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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

10,428 servers. Last updated -

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Matching MCP servers:

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    A simple AI development tool that helps users interact with AI through natural language commands, offering 29 tools across thinking, memory, browser, code quality, planning, and time management capabilities.
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    Enables translation of JSON i18n files to multiple languages using various AI providers (Google Gemini, OpenAI, Ollama/DeepSeek) with intelligent caching and deduplication.
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    Enables AI-powered interaction with Metabase instances and PostgreSQL databases through natural language. Creates models, SQL queries, metrics, and dashboards using both Metabase API and direct database connections.
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    Enables intelligent Kubernetes deployments, automated documentation testing, organizational pattern management, and shared prompt libraries. Provides AI-powered recommendations based on cluster capabilities and automates DevOps workflows through conversational interfaces.
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    Integrates Claude Desktop with Azure AI Search, allowing users to query search indexes using keyword, vector, or hybrid search methods.
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    Persistent memory and pattern learning for AI coding assistants via MCP.
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    Provides unified access to 100+ AI models from OpenAI, Anthropic, Google, AWS Bedrock and other providers through a single MCP interface. Enables seamless switching between different AI models using LiteLM's unified API without requiring separate integrations for each provider.
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    Enables AI assistants to intelligently select and switch between different AI models (OpenAI, Anthropic, etc.) within the same conversation based on task requirements. Provides a unified interface for accessing multiple AI providers through a single MCP tool.
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    An open-source MCP server that tracks premier global AI information from sources like X and podcasts, enabling users to access relevant AI updates in their daily LLM conversations without searching multiple channels.
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    Intelligent routing service that selects optimal AI models based on capability requirements and normalizes input/output formats across multiple providers like OpenAI, Anthropic, Google, and others.
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    A secure Model Context Protocol server that enables Claude Code to connect with OpenAI and Google Gemini models, allowing users to query multiple AI providers through a standardized interface.
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    Enables AI agents to store, retrieve, and manage contextual knowledge across sessions using semantic search with PostgreSQL and vector embeddings. Supports memory relationships, clustering, multi-agent isolation, and intelligent caching for persistent conversational context.
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    Enables searching for AI agents by keywords or categories, allowing users to discover tools like coding agents, GUI agents, or industry-specific assistants across marketplaces.
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    Enables AI agents to consult with multiple AI models (GPT, Gemini, Grok, etc.) through OpenRouter with intelligent auto-selection, conversation history, and caching. Allows your AI assistant to seek expert opinions from specialized models for different tasks like coding, analysis, or general questions.
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    Intelligent AI routing and integration platform for seamless provider switching
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    Apache 2.0
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    Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
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    An advanced system monitoring solution that uses unsupervised machine learning algorithms to detect abnormal resource usage patterns in real-time, with features including anomaly detection, process analysis, and Discord integration.
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    MCP server that enables AI assistants to perform SEO automation tasks including keyword research, SERP analysis, and competitor analysis through Google Ads API integration.
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    Provides SEO automation with tools for keyword research, SERP analysis, and competitor analysis through Google Ads API integration, enabling AI assistants to access these capabilities via MCP.
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    A Model Context Protocol server that integrates with ServiceNow instances, allowing users to utilize AI tools within ServiceNow without writing code.
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    An MCP server that provides access to Jina AI's powerful web services (page reading, web search, fact checking) through Claude.
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    • Apple
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    A Model Context Protocol server implementation that provides a standardized interface for interacting with Smallest.ai's knowledge base management system.
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    Enables AI assistants to automatically log and manage conversation history with developers in structured markdown format. Provides powerful search and context suggestions to help AI understand project history and maintain continuity across sessions.
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    Allows users to integrate their custom Quickchat AI Agents into various AI applications (Claude Desktop, Cursor, VS Code, etc.) through the Model Context Protocol, enabling AI-to-AI interactions.
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    A Model Context Protocol implementation for managing and serving AI prompts with a TypeScript-based architecture in a monorepo structure.
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    Model Context Protocol server that enables AI assistants to perform keyword research, SEO analysis, and content planning through natural language queries against kwrds.ai's SEO tools.
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    A Model Context Protocol (MCP) server that supports STDIO, SSE and Streamable HTTP protocols for AI model interactions.
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    Enables dynamic creation and orchestration of hierarchical AI agent teams with role-based personas and domain knowledge injection. Supports multi-agent collaboration, session management, and complex task execution through structured team workflows.
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    An MCP server that enables AI agents to interact with Extend's spend management APIs, allowing virtual card management, transaction tracking, and receipt processing through natural language.
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    • Apple