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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.

9,482 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    Enables voice-based interactions with Claude by converting text to speech using Kokoro TTS and transcribing user responses using NVIDIA NeMo ASR, creating interactive voice dialogues.
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    A Model Context Protocol server that enables AI assistants like Claude to initiate and manage real-time voice calls using Twilio and OpenAI's voice models.
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    Enables text-to-speech conversion using Minimax AI's voice synthesis API with automatic upload to Amazon S3. Supports customizable voice settings including model selection, voice ID, and speech speed control.
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    Provides voice recognition and text extraction capabilities with support for both stdio and MCP modes, processing audio files or base64 encoded data and returning structured results with language, emotion, and speaker information.
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    A Model Context Protocol server providing tools for querying A-share stock market data, including historical prices, financial reports, market indices, and macroeconomic indicators.
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    A Model Context Protocol server focused on China's A-share stock market that provides data on stocks, financials, market indices, and macroeconomic indicators.
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    Natural voice conversations for AI assistants that brings human-like voice interactions to Claude, ChatGPT, and other LLMs through the Model Context Protocol (MCP).
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    An MCP-compliant server that enables AI assistants like Claude Desktop to access and analyze Intercom support tickets with full conversation history.
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    Access your Carbon Voice conversations and voice memos—retrieving messages, conversations, voice memos, and more as well as send messages to Carbon Voice users.
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    A server providing text-to-speech and speech-to-text functionalities using Windows' native speech services without external dependencies.
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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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    Connects Claude Code with multiple AI models (Gemini, Grok-3, ChatGPT, DeepSeek) simultaneously, allowing users to get diverse AI perspectives, conduct AI debates, and leverage each model's unique strengths.
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    Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.
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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 starter template for creating MCP servers that work with Puch AI, featuring ready-to-use tools for job searching and image processing. Includes examples for Bearer token authentication, OAuth integration with Google and GitHub, and demonstrates user-scoped data management.
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    Apache 2.0
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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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    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 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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    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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    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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    A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.
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    Enable Claude (or any other LLM) to interactively debug your code (set breakpoints and evaluate expressions in stack frame). It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode.
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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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    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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    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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    A Model Context Protocol (MCP) server that supports STDIO, SSE and Streamable HTTP protocols for AI model interactions.
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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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