Awesome MCP Servers

Provides semantic search capabilities for PostgreSQL databases using the pgvector extension, with support for multiple embedding providers.

An MCP server for querying a PostgreSQL database in read-only mode.

A server that enables AI models to interact with PostgreSQL databases through a standardized interface.

Uses Qdrant vector embeddings to understand semantic relationships in codebases.

An MCP server for querying databases and managing Kubernetes clusters.

Access PubMed articles through the Entrez API.

Read-only access to Snowflake databases. Requires Snowflake connection information provided via MCP client configuration.

A Node.js MCP server for interacting with local SQLite databases, runnable via npx.

Open source MCP server specializing in easy, fast, and secure tools for Databases.

Integrates with Trino and Iceberg for advanced data exploration, querying, and table maintenance.

Logs statistical variations and unusual events in conversation structures to a SQLite database.

A server for managing and querying Vertica databases, including connection, schema, and security management.

Access real-time stock prices, company information, and financial data from Yahoo Finance.

You are working with the MCP MySQL Operations Server, a powerful tool that provides comprehensive MySQL database monitoring and analysis capabilities through natural language queries. This server offers 19 specialized tools for database administration, performance monitoring, and system analysis.

MCP-PostgreSQL-Ops is a professional MCP server for PostgreSQL database operations, monitoring, and management. Supports PostgreSQL 12-17 with comprehensive database analysis, performance monitoring, and intelligent maintenance recommendations through natural language queries.

Integrates with Mem0.ai to provide persistent memory capabilities for LLMs, supporting cloud, Supabase, and local storage.

A scalable knowledge graph memory system for LLMs with semantic retrieval and temporal awareness, using Neo4j as a backend.

Enables Large Language Models to store and retrieve persistent memories with intelligent search capabilities.

Knowledge graph-based persistent memory system

An MCP server that reduces token consumption by efficiently caching data between language model interactions.

Extends the MCP Memory server to create and manage a knowledge graph from LLM interactions.

Extends the Memory server with PouchDB for robust document-based storage, custom memory file paths, and interaction timestamping.

a lightweight, local RAG memory store to record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who wants their AI to actually remember them.

Integrates AI assistants with the Metabase analytics platform.

Integrates AI assistants with the Metabase business intelligence and analytics platform.

Interact with Metabase, the open-source business intelligence platform, using Large Language Models.

Integrate with Metabase to query databases and visualize data. Requires Metabase URL and API key for authentication.

Integrates with Metabase for data visualization and business intelligence. Requires METABASE_URL, METABASE_USERNAME, and METABASE_PASSWORD environment variables.

Access structured Michelin restaurant data, including cities, countries, cuisines, awards, and facilities.

Interact with the microCMS headless CMS API, enabling AI assistants to manage content.