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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.

9,457 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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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 that enables secure terminal command execution, directory navigation, and file system operations through a standardized interface for LLMs.
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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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    Apache 2.0
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    A secure and pluggable MCP server to run terminal commands on your local machine or cloud server — remotely, safely, and with LLMs or agentic clients.
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    Enables browser automation for LLMs on Linux display servers, supporting web interaction, screenshots, and JavaScript execution in a real browser.
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    A secure server for executing terminal commands within predefined paths, allowing safe interaction by Large Language Models with operating system environments.
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    An MCP server that enables interaction with Safe (formerly Gnosis Safe) smart contract wallets, allowing users to query transactions, get multisig details, and decode transaction data through natural language.
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    An MCP server to run commands.
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    A server that enables AI assistants to execute terminal commands and retrieve outputs via the Model Context Protocol (MCP).
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    A unified remote terminal management server that simplifies complex SSH connections and server management through MCP protocol, allowing users to control multiple remote servers with natural language commands as easily as local operations.
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    A secure terminal execution server that enables controlled command execution with security features and resource limits via the Model Context Protocol (MCP).
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    An MCP server that allows AI assistants like Claude to execute terminal commands on the user's computer and return the output, functioning like a terminal through AI.
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    Enables AI assistants to execute predefined developer commands and manage long-running processes through a JSON configuration file. Supports both one-shot commands and daemon processes with automatic process lifecycle management.
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    An MCP server that allows AI models to execute system commands on local machines or remote hosts via SSH, supporting persistent sessions and environment variables.
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    Enables AI agents to interact with terminal-based TUI applications by capturing visual terminal output as PNG screenshots and simulating keyboard input through a virtual X11 display.
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    Exposes Dify applications (both Chatflow and Workflow) as MCP (Model Context Protocol) servers, allowing Claude and other MCP clients to directly interact with Dify apps through a standardized protocol.
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    A lightweight FastAPI server that allows remote execution of shell commands on Windows, with real-time output streaming and security features like API key authentication and rate limiting.
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    A Model Context Protocol server that enables clients to interact with a system terminal running in an Electron application, allowing for executing commands, managing terminal sessions, and retrieving output programmatically.
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    Allows AI assistants to seamlessly interact with Terminal.shop to browse products, manage shopping carts, place orders, and handle subscriptions through Terminal.shop's API.
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    Connects AI systems to Local Falcon API, enabling access to local SEO reporting tools including scan reports, trend analysis, keyword tracking, and competitor data through the Model Context Protocol.
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    Create sandboxed local development environments directly from Github and execute tests, see coverage and more! Supports Python, Node, Bun and many test runners.
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    Connects to Kakao Local API and Kakao Maps, enabling access to location-based services and map functionality in Korea.
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    A Model Context Protocol (MCP) server that enables AI applications to access and analyze local code repositories without manual uploads, providing file listing, content reading, code searching, and project structure analysis capabilities.
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    A Multi-Agent Conversation Protocol Server that provides access to Google's Local Services API, enabling interaction with local service businesses information through natural language commands.
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    Provides semantic code search capabilities that run 100% locally using EmbeddingGemma embeddings. Enables finding code by meaning across 15 file extensions and 9+ programming languages without API costs or sending code to the cloud.
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    Enables direct interaction with local WordPress development sites through Local by Flywheel database connections. Provides read-only access to WordPress data including posts, users, options, and custom queries for development and analysis.
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    Enables AI assistants to access and interact with Cursor/VS Code Local History data for file recovery and enhanced context awareness. Provides tools to browse file history, search across snapshots, and restore previous versions of files.
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    Provides persistent local memory functionality for AI assistants, enabling them to store, retrieve, and search contextual information across conversations with SQLite-based full-text search. All data stays private on your machine while dramatically improving context retention and personalized assistance.
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    "primitive" RAG-like web search model context protocol server that runs locally. ✨ no APIs ✨
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    A Model Context Protocol server that allows AI assistants to discover, load, and process local documents on Windows systems, with support for multiple file formats and OCR capabilities for scanned PDFs.
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    Enables execution of shell commands through a terminal tool with working directory support and timeout protection. Also provides access to MCP documentation as a resource.
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    A Model Context Protocol (MCP) server that allows AI models to safely access and interact with local file systems, enabling reading file contents, listing directories, and retrieving file metadata.
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    • Linux