{
  "name": "diogenes-database-intelligence-mcp",
  "package": "database-intelligence",
  "server_id": "io.github.stand-out-of-my-sun/diogenes-database-intelligence",
  "tensorblock_profile_id": "github-stand-out-of-my-sun-diogenes-database-intelligence-mcp-a4a420cb",
  "version": "2.5.0",
  "description": "12 deterministic database intelligence, AST SQL & schema reliability tools: natural language to SQL synthesizer, AST SQL injection & tautology auditor, query plan EXPLAIN optimizer, breaking schema migration differ, polyglot SQL transpiler (PostgreSQL/MySQL/SQLite), composite B-tree index advisor, relational 3NF/BCNF normalization validator, SQL telemetry PII scrubber, relational mock seed fixture generator, connection pool headroom calculator, transaction isolation hazard auditor, and ORM model compiler (Prisma/Drizzle/Zod).",
  "protocol": "mcp-2024-11-05",
  "transport": "streamable-http",
  "category": "Security",
  "license": "MIT",
  "maintainer": "@stand-out-of-my-sun",
  "auth": {
    "type": "none",
    "accountless": true,
    "summary": "No auth required for free tier, MCP tool discovery, and ?demo=true previews (no account, no API key, no registration). Optional pay-per-request L402/x402/MPP headers for production execution.",
    "headers": {
      "L402": "Authorization: L402 <macaroon>:<preimage_hex>",
      "x402": "X-Payment-Signature: <solana_tx_signature>",
      "MPP": "X-Payment-TxHash: <base_evm_tx_hash>"
    }
  },
  "install_confidence": "high",
  "verification": {
    "status": "verified",
    "maintainer": "@stand-out-of-my-sun",
    "tensorblock_json": "https://diogenes-micro-gateway.corinth.workers.dev/.well-known/tensorblock.json",
    "glama_json": "https://diogenes-micro-gateway.corinth.workers.dev/.well-known/glama.json",
    "health_check": "https://diogenes-micro-gateway.corinth.workers.dev/api/v1/health"
  },
  "homepage": "https://diogenes-micro-gateway.corinth.workers.dev",
  "endpoints": {
    "mcp_streamable_http": "https://diogenes-micro-gateway.corinth.workers.dev/mcp",
    "health": "https://diogenes-micro-gateway.corinth.workers.dev/api/v1/health",
    "docs": "https://diogenes-micro-gateway.corinth.workers.dev/llms.txt",
    "support": "https://github.com/stand-out-of-my-sun/diogenes-micro-gateway/issues",
    "l402_lightning": "diogenesrecv0e236a@coinos.io",
    "x402_solana": "3vuU9jvaohMG6oPY7NVrUggcSJ4CuhcByxoQk68EC6hj",
    "mpp_base_evm": "0x0E97828055Ea1291e57dB32EBEfC6e7b3F7AcACb",
    "garlicoin_segwit": "grlc1qnd34hu5jrde5akkezy3c6y4vzw6xtntpxwdwxh",
    "garlicoin_classic": "GY1YBTTfgCEjMspTxJUed3FkvSasNgMQWu",
    "bsc_grlc": "0x7E720EE1675fd81aCfF14692E864eCFA17dc3e3e",
    "bsc_wgrlc_contract": "0x7283DfA2d8D7e277b148cc263B5d8Ae02f1076D3"
  },
  "tools": [
    {
      "name": "synthesize_sql_query",
      "title": "Deterministic NL-to-SQL Synthesizer & Dialect Query Generator",
      "description": "Translates natural language questions into dialect-accurate, optimized SQL SELECT queries with schema awareness and safety checks. Use when generating reporting queries or automated data analytics pipelines; for analyzing SQL execution performance and EXPLAIN plans, use analyze_query_plan instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'natural_language_request' and 'schema_ddl' ('sql_dialect' defaults to 'postgresql_dialect'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "natural_language_request": {
            "type": "string",
            "description": "Natural language question or reporting requirement to transform into SQL."
