Database
| Server | Language | Stars | Downloads |
|---|---|---|---|
| ExploitDB Provides direct access to ExploitDB functionality for cybersecurity research, enabling exploit searches by keywords, CVE IDs, or platforms with local database caching for threat intelligence and vulnerability analysis. | — | 18 | — |
| Express-REST-API-and-MCP-Server-Framework Express REST API and MCP Server Framework is a comprehensive development framework for building RESTful APIs and MCP servers with Express.js. It provides a complete template for creating production-ready APIs using Node.js, Express, Mongoose (MongoDB), and Sequelize (SQL databases). | TypeScript | 149 | — |
| Eyevinn Open Source Cloud EyevinnOSC's MCP server enables AI assistants to provision and manage vendor-independent cloud infrastructure for databases, storage, and media processing through an open source API. | TypeScript | 7 | — |
| FalkorDB Enables natural language querying of graph databases by translating requests into FalkorDB queries for analyzing relationships in knowledge graphs, recommendation systems, and network data. | — | 33 | — |
| Famxplor Integrates with Famxplor's curated database to provide location-based search for family-tested activities worldwide using latitude, longitude, and distance parameters. | — | 1 | — |
| FastBCP High-performance parallel database export to files and cloud storage with safety-first command preview. | Python | 0 | — |
| fastmcp-feedback Production-ready feedback collection system for FastMCP servers | Python | — | — |
| fastmcp-mysql FastMCP server for MySQL database operations | Python | — | — |
| FastMCP SQL Tools SQL database access with support for PostgreSQL, MySQL, and SQLite | Python | 1 | — |
| FastMCP Todo Integrates with MongoDB and MQTT to enable real-time task management, distribution, and updates for collaborative workflows and automation. | — | 9 | — |
| Fast MongoDB Educational FastMCP server exposing MongoDB operations as tools for AI clients. | — | 0 | — |
| FastTransfer High-performance parallel data transfer between heterogeneous database systems with safety-first command preview. | Python | 0 | — |
| Feature Suggestions (Supabase) Connects AI assistants to a Supabase database for querying feature suggestions, enabling direct access to feature request data within conversations without manual database queries. | — | 0 | — |
| Figma MCPxer Remote Figma API integration with HTTP/SSE transport, webhooks, Redis caching, and Docker support. | — | — | — |
| Files-DB Provides a local vector database system for semantic code search with zero-configuration setup, real-time file monitoring, and incremental indexing to help developers navigate large codebases efficiently. | — | 6 | — |
| Firebase Admin SDK Integrates Django applications with Firebase services, providing tools for user authentication, Firestore database operations, and Cloud Storage file management through Firebase Admin SDK capabilities. | — | 1 | — |
| Firebase Firestore Integrates with Firebase Firestore databases for collection and document management including querying, creating, updating, deleting, and counting operations with proper serialization of Firestore data types. | — | 1 | — |
| Firebase Realtime Database Integrates with Firebase Realtime Database using Admin SDK authentication to enable querying documents by field filters, listing collections, and adding new documents for real-time data management workflows. | TypeScript | 1 | — |
| Firebird SQL Enables secure access to Firebird SQL databases through natural language, supporting table listing, schema descriptions, query execution, and field metadata retrieval with comprehensive security features like data masking and operation restrictions. | TypeScript | 48 | — |
| Fireproof JSON Database Integrates Fireproof JSON document databases with the Model Context Protocol, enabling CRUD operations and querying across multiple decentralized databases for scalable data management. | — | 0 | — |
| Fireproof JSON Document Store Fireproof database integration for a flexible JSON document store with CRUD operations. | JavaScript | 31 | — |
| Firestore Server Provide secure, permission-controlled access to Firebase Firestore databases through a standardized MCP interface. Enable AI assistants and other clients to perform full CRUD operations, advanced queries, batch operations, and transactional updates with granular collection and operation-level permissions. Ensure data consistency and security with default deny rules and fine-grained access control. | — | — | — |
| Fitness Coach Provides personalized fitness coaching through workout and nutrition plan generation, activity logging, progress tracking, and feedback collection with a Next.js web interface and Redis integration. | — | 7 | — |
| flapi API Framework heavily relying on the power of DuckDB and DuckDB extensions. Ready to build performant and cost-efficient APIs on top of BigQuery or Snowflake for AI Agents and Data Apps | C++ | 66 | — |
| Flexible GraphRAG Provides semantic document search and knowledge graph capabilities through the Flexible GraphRAG system, integrating multiple database backends for graph storage and vector search while supporting document ingestion, hybrid search, and knowledge extraction from PDFs and Office documents. | Python | 115 | — |