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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.

7,737 servers. Last updated -

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    A server that allows LLMs to run Claude Code with all permissions bypassed automatically, enabling code execution and file editing without permission interruptions.
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    An enhanced Model Context Protocol (MCP) server that allows running Claude Code in one-shot mode with permissions bypassed automatically, featuring advanced task
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    This project aims to build a Claude Code MCP server and implement its associated tools (explain\_code, review\_code, fix\_code, edit\_code, test\_code, simulate\_command, your\_own\_query). The server is implemented using Node.js and the MCP SDK. It receives tool requests from clients via Stdio, dynamically
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    A Model Context Protocol server that combines DeepSeek R1's reasoning capabilities with Claude 3.5 Sonnet's response generation, enabling two-stage AI processing where DeepSeek's structured reasoning enhances Claude's final outputs.
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    An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
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    Facilitates two-stage reasoning processes using DeepSeek for detailed analysis and supports multiple response models such as Claude 3.5 Sonnet and OpenRouter, maintaining conversation context and enhancing AI-driven interactions.
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    Pairs Claude Code with Google's Gemini AI for complementary code analysis, enabling intelligent routing where Claude handles local-context operations while Gemini leverages its 1M token context for distributed system debugging and long-trace analysis.
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    A design orchestrator that brings Superdesign capabilities to Claude Code as native tools, enabling AI-powered UI design, wireframing, component creation, and logo/icon generation without requiring Anthropic API keys.
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    Connects Claude Code with Google's Gemini AI, allowing users to ask Gemini questions, get code reviews, and brainstorm ideas directly within Claude Code.
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    Enables running multiple Claude prompts simultaneously in parallel with support for file contexts and output redirection to individual files.
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    An MCP server that provides code review functionality using OpenAI, Google, and Anthropic models, serving as a "second opinion" tool that works with any MCP client.
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    MCP server that lets you search your Claude Code conversation history to find past solutions, track file changes, and learn from previous work.
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    A Model Context Protocol server that helps large language models process code repositories by providing file tree generation, code merging, and code analysis capabilities.
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    An MCP server that implements Claude Code-like functionality, allowing the AI to analyze codebases, modify files, execute commands, and manage projects through direct file system interactions.
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    Connects Claude Code with multiple AI models (Gemini, Grok-3, ChatGPT, DeepSeek) simultaneously, allowing users to get diverse AI perspectives, conduct AI debates, and leverage each model's unique strengths.
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    Provides Zig language tooling and code analysis, enhancing AI capabilities with Zig-specific functions like code optimization, compute unit estimation, code generation, and recommendations for best practices.
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    An MCP server that supercharges AI assistants with powerful tools for software development, enabling research, planning, code generation, and project scaffolding through natural language interaction.
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    A server that enables Claude Desktop users to access the Claude API directly, allowing them to bypass Professional Plan limitations and use advanced features like custom system prompts and conversation management.
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    Enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine for intricate multi-step reasoning tasks with precision and efficiency.
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    Allows LLMs to execute Python code in a specified Conda environment, enabling access to necessary libraries and dependencies for efficient code execution.
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    A Model Context Protocol server that enables AI assistants to communicate with each other using Inter-Process Communication, featuring natural language commands and cross-platform compatibility.
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    A secure Model Context Protocol server that allows AI assistants and LLM applications to safely execute Python and JavaScript code snippets in containerized environments.
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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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    A lightweight, configurable server that fetches coding guidelines, security rules, and validation patterns from external sources to help development teams maintain code quality standards in WordPress projects.
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    Analyzes codebases using Repomix and LLMs to provide structured code reviews with specific issues and recommendations, supporting multiple LLM providers including OpenAI, Anthropic, and Gemini.
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    A TypeScript-based Model Context Protocol server that enables large language models to directly invoke Alibaba Cloud's Tongyi Wanxiang text-to-image generation API.
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    Enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine, allowing Claude to tackle complex multi-step reasoning tasks with greater precision.
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    Allows Claude to execute terminal commands on your computer and perform file system operations including surgical code editing with diff-based replacements.
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    An MCP server that enables AI applications to access 20+ model providers (including OpenAI, Anthropic, Google) through a unified interface for text and image generation.
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