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

Integrates RAG into AI agents via MCP Server, supporting multiple vector database technologies for collection management and search operations.

Archived MCP server for PostgreSQL health monitoring; functionality merged into pg-dash.

Enables integrating RAG into AI agents via MCP server, supporting multiple vector database technologies.

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.

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 lightweight Postgres MCP server for safe database exploration and query analysis, read-only by default, with multi-database support.

A production-grade MCP server for integrating RAG into AI agents, supporting multiple vector databases with enterprise security and dynamic tool selection.

A shared, persistent MCP memory server for coding agents that enables storing and retrieving project decisions and context across different tools like Claude Code, Codex, and Cursor using semantic vector search.

Enables semantic search across PostgreSQL, TimescaleDB, and PostGIS documentation to help AI coding assistants write better PostgreSQL code.

A deterministic SVG perception tool for LLM agents that renders SVGs in a real browser to measure geometry, colors, and spatial constraints, reporting results in grid grammar and W3C color names without guessing.

Automates SEO report generation from Google Drive data via Claude Desktop, supporting multiple data types and exporting reports in DOCX, HTML, PPTX, and PNG formats.

In-memory vector store with TF-IDF vectorization and cosine similarity search, paid per call via x402 micropayments.

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.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

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

Enables fetching Google's AI Overview answers and cited sources as structured JSON, with support for batch queries and country/language targeting.

PostgreSQL MCP server that converts natural language to SQL and executes queries, with multi-database support and robust read-only safety checks.