          },
          "schema_ddl": {
            "type": "string",
            "description": "Database schema DDL statements defining available tables, columns, and relations."
          },
          "sql_dialect": {
            "type": "string",
            "description": "Target SQL dialect specification: PostgreSQL dialect, MySQL dialect, or SQLite dialect.",
            "enum": [
              "postgresql_dialect",
              "mysql_dialect",
              "sqlite_dialect"
            ]
          },
          "read_only_mode": {
            "type": "boolean",
            "description": "Whether to enforce strict read-only SELECT query constraints."
          }
        },
        "required": [
          "natural_language_request",
          "schema_ddl"
        ]
      },
      "outputSchema": {
        "type": "object",
        "description": "Deterministic execution response schema for synthesize_sql_query.",
        "properties": {
          "sql_query": {
            "type": "string",
            "description": "Synthesized, formatted SQL query tailored to the provided schema and dialect."
          },
          "dialect": {
            "type": "string",
            "description": "Database engine dialect target the query was generated for."
          },
          "query_type": {
            "type": "string",
            "description": "Operation classification (e.g., SELECT_AGGREGATE, SELECT_JOIN, FILTERED_SCAN)."
          },
          "explanation": {
            "type": "string",
            "description": "Step-by-step rationale explaining table joins, filtering predicates, and grouping logic."
          },
          "safety_checked": {
            "type": "boolean",
            "description": "True if AST static analysis verified the query has zero mutation side-effects."
          }
        },
        "required": [
          "sql_query",
          "dialect",
          "query_type",
          "explanation",
          "safety_checked"
        ]
      },
      "annotations": {
        "title": "Deterministic NL-to-SQL Synthesizer & Dialect Query Generator",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": false
      }
    },
    {
      "name": "audit_sql_injection_ast",
      "title": "Deterministic SQL AST Injection & Tautology Vulnerability Auditor",
      "description": "Statically parses SQL queries via AST lexical analysis to detect second-order injection, tautology conditions, and stacked queries. Use when auditing dynamic query parameters or untrusted user input before database execution; for sanitizing query strings for telemetry logging, use sanitize_sql_telemetry instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'raw_sql' ('audit_sensitivity' defaults to 'strict_zero_dynamic_taint'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "raw_sql": {
            "type": "string",
            "description": "Raw SQL query string to parse and audit for injection vulnerabilities."
          },
          "audit_sensitivity": {
            "type": "string",
            "description": "Audit sensitivity mode: strict zero dynamic taint, second order injection check, or standard syntax audit.",
            "enum": [
              "strict_zero_dynamic_taint",
              "second_order_injection_check",
              "standard_syntax_audit"
            ]
          },
          "allow_comments": {
            "type": "boolean",
            "description": "Whether SQL inline comments are allowed or treated as injection vectors."
          }
        },
        "required": [
          "raw_sql"
        ]
      },
      "outputSchema": {
        "type": "object",
        "description": "Deterministic execution response schema for audit_sql_injection_ast.",
        "properties": {
          "is_safe": {
            "type": "boolean",
            "description": "True if the SQL query passed AST security audit with zero injection indicators."
          },
          "risk_score": {
            "type": "number",
            "description": "Continuous vulnerability score between 0.0 (safe) and 1.0 (critical exploit)."
          },
          "vulnerabilities": {
            "type": "array",
            "description": "List of flagged injection mechanisms (e.g., tautology_always_true, stacked_statement, comment_truncation)."
          },
          "ast_fingerprint": {
            "type": "string",
            "description": "Normalized structural AST hash of the parsed statement tree."
          }
        },
        "required": [
          "is_safe",
          "risk_score",
          "vulnerabilities",
          "ast_fingerprint"
        ]
      },
      "annotations": {
        "title": "Deterministic SQL AST Injection & Tautology Vulnerability Auditor",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": false
      }
    },
    {
      "name": "analyze_query_plan",
      "title": "SQL Query Plan EXPLAIN Optimizer & Bottleneck Diagnostics",
      "description": "Analyzes SQL EXPLAIN execution plans to detect sequential table scans, high-cost cartesian joins, and buffer memory bottlenecks. Use when diagnosing slow queries, optimizing database performance, or evaluating query cost; for getting index recommendations, use recommend_database_indexes instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'explain_plan_or_query' ('optimization_target' defaults to 'eliminate_seq_scans'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "explain_plan_or_query": {
            "type": "string",
            "description": "Raw text or JSON output of EXPLAIN / EXPLAIN ANALYZE or the candidate SQL query."
