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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.

9,443 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    A Model Context Protocol (MCP) server for Storybook.
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    A Model Context Protocol server that integrates with Storybook to help AI tools query UI components and retrieve usage examples from static Storybook files.
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    Help agents automatically write and test stories for your UI components.
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    Enables LLM agents to execute arbitrary Python code in secure, isolated sandbox environments with automatic dependency management and file handling. Each code execution runs in a fresh virtual environment that gets destroyed after completion, providing safe and reproducible Python code execution.
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    AI-powered assistant that connects Claude to video encoding workflows, translating cryptic errors into plain English and providing actionable solutions for troubleshooting encoding jobs.
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    PRIMS is a lightweight, open-source Model Context Protocol (MCP) server that lets LLM agents safely execute arbitrary Python code in a secure, throw-away sandbox.
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    MIT License

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    Stdio MCP Server wrapping custom Python runtime (LocalPythonExecutor) from Hugging Faces' smolagents framework. The runtime combines the ease of setup (compared to docker, VM, cloud runtimes) while providing safeguards and limiting operations/imports that are allowed inside the runtime.
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    An MCP server implementation that helps Claude remember and learn from programming errors by storing, retrieving, and finding similar errors with full context.
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    🍎 Build iOS Xcode workspace/project and feed back errors to llm.
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    MCP server for management and troubleshooting of certificates and other resources managed by kubernetes cert-manager.
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    Server that enables AI assistants to interact with Storybook design systems. Extract component HTML, analyze styles, and help with design system adoption and refactoring.
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    Enables Claude to integrate with Altary error management service for retrieving, analyzing, and completing errors directly within the IDE. Supports project management, AI-powered error analysis, and automated completion of similar errors through similarity detection.
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    Helps support engineers find similar GitHub issues to speed up troubleshooting by searching repositories and calculating similarity scores based on issue descriptions.
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    An MCP server that enables users to retrieve information from AWS Knowledge Bases using RAG (Retrieval-Augmented Generation) via Bedrock Agent Runtime.
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    GenAIScript is a JavaScript runtime dedicated to build relaible, automatable LLM scripts. Every GenAIScript can be exposed as a MCP server automatically.
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    Provides AI assistants with direct access to Wireshark network analysis capabilities, enabling AI-powered network troubleshooting, packet analysis, and network monitoring through a secure interface.
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    Allows external tools (VSCode, Claude Code, etc.) to access log output and errors, execute commands asynchronously, and monitor process status.
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    A Model Context Protocol (MCP) server for running Genesis World simulations with integrated visualization support, using stdio transport to enable local runtime visualization features.
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    Enables interaction with Dropbox through the Model Context Protocol, providing tools for file management, uploads, downloads, deletion, and token updates with secure runtime authentication.
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    Integrates Honeybadger error tracking with Cursor IDE, allowing developers to fetch, analyze, and troubleshoot application errors directly from their development environment.
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    A Model Context Protocol server that provides network packet capture and analysis capabilities through Wireshark/tshark integration, enabling AI assistants to perform network security analysis and troubleshooting.
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    Enables creation, management, and templating of prompts through a simplified SOLID architecture, allowing users to organize prompts by category and fill in templates at runtime.
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    Enables real-time communication between client and server using Server-Sent Events (SSE) for the Model Context Protocol, specifically built for the Bun JavaScript runtime.
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    Dynamically generates MCP tools from Swagger/OpenAPI specifications by extracting swagger.json files at runtime. Enables natural language interaction with any REST API that has Swagger documentation.
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    A Model Context Protocol server that provides access to Observe API functionality, enabling LLMs to execute OPAL queries, manage datasets/monitors, and leverage vector search for documentation and troubleshooting runbooks.
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    Provides AI-powered assistance for coding problems using Google's Gemini AI, combined with Perplexity insights and Stack Overflow references, facilitating contextual analysis and automatic response archiving for improved troubleshooting.
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    An AI-powered server that analyzes system log files to identify errors/warnings and recommend fixes using FastMCP, LangGraph ReAct agents, and Anthropic Claude.
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    A bridge between Unity and AI assistants that enables AI to interact with Unity game environments through a standardized interface for code execution, scene analysis, and runtime debugging.
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    Enables AI assistants to interact with Raworc's agent runtime platform through seamless integration. Supports session management, message handling, space and agent management, and secure secret storage operations.
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    Enables interaction with the Observe platform through OPAL query execution, worksheet data export, dataset management, and monitor operations. Provides AI-powered troubleshooting assistance through vector search across documentation and specialized runbooks.
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    An MCP server that provides natural language interaction with Google's Policy Troubleshooter API, allowing users to troubleshoot access denied errors and analyze IAM policies.
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