"Understanding Abstract Syntax Trees (AST)" matching MCP servers:

Reusable MCP server for Python backend development with FastAPI, MongoDB, and Stackraise support.

Enforces safety and governance for SQL queries executed by AI agents, providing read-only enforcement, cost estimation, and audit trails.

MCP server for Neo4j that provides abstract graph operations for LLMs, enabling safe and consistent interaction with Neo4j databases through tools like search, insert, update, delete, and schema introspection.

Builds rich code graphs from TypeScript/NestJS codebases using AST analysis and Neo4j, enabling semantic search, natural language querying, and intelligent graph traversal to provide deep contextual understanding of code relationships and dependencies.

Enables LLM clients to query SQL databases via natural language with read-only, AST-validated, and capped queries, ensuring safety guarantees.

Enables natural language querying of SQL databases with robust safety guarantees including read-only enforcement, AST validation, and row caps.

A secure MCP server for querying a subscription business database with AST-based SQL guarding, PII masking, audited two-step write actions, and a seeded demo dataset.

SQL Server MCP server with AST-based query validation, read-only safety, schema exploration, ER diagram generation, and DBA toolkit integration (First Responder Kit, DarlingData, sp_WhoIsActive).

A security-hardened Postgres MCP server that enables LLM agents to run safe, read-only SQL queries with enforcement via SQL-AST inspection and read-only transactions.

An AI-to-DB secure gateway that enables AI assistants like Claude Code to interact with MySQL databases through controlled, auditable operations with permission modes and AST-level validation.

Validates BigQuery SQL syntax and performs dry-run analysis without executing queries, providing cost estimates, referenced tables, and schema previews.

An MCP server that provides persistent memory for database schemas by storing table structures and metadata in a local SQLite file. It enables LLMs to save, retrieve, and manage database snapshots to maintain a structured understanding of database architectures.

Converts SQL queries between different database dialects using the sqlglot library to ensure cross-system compatibility. It allows users to list supported dialects and transpile SQL code from one syntax to another through the Model Context Protocol.

Enables MCP clients such as Codex to safely inspect a MySQL database over stdio by listing tables, describing schemas and indexes, and running only validated single read-only SELECT/CTE queries plus JSON EXPLAIN plans. Queries execute inside read-only transactions with strict AST-based rejection of writes, multi-statements, and other risky operations, and results come back as structured JSON.

A Node.js implementation that provides tools for advanced PubMed searching, including full abstract retrieval and PMC full-text search within open access articles. It features SQLite-backed search history and allows users to filter results by MeSH terms and specific publication dates.

A Model Context Protocol server implementation that enables LLMs to interact with NebulaGraph database for graph exploration, supporting schema understanding, queries, and graph algorithms.

Enables validation and dry-run analysis of BigQuery SQL queries without execution. Provides cost estimates, schema previews, and syntax validation for BigQuery queries.

A Model Context Protocol server implementation that enables LLMs to query and manipulate JSON data using JSONPath syntax with extended operations for filtering, sorting, transforming, and aggregating data.

Local-first codebase intelligence engine providing AI coding agents with a typed MCP toolset for understanding and navigating code repositories.

LLM-assisted, safety-gated Postgres migrations exposed as an MCP server, using a deterministic rule engine over Postgres's own parser AST for safety enforcement, with two-phase approval and append-only audit ledger.