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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.

6,853 servers. Last updated -

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Matching MCP servers:

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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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    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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    A Model Context Protocol server that allows LLMs to interact with Python environments, enabling code execution, file operations, package management, and development workflows.
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    A powerful Model Context Protocol (MCP) server for Docker operations, enabling seamless container and compose stack management through Claude AI.
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    A Model Context Protocol server that extracts embedded data (such as i18n translations or key/value configurations) from TypeScript/JavaScript source code into structured JSON configuration files.
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    MIT License
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    A server that provides a persistent Python REPL environment through the MCP protocol, allowing execution of Python code, variable management, and package installation.
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    MIT License

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    A Model Context Protocol server that allows AI assistants to search for and retrieve information about OpenTofu providers, modules, resources, and data sources from the OpenTofu Registry.
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    An MCP server that enables users to fetch Python documentation using the Brave Search API through natural language queries.
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    Apache 2.0
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    A standalone Model Context Protocol service that connects MasterGo design tools with AI models, enabling AI models to directly retrieve DSL data from MasterGo design files.
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    Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.
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    A Model Context Protocol server that allows execution of Python code within Daytona workspaces, providing a secure and isolated environment for executing and managing Python scripts.
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    Apache 2.0
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    Facilitates running Python code in a sandbox and generating images using the FLUX model via an MCP server compatible with clients like Goose and the Claude Desktop App.
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    An MCP server for fetching and transforming web content into various formats.
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    A Python-based MCP server that enables AI-assisted log file analysis with features for filtering, parsing, and interpreting log outputs, plus executing and analyzing test runs with varying verbosity levels.
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    A TypeScript server implementing the Model Context Protocol that provides secure code execution in isolated Docker containers, allowing LLM applications to safely run Python, Go, or JavaScript code snippets.
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    Connects AI models to the Terraform Registry via MCP, enabling provider lookups, resource usage examples, and module recommendations for streamlined Terraform workflows.
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    A Model Context Protocol server that enables Docker container management through natural language interactions using a custom GPT interface.
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    A Model Context Protocol (MCP) server that enables AI assistants to perform comprehensive file operations including finding, reading, writing, editing, searching, moving, and copying files with security validations.
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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 interactive Python code execution environment that allows users and LLMs to safely execute Python code and install packages in isolated Docker containers.
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    Apache 2.0
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    A MCP server for querying the VirusTotal API. This server provides tools for scanning URLs, analyzing file hashes, and retrieving IP address reports.
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    A Model Context Protocol server for interacting with the Figma API that handles large Figma files efficiently through memory-aware chunking and pagination capabilities.
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    A FastMCP-based server that provides data analysis tools for processing, analyzing, and visualizing data with an intuitive Streamlit web interface.
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    Enables searching for files by name fragments via JSON-RPC or an HTTP REST API, with options for direct use or integration with other tools like VS Code.
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    A Python-based server that enables accessing and analyzing bird detection data through the Model Context Protocol, offering features like filtering detections, accessing audio recordings, and generating reports.
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    Provides integration with Twelve Data API to access financial market data including historical time series, real-time quotes, and instrument metadata for stocks, forex pairs, and cryptocurrencies.
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    Enables seamless reading, writing, and analyzing of Excel files through Model Context Protocol, with features for worksheet management, structure analysis, and automated caching.
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