Open-Source MCP servers

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

4,703 servers. Last updated -

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    Deep directory tree visualization tool enabling efficient visualization of complex directory structures with AI-powered analysis capabilities.
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    A Model Context Protocol server that provides token-aware directory exploration and file analysis for Large Language Models, enabling intelligent codebase navigation with features like directory scanning, file content extraction, and token usage statistics.
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    A Model Context Protocol server that enhances language models with protein structure analysis capabilities, enabling detailed active site analysis and disease-related protein searches through established protein databases.
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    A Model Context Protocol server that enables AI assistants to interact with the Deriv trading API, providing access to active trading symbols and account balance information.
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    An extension that allows Large Language Models to interact with and analyze Active Directory environments through natural language queries instead of manual Cypher queries.
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    A Model Context Protocol server that enables enhanced file system operations including reading, writing, copying, moving files with streaming capabilities, directory management, file watching, and change tracking.
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    A Node.js server that allows browsing Git repositories through MCP, providing tools to view directory structures and read important files from repositories.
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    An MCP server that enables secure terminal command execution, directory navigation, and file system operations through a standardized interface for LLMs.
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    A Model Context Protocol server that allows LLMs to interact with Python environments, execute code, and manage files within a specified working directory.
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    A Model Context Protocol server that connects to Microsoft Graph API, allowing AI assistants to query and access data from Microsoft Entra ID (formerly Azure Active Directory).
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    Enables browser automation with Puppeteer, supporting navigation, form interactions, and connection to active Chrome instances for comprehensive web page interaction.
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    Provides code context and analysis for AI assistants by extracting directory structures and code symbols using WebAssembly Tree-sitter parsers with zero native dependencies.
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    Enables AI assistants to maintain persistent project context across sessions by storing and retrieving structured information in markdown files organized in a memory bank directory.
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    BloodHound-MCP-AI is integration that connects BloodHound with AI through Model Context Protocol, allowing security professionals to analyze Active Directory attack paths using natural language instead of complex Cypher queries.
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    Generates a JSON file tree from a specified directory's 'src' folder, adhering to '.gitignore' rules, allowing for quick project structure review in Claude.
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    Bridges Claude AI with Xcode, enabling AI-powered code assistance, project management, and automated development tasks securely on your local machine.
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    Enables Claude to interact with FTP servers through natural language commands, allowing users to list directories, download/upload files, create directories, and delete files/directories on FTP servers.
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    This server implements the Model Context Protocol to facilitate meaningful interaction and understanding development between humans and AI through structured tools and progressive interaction patterns.
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    A Model Context Protocol server that provides current weather forecasts for specific locations and active weather alerts for US states.
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    A Model Context Protocol server that provides tools for code modification and generation via Large Language Models, allowing users to create, modify, rewrite, and delete files using structured XML instructions.
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    AiDD MCP Server provides a secure interface for AI agents to perform file system operations and code analysis, enhancing AI-assisted development workflows across multiple programming languages.
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    Memory Bank Server provides a set of tools and resources for AI assistants to interact with Memory Banks. Memory Banks are structured repositories of information that help maintain context and track progress across multiple sessions.
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    Memory bank with Server as SSH support for central knowledge base
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    A Pyodide server for executing Python code by Large Language Models (LLMs) via the Model Context Protocol (MCP).
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    An MCP server that enables users to download webpages as markdown files using r.jina.ai service, with features for configurable download directories and automatic date-stamped filenames.
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    Model Context Protocol server for YDB databases that enables AI-powered database operations and natural language interactions with YDB instances from any LLM that supports MCP.
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    This MCP server enables users to execute shell commands in the current iTerm2 session through integration with Claude Desktop, facilitating seamless command execution via the Model Context Protocol.
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    Enables AI models to interact with HubSpot CRM data and operations through a standardized interface while providing a centralized shared space for teams to share conversation summaries in real time.
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    A Model Context Protocol server that enables integration with JIRA, allowing users to interact with JIRA tasks and issues through Claude AI assistant.
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    Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test.
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    A MCP server that enables human-in-the-loop workflow in AI-assisted development tools by allowing users to run commands, view their output, and provide textual feedback directly to the AI assistant.
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    Helps AI read GitHub repository structure and important files. Want to quickly understand what a repo is about? Prompt it with "read https://github.com/adhikasp/mcp-git-ingest and determine how the code technically works".
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