          },
          "optimization_target": {
            "type": "string",
            "description": "Optimization goal: eliminate sequential scans, reduce memory buffers, or minimize join costs.",
            "enum": [
              "eliminate_seq_scans",
              "reduce_memory_buffers",
              "minimize_join_costs"
            ]
          },
          "database_engine": {
            "type": "string",
            "description": "Database engine name (e.g., 'postgres', 'mysql', 'sqlite')."
          }
        },
        "required": [
          "explain_plan_or_query"
        ]
      },
      "outputSchema": {
        "type": "object",
        "description": "Deterministic execution response schema for analyze_query_plan.",
        "properties": {
          "bottlenecks_detected": {
            "type": "array",
            "description": "Identified query execution bottlenecks (e.g., Seq Scan on large table, Nested Loop join)."
          },
          "estimated_cost_reduction_pct": {
            "type": "number",
            "description": "Estimated potential query cost reduction percentage with recommended optimizations."
          },
          "recommended_rewrites": {
            "type": "array",
            "description": "Specific SQL query rewrites and predicate adjustments to improve performance."
          }
        },
        "required": [
          "bottlenecks_detected",
          "estimated_cost_reduction_pct",
          "recommended_rewrites"
        ]
      },
      "annotations": {
        "title": "SQL Query Plan EXPLAIN Optimizer & Bottleneck Diagnostics",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": false
      }
    },
    {
      "name": "detect_breaking_migrations",
      "title": "Database Schema Migration Differ & Breaking Change Linter",
      "description": "Compares source and target DDL schemas to identify breaking changes, destructive column drops, and lock-inducing mutations. Use when verifying CI/CD migration scripts before production deployment to prevent downtime; for verifying relational normal form, use validate_schema_normalization instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'current_schema' and 'target_schema' ('risk_tolerance' defaults to 'zero_downtime_strict'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "current_schema": {
            "type": "string",
            "description": "Current production database DDL schema representing live tables and columns."
          },
          "target_schema": {
            "type": "string",
            "description": "Proposed new database DDL schema representing target migration state."
          },
          "risk_tolerance": {
            "type": "string",
            "description": "Deployment safety policy: zero downtime strict, allow transient locks, or permissive dev.",
            "enum": [
              "zero_downtime_strict",
              "allow_transient_locks",
              "permissive_dev"
            ]
          }
        },
        "required": [
          "current_schema",
          "target_schema"
        ]
      },
      "outputSchema": {
        "type": "object",
        "description": "Deterministic execution response schema for detect_breaking_migrations.",
        "properties": {
          "breaking_changes_detected": {
            "type": "boolean",
            "description": "True if breaking changes or destructive table mutations were identified."
          },
          "risk_level": {
            "type": "string",
            "description": "Categorical migration risk assessment (LOW, MEDIUM, HIGH_LOCK_RISK, CRITICAL_DATA_LOSS)."
          },
          "breaking_operations": {
            "type": "array",
            "description": "List of destructive changes (e.g., column dropped, non-null without default, type narrowing)."
          },
          "migration_steps_safe_order": {
            "type": "array",
            "description": "Recommended zero-downtime phased rollout steps (expand, migrate, contract)."
