Model Context Protocol (MCP) Servers: AI Integration Tools
MCP Servers
Explore a comprehensive collection of MCP servers, including reference implementations, third-party integrations, and community-developed solutions for AI and LLM tool development. These servers enhance data retrieval, cloud services integration, and overall AI application performance.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
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Purpose: Retrieval from AWS Knowledge Base
Brave Search
Web and local search using Brave's Search API
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Purpose: Web and local search
EverArt
AI image generation using various models
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Purpose: AI image generation
Everything
Reference / test server with prompts, resources, and tools
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Purpose: Reference and testing
Fetch
Web content fetching and conversion for efficient LLM usage
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Purpose: Web content fetching
Filesystem
Secure file operations with configurable access controls
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Purpose: Secure file operations
Git
Tools to read, search, and manipulate Git repositories
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Purpose: Git repository interaction
GitHub
Repository management, file operations, and GitHub API integration
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Purpose: GitHub API integration
GitLab
GitLab API, enabling project management
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Purpose: GitLab API project management
Google Drive
File access and search capabilities for Google Drive
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Purpose: Google Drive integration
Google Maps
Location services, directions, and place details
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Purpose: Google Maps integration
Memory
Knowledge graph-based persistent memory system
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Purpose: Knowledge graph memory
PostgreSQL
Read-only database access with schema inspection
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Purpose: PostgreSQL database access
Sentry
Retrieving and analyzing issues from Sentry.io
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Purpose: Sentry.io integration
MCP Clients
Discover MCP clients that harness the power of AI integration, enabling seamless interaction with various MCP servers and enhancing your AI-powered applications. These clients support natural language processing, machine learning, and advanced artificial intelligence features for improved user experiences.
5ire
A cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers.
Language: TypeScript
Purpose: AI assistant with MCP client capabilities
ChatMCP
ChatMCP is an AI chat client implementing the Model Context Protocol (MCP).
Language: Dart
Purpose: AI chat client with MCP implementation
Claude Desktop
The Claude desktop app brings Claude's capabilities directly to your computer, allowing for seamless integration with your workflow.
Language: -
Purpose: Desktop client for Claude AI
ClaudeMind
Experience Claude AI without limits. Use our desktop app for everyday AI assistance, or boost your coding productivity with our JetBrains plugin.
Language: -
Purpose: Desktop client and JetBrains plugin for Claude AI
Cline
Cline can handle complex software development tasks step-by-step. With tools that let him create & edit files, explore large projects, use the browser, and execute terminal commands.
Language: TypeScript
Purpose: VSCode extension for AI-assisted development
console-chat-gpt
Enjoy seamless interactions with ChatGPT, MistralAI, Claude by Anthropic, Grok by xAI, Gemini by Google and DeepSeek directly from your command line.
Language: Python
Purpose: Command line interface for AI models
Cursor
Cursor is an AI-first code editor fork of VS Code that helps you code faster with built-in chat, edit, and debugging AI features. It supports MCP for enhanced AI capabilities and tool integration.
Language: TypeScript
Purpose: AI-first code editor with MCