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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 simple server for testing Model Context Protocol (MCP) that serves CSV and image resources, allowing developers to test MCP implementations with sample data via SSE transport.
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    A comprehensive server that integrates mobile testing frameworks with JIRA, generating BDD test scenarios and framework-compatible test scripts automatically.
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    api-test-mcp
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    A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
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    Apache 2.0
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    A lightweight MCP test server for verifying client connectivity, providing tools, resources, and prompts for integration.
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    Simple Snowflake MCP Server to work behind a corporate proxy.
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    A foundation for creating custom Model Context Protocol servers that can integrate with AI systems, providing a simple BMI calculator tool as an example implementation.
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    A minimal MCP server that allows executing SQL queries on PostgreSQL databases with configurable read-only or write permissions.
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    Simple MCP Runner makes it effortless to safely expose system commands to language models via a lightweight MCP server—all configurable with a clean, minimal YAML file and zero boilerplate.
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    A very simple vector store that provides capability to watch a list of directories, and automatically index all the markdown, html and text files in the directory to a vector store to enhance context.
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    sl-test
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    A simple MCP server for interacting with OpenAI assistants. This server allows other tools (like Claude Desktop) to create and interact with OpenAI assistants through the Model Context Protocol.
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    A Model Context Protocol server that enables LLMs to interact with VS Code's Simple Browser, allowing for browser control, JavaScript execution, console monitoring, and navigation through natural language.
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    An MCP server that enforces unit testing standards by linting code and guiding agentic coding tools (like Gemini CLI or Claude Code) to follow best practices in test-driven development.
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    An MCP server that allows checking local time on the client machine or current UTC time from an NTP server
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    A Python-based Model Context Protocol server that integrates local AI models for managing data with features like CRUD operations, similarity search, and text analysis.
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    Enables comprehensive analysis of JavaScript/TypeScript project testing setups by detecting frameworks like Jest, Vitest, and Cypress, analyzing test coverage metrics, and generating actionable recommendations for improving test quality. Provides detailed insights into test structure, dependencies, and coverage thresholds with visual feedback.
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    An MCP server that provides interval timing functionality using token-based time tracking, allowing users to start timers with unique identifiers and check elapsed time in milliseconds or human-readable format.
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    Apache 2.0
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    Enables automatic generation of test scenarios from user stories uploaded to Claude desktop. Leverages MCP integration to streamline the test case creation process for development workflows.
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