          }
        },
        "required": [
          "breaking_changes_detected",
          "risk_level",
          "breaking_operations",
          "migration_steps_safe_order"
        ]
      },
      "annotations": {
        "title": "Database Schema Migration Differ & Breaking Change Linter",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": false
      }
    },
    {
      "name": "transpile_sql_dialect",
      "title": "Polyglot SQL Dialect Transpiler (PostgreSQL, MySQL, SQLite)",
      "description": "Transpiles SQL queries and DDL schemas across PostgreSQL, MySQL, and SQLite dialects, rewriting functions and syntax quirks. Use when migrating application queries across database backends or testing against in-memory SQLite; for generating new queries from natural language, use synthesize_sql_query instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'sql_code' and 'source_dialect' ('target_dialect' defaults to 'sqlite'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "sql_code": {
            "type": "string",
            "description": "SQL query or DDL statement to convert from source dialect into target dialect."
          },
          "source_dialect": {
            "type": "string",
            "description": "Original SQL dialect of the input code: postgresql, mysql, or sqlite.",
            "enum": [
              "postgresql",
              "mysql",
              "sqlite"
            ]
          },
          "target_dialect": {
            "type": "string",
            "description": "Destination SQL dialect to transpile into: postgresql, mysql, or sqlite.",
            "enum": [
              "postgresql",
              "mysql",
              "sqlite"
            ]
          }
        },
        "required": [
          "sql_code",
          "source_dialect",
          "target_dialect"
        ]
      },
      "outputSchema": {
        "type": "object",
        "description": "Deterministic execution response schema for transpile_sql_dialect.",
        "properties": {
          "transpiled_sql": {
            "type": "string",
            "description": "Transpiled SQL code compliant with the target database dialect specification."
          },
          "syntax_transformations": {
            "type": "array",
            "description": "List of dialect-specific transformations applied (e.g., NOW() to CURRENT_TIMESTAMP)."
          },
          "compatibility_warnings": {
            "type": "array",
            "description": "Potential semantic differences or unsupported features flagged during transpilation."
          }
        },
        "required": [
          "transpiled_sql",
          "syntax_transformations",
          "compatibility_warnings"
        ]
      },
      "annotations": {
        "title": "Polyglot SQL Dialect Transpiler (PostgreSQL, MySQL, SQLite)",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": false
      }
    },
    {
      "name": "recommend_database_indexes",
      "title": "Database Index Advisor & Composite B-Tree Optimizer",
      "description": "Recommends optimal single-column and composite B-Tree/BRIN indexes based on slow query WHERE, JOIN, and ORDER BY clauses. Use when optimizing database response times and eliminating full-table scans; for inspecting full execution plans, use analyze_query_plan instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'slow_queries_or_workload' ('index_type_preference' defaults to 'btree_and_composite'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "slow_queries_or_workload": {
            "type": "string",
            "description": "Collection of slow SQL queries or workload log statements to analyze for index gaps."
          },
          "index_type_preference": {
            "type": "string",
            "description": "Target indexing strategy: B-tree and composite, BRIN and GIN sparse, or covering indexes with INCLUDE.",
            "enum": [
              "btree_and_composite",
              "brin_and_gin_sparse",
              "covering_indexes_include"
            ]
          },
          "max_new_indexes": {
            "type": "integer",
            "description": "Maximum number of index creation statements to recommend."
          }
        },
        "required": [
          "slow_queries_or_workload"
        ]
      },
      "outputSchema": {
        "type": "object",
        "description": "Deterministic execution response schema for recommend_database_indexes.",
        "properties": {
          "recommended_indexes": {
            "type": "array",
            "description": "List of recommended CREATE INDEX DDL statements with target columns."
          },
          "expected_speedup_factor": {
            "type": "number",
            "description": "Estimated average query execution speedup multiple (e.g. 14.5x)."
          },
          "storage_overhead_est": {
            "type": "string",
            "description": "Estimated index disk storage footprint overhead impact."
          }
        },
        "required": [
          "recommended_indexes",
          "expected_speedup_factor",
          "storage_overhead_est"
        ]
      },
      "annotations": {
        "title": "Database Index Advisor & Composite B-Tree Optimizer",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": false
      }
    },
    {
      "name": "validate_schema_normalization",
      "title": "Relational Schema Normalization Auditor (3NF, BCNF) & Integrity Guard",
      "description": "Audits database schemas for third normal form (3NF) compliance, transitive dependencies, and missing foreign key constraints. Use when reviewing database architectures, preventing update anomalies, or validating relational integrity; for detecting breaking schema migrations, use detect_breaking_migrations instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'schema_ddl' ('target_normal_form' defaults to 'third_normal_form_3nf'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "schema_ddl": {
            "type": "string",
            "description": "Database schema DDL statements defining table columns, primary keys, and relations."
