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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.

9,058 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    Unreal-Blender MCP is a unified server for controlling both Blender and Unreal Engine via AI agents using the MCP (Machine Control Protocol) approach.
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    A server that integrates Blender with local AI models via the Model Context Protocol, allowing users to control Blender using natural language prompts for 3D modeling tasks.
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    A Model Context Protocol server that allows management and execution of Blender Python scripts, enabling users to create, edit and run scripts in a headless Blender environment through natural language interfaces.
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    Enables Claude AI to directly interact with and control Blender for rapid, natural language-based 3D modeling. Supports parametric design and relational design through direct Blender integration.
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    A lightweight HTTP server that exposes Blender's camera system for real-time image capture and scene interaction from external applications.
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    Connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender for AI-assisted 3D modeling, scene manipulation, and rendering.
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    Connects Blender to Claude AI through the Model Context Protocol (MCP), enabling prompt-assisted 3D modeling, scene creation, and manipulation.
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    Provides an interface between AI assistants and Tripo AI via Model Context Protocol, enabling generation of 3D assets from natural language and importing them to Blender.
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    A Model Context Protocol server that integrates Claude with Blender, enabling users to analyze and interact with IFC (Industry Foundation Classes) building models through natural language commands.
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    Connects creative applications like Blender and Adobe Creative Suite to AI models through the Model Context Protocol, enabling AI-driven creation, manipulation, and automation within these tools.
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    Connects Blender to Claude AI through the Model Context Protocol (MCP), enabling prompt-assisted 3D modeling, scene creation, and manipulation directly from Claude.
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    A demonstration MCP server that provides basic utility tools including hello world functionality and string reversal operations. Shows how to build and deploy MCP tools using the MCPO orchestrator framework.
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    GPL 3.0
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    A bridge server that connects Agent Communication Protocol (ACP) agents with Model Context Protocol (MCP) clients, enabling seamless integration between ACP-based AI agents and MCP-compatible tools like Claude Desktop.
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    Connects Blender to Claude AI through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, and manipulation through natural language commands.
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    An MCP server that creates a virtual traveling environment on Google Maps, allowing users to guide an avatar on journeys with photo reports and SNS integration.
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    Enables AI assistants to interact with and manage Google Cloud Platform resources including Compute Engine, Cloud Run, Storage, BigQuery, and other GCP services through a standardized MCP interface.
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    A Model Context Protocol server that provides Google Maps API integration, allowing users to search locations, get place details, geocode addresses, calculate distances, obtain directions, and retrieve elevation data through LLM processing capabilities.
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    Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.
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    A Model Context Protocol server that enables AI assistants like Claude to interact with Google Cloud Platform environments through natural language, allowing users to query and manage GCP resources during conversations.
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    Enables managing Google Cloud Platform resources through natural language commands in Claude Desktop, supporting comprehensive operations across compute, storage, databases, networking, monitoring, and IAM without manual credential setup.
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    Enables AI assistants to interact with Google Cloud Platform resources through natural language queries. Supports querying and managing GCP services like Compute Engine, Cloud Storage, BigQuery, and more across multiple projects and regions.
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    Enables AI assistants to interact with Google Cloud Platform services for log analysis and root cause investigation. Provides tools to query Cloud Logging, detect error patterns, and perform real-time log streaming across multiple GCP projects.
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    Enables secure file transfer operations with remote Linux and Windows systems via SCP/SFTP protocols. Supports uploading, downloading, listing, and managing files on remote servers through SSH authentication.
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    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
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    Apache 2.0
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    An enterprise-level MCP gateway and proxy that sits between an organization's MCP servers and clients. MCP Manager mitigates security threats, enables fine-grained permissions, enforces policies and guardrails, and generates comprehensive, end-to-end logs.
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    An intelligent MCP server that enables seamless restarting of Claude's MCP handler process without disrupting the UI, allowing for plugin reloading without closing the entire Claude Desktop application.
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    MCP server that interfaces with the Adjust API, allowing you to query mobile analytics reports, metrics, and performance data using natural language from any MCP client like Cursor or Claude Desktop.
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    A CLI tool that integrates with Claude Desktop to allow users to retrieve their Goodreads library data through MCP.
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    An MCP server that enables AI assistants to book and manage Uber rides, including getting price estimates, requesting rides, checking ride status, and canceling rides.
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    Allows AI to interact with Autodesk Revit via the MCP protocol, enabling retrieval of project data and automation of tasks like creating, modifying, and deleting elements.
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