"Overview and Information on PG Vector" matching MCP servers:

Enables developers and product owners to scan a codebase and extract a readable business overview—features, roles, access control, data model, and endpoints—along with findings on missing or inconsistent rules, and generate shareable HTML or Markdown reports and diagrams.

PG-MCP is an HTTP server implementation that enables AI systems to interact with PostgreSQL databases via MCP, providing tools for querying, connecting to multiple databases, and exploring schema resources. The system enriches context by extracting table/column description from database catalogs.

MCP server providing deep PostgreSQL context to AI assistants, including schema DDL, index health, foreign key associations, query execution plans, and performance statistics via read-only tools.

Gives agents read-only access to PostgreSQL databases, enabling them to inspect schemas, sample rows, compare stands, view query plans, and run read-only SQL through a single entry point.

Enables AI assistants to query PostgreSQL databases, inspect schemas, and retrieve complete DDL with built-in read-only protection. It supports multiple database connections and allows for secure database interaction and exploration via the Model Context Protocol.

A secure vector-based memory server that provides persistent semantic memory for AI assistants using sqlite-vec and sentence-transformers. It enables semantic search and organization of coding experiences, solutions, and knowledge with features like auto-cleanup and deduplication.

Enables MCP-compatible clients to interact with PostgreSQL databases with multi-database support and connection pooling.

Enables AI assistants to safely explore PostgreSQL schemas, inspect sample rows, draft queries, and read EXPLAIN plans through a read-only enforced interface for MCP clients.

Enables read-only PostgreSQL database access with query, table listing, and schema inspection tools.

Enables MCP clients to explore PostgreSQL schemas, run guarded read-only queries with row limits, and inspect execution plans without executing them. It prevents writes and DDL while exposing schema discovery tools, a schema overview resource, and a guided analysis prompt.

AI-native PostgreSQL health checker with 26 MCP tools for query analysis, bloat detection, migration safety, and CI integration.

A Model Context Protocol server for PostgreSQL that enables database operations like querying, schema inspection, performance analysis, and administration through a JSON-RPC 2.0 interface.

Enables LLM assistants to analyze PostgreSQL query execution plans with EXPLAIN and receive structured reports highlighting performance bottlenecks, all through read-only database access.

A local stdio MCP bridge that enables Cursor to interact with a remote PostgreSQL database through a PHP/Apache HTTP tunnel.

Enables AI assistants to discover allowed PostgreSQL schemas, run parameterized SELECT queries, and inspect query plans safely through parser-checked read-only transactions, timeouts, row caps, and role-based access controls.

Enables read-only PostgreSQL schema exploration through natural language, including tables, indexes, sizes, sample rows, and query plans, with structural safeguards against writes.

Enables unified code search and analysis over a monorepo, combining exact, semantic, and call graph queries with indexing, incremental updates, and impact analysis.

Enables an AI assistant to access many named PostgreSQL database connections at once, selecting connections by name or alias and reusing pools for queries, schema inspection, and analysis tools. It supports read-only or unrestricted access modes, live config reloads, and safe result truncation.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

A PostgreSQL MCP server that enables querying and managing multiple databases through a single configuration file without needing separate server instances. It provides tools for executing SQL queries, listing databases, and inspecting table schemas with built-in support for read-only transactions and connection pooling.

Enables running a stateless Model Context Protocol server over Streamable HTTP on Cloudflare Workers or any fetch-capable runtime, with signed sessions, origin checks, and JSON-RPC request handling. It lets developers define tools with JSON Schema validation and per-request context.

Enables Claude Code, Cursor, and Codex users to orchestrate plan/build/review workflows across host or CLI models with a spec gate, tool vetting, hard per-run and per-day cost/token limits, safe defaults, and clear logs.

A Model Context Protocol server for PostgreSQL databases that enables AI agents to connect, query, and explore multiple databases with schema discovery and extension context.

Securely connect AI assistants to PostgreSQL databases with read-only access, schema discovery, querying, and performance analysis tools.

Enables indexing and semantic search of software project files via MCP, with automatic file watching for updates.

Enables coding agents to determine whether Postgres/Supabase migration files were truly applied by parsing each migration and comparing every object it should create against the live pg_catalog. It also surfaces discrepancies between repository files and the recorded migration history, all through read-only tools.

Enables scanning PostgreSQL migrations for ACCESS EXCLUSIVE lock hazards and rewriting unsafe SQL into zero-downtime forms via the rewrite_zero_downtime MCP tool.

A secure, vector-based task management server for Claude Desktop using sqlite-vec and sentence-transformers. It provides intelligent task tracking with semantic search capabilities to organize and retrieve development tasks efficiently.

A PostgreSQL MCP server with AST-based security for safe database operations. Enables AI assistants to query and manage PostgreSQL databases securely.

A humorous MCP server that always advises against shipping on Friday, returning a catastrophic risk level and a rotating reason.