          },
          "target_normal_form": {
            "type": "string",
            "description": "Target normalization standard: 3NF, Boyce-Codd BCNF, or denormalized OLAP star.",
            "enum": [
              "third_normal_form_3nf",
              "boyce_codd_bcnf",
              "denormalized_olap_star"
            ]
          },
          "strict_keys": {
            "type": "boolean",
            "description": "Whether to enforce explicit foreign key constraints on all ID references."
          }
        },
        "required": [
          "schema_ddl"
        ]
      },
      "outputSchema": {
        "type": "object",
        "description": "Deterministic execution response schema for validate_schema_normalization.",
        "properties": {
          "conforms_to_target": {
            "type": "boolean",
            "description": "True if the schema strictly satisfies the chosen normal form requirements."
          },
          "normalization_score": {
            "type": "integer",
            "description": "Schema relational design quality score on a 0 to 100 scale."
          },
          "redundancies_flagged": {
            "type": "array",
            "description": "List of redundant fields, missing primary keys, or transitive dependencies identified."
          },
          "refactoring_suggestions": {
            "type": "array",
            "description": "Specific table decomposition and foreign key recommendations to achieve compliance."
          }
        },
        "required": [
          "conforms_to_target",
          "normalization_score",
          "redundancies_flagged",
          "refactoring_suggestions"
        ]
      },
      "annotations": {
        "title": "Relational Schema Normalization Auditor (3NF, BCNF) & Integrity Guard",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": false
      }
    },
    {
      "name": "sanitize_sql_telemetry",
      "title": "SQL Query Telemetry PII Scrubber & Parameterization Masker",
      "description": "Masks PII, financial values, and credential literals from raw SQL query logs and slow-query dumps before telemetry storage. Use when scrubbing production database query logs before shipping to APM tools, Datadog, or external log collectors; for auditing SQL injection vulnerabilities, use audit_sql_injection_ast instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'query_logs' ('masking_policy' defaults to 'mask_pii_and_literals'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "query_logs": {
            "type": "string",
            "description": "Raw SQL query text or multi-line database query log strings requiring sanitization."
          },
          "masking_policy": {
            "type": "string",
            "description": "Scrubbing rigor policy: mask PII and literals, anonymize all constants, or strict AST parameterization.",
            "enum": [
              "mask_pii_and_literals",
              "anonymize_all_constants",
              "strict_ast_parameterization"
            ]
          },
          "hash_salt": {
            "type": "string",
            "description": "Optional salt string for deterministic pseudonymization of user IDs."
          }
        },
        "required": [
          "query_logs"
        ]
      },
      "outputSchema": {
        "type": "object",
        "description": "Deterministic execution response schema for sanitize_sql_telemetry.",
        "properties": {
          "sanitized_logs": {
            "type": "string",
            "description": "Clean query logs with sensitive constants replaced by parameter placeholders."
          },
          "redacted_literals_count": {
            "type": "integer",
            "description": "Total number of strings, numbers, and PII literals scrubbed from logs."
          },
          "parameterized_templates": {
            "type": "array",
            "description": "Normalized abstract query patterns suitable for APM metrics grouping."
          }
        },
        "required": [
          "sanitized_logs",
          "redacted_literals_count",
          "parameterized_templates"
        ]
      },
      "annotations": {
        "title": "SQL Query Telemetry PII Scrubber & Parameterization Masker",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": false
      }
    },
    {
      "name": "synthesize_seed_fixtures",
      "title": "Deterministic Relational Seed Data & SQL Mock Fixture Generator",
      "description": "Generates deterministic relational test seed fixtures respecting foreign key constraints, unique indexes, and data bounds. Use when provisioning mock database datasets for automated testing, staging environments, or sandbox demos; for compiling ORM models from schemas, use generate_orm_models instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'schema_ddl' ('fixture_volume' defaults to 'minimal_smoke_test_5'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "schema_ddl": {
            "type": "string",
            "description": "Target database schema DDL defining tables, column types, and foreign key relations."
          },
          "fixture_volume": {
            "type": "string",
            "description": "Mock dataset volume profile: minimal smoke test (5), standard dataset (50), or stress dataset (500).",
            "enum": [
              "minimal_smoke_test_5",
              "standard_dataset_50",
              "stress_dataset_500"
            ]
          },
          "deterministic_seed": {
            "type": "integer",
            "description": "Integer seed for reproducible pseudo-random data generation."
          }
        },
        "required": [
          "schema_ddl"
        ]
      },
      "outputSchema": {
        "type": "object",
        "description": "Deterministic execution response schema for synthesize_seed_fixtures.",
        "properties": {
          "sql_inserts": {
            "type": "string",
            "description": "Executable SQL INSERT statements populated with realistic mock records."
          },
          "records_generated_per_table": {
            "type": "object",
            "description": "Count of generated records partitioned by target table name."
          },
          "foreign_keys_satisfied": {
            "type": "boolean",
            "description": "True if all foreign key dependencies and unique constraints were verified valid."
          }
        },
        "required": [
          "sql_inserts",
          "records_generated_per_table",
          "foreign_keys_satisfied"
        ]
      },
      "annotations": {
        "title": "Deterministic Relational Seed Data & SQL Mock Fixture Generator",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": false
      }
    },
    {
      "name": "calculate_pool_headroom",
      "title": "Database Connection Pool Sizing & Concurrency Headroom Calculator",
      "description": "Calculates optimal connection pool sizing, idle timeouts, and client headroom based on server RAM and concurrency profile. Use when sizing PgBouncer, HikariCP, or Prisma connection pools to avoid server out-of-memory crashes; for checking transaction isolation hazards, use audit_transaction_isolation instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'server_ram_mb' and 'max_concurrent_clients' ('workload_profile' defaults to 'high_concurrency_oltp'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "server_ram_mb": {
            "type": "number",
            "description": "Total available RAM in megabytes dedicated to the database server instance."
          },
          "max_concurrent_clients": {
            "type": "number",
            "description": "Peak anticipated concurrent client connections or serverless worker threads."
          },
          "workload_profile": {
            "type": "string",
            "description": "Workload operational characteristics: high-concurrency OLTP, heavy analytical OLAP, or serverless edge burst.",
            "enum": [
              "high_concurrency_oltp",
              "heavy_analytical_olap",
              "serverless_edge_burst"
            ]
          }
        },
        "required": [
          "server_ram_mb",
          "max_concurrent_clients"
        ]
      },
      "outputSchema": {
        "type": "object",
        "description": "Deterministic execution response schema for calculate_pool_headroom.",
        "properties": {
          "recommended_max_connections": {
            "type": "integer",
            "description": "Calculated optimal max pool size to avoid database thrashing and memory exhaustion."
          },
          "recommended_min_idle": {
            "type": "integer",
            "description": "Recommended standby idle connection count for warm latency response."
          },
          "connection_timeout_ms": {
            "type": "integer",
            "description": "Recommended pool connection acquisition timeout in milliseconds."
          },
          "memory_headroom_mb": {
            "type": "number",
            "description": "Estimated unallocated memory buffer in megabytes remaining for query sorting."
          }
        },
        "required": [
          "recommended_max_connections",
          "recommended_min_idle",
          "connection_timeout_ms",
          "memory_headroom_mb"
        ]
      },
      "annotations": {
        "title": "Database Connection Pool Sizing & Concurrency Headroom Calculator",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": false
      }
    },
    {
      "name": "audit_transaction_isolation",
      "title": "Transaction Concurrency Anomaly & Isolation Level Hazard Auditor",
      "description": "Audits database transaction workflows for concurrency anomalies, dirty reads, non-repeatable reads, and deadlock risks. Use when reviewing financial transfer procedures, inventory decrement operations, or multi-step checkout workflows; for calculating connection pool headroom, use calculate_pool_headroom instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'transaction_steps' ('target_isolation_level' defaults to 'read_committed'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "transaction_steps": {
            "type": "string",
            "description": "Sequential SQL commands or description of business operations within the transaction."
          },
          "target_isolation_level": {
            "type": "string",
            "description": "Candidate SQL isolation level: read committed, repeatable read, or serializable.",
            "enum": [
              "read_committed",
              "repeatable_read",
              "serializable"
            ]
          },
          "strict_deadlock_check": {
            "type": "boolean",
            "description": "Whether to perform exhaustive cross-table lock acquisition ordering analysis."
          }
        },
        "required": [
          "transaction_steps"
        ]
      },
      "outputSchema": {
        "type": "object",
        "description": "Deterministic execution response schema for audit_transaction_isolation.",
        "properties": {
          "vulnerable_to_dirty_reads": {
            "type": "boolean",
            "description": "True if transactions could read uncommitted intermediate state from other sessions."
          },
          "vulnerable_to_phantom_reads": {
            "type": "boolean",
            "description": "True if concurrent inserts could introduce phantom rows between sequential reads."
          },
          "deadlock_risk": {
            "type": "string",
            "description": "Deadlock risk severity rating (NEGLIGIBLE, MODERATE, HIGH_REVERSED_LOCK_ORDER)."
          },
          "recommended_isolation": {
            "type": "string",
            "description": "Optimal transaction isolation level to ensure ACID safety for the workload."
          }
        },
        "required": [
          "vulnerable_to_dirty_reads",
          "vulnerable_to_phantom_reads",
          "deadlock_risk",
          "recommended_isolation"
        ]
      },
      "annotations": {
        "title": "Transaction Concurrency Anomaly & Isolation Level Hazard Auditor",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": false
      }
    },
    {
      "name": "generate_orm_models",
      "title": "SQL DDL to Type-Safe ORM Entity Compiler (Prisma, Drizzle, Zod)",
      "description": "Compiles SQL DDL schemas into type-safe ORM entities and TypeScript validation schemas (Prisma, Drizzle, SQLAlchemy, Zod). Use when scaffolding application models, generating TypeScript data layers, or synchronizing schemas; for translating raw SQL across dialects, use transpile_sql_dialect instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'schema_ddl' ('orm_target' defaults to 'drizzle_orm_typescript'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "schema_ddl": {
            "type": "string",
            "description": "Database schema DDL statements defining tables, primary keys, and relationships."
          },
          "orm_target": {
            "type": "string",
            "description": "Target ORM framework standard: Prisma schema, Drizzle ORM TypeScript, SQLAlchemy Python 2.0, or Zod types.",
            "enum": [
              "prisma_schema",
              "drizzle_orm_typescript",
              "sqlalchemy_python_2_0",
              "zod_types_validation"
            ]
          },
          "include_relations": {
            "type": "boolean",
            "description": "Whether to generate explicit foreign key relation decorators and navigation properties."
          }
        },
        "required": [
          "schema_ddl"
        ]
      },
      "outputSchema": {
        "type": "object",
        "description": "Deterministic execution response schema for generate_orm_models.",
        "properties": {
          "compiled_code": {
            "type": "string",
            "description": "Generated type-safe model code matching the specified ORM or validation schema framework."
          },
          "orm_framework": {
            "type": "string",
            "description": "Name of the target ORM framework output produced."
          },
          "models_generated": {
            "type": "array",
            "description": "List of model entity names successfully parsed and compiled from the schema."
          }
        },
        "required": [
          "compiled_code",
          "orm_framework",
          "models_generated"
        ]
      },
      "annotations": {
        "title": "SQL DDL to Type-Safe ORM Entity Compiler (Prisma, Drizzle, Zod)",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": false
      }
    }
  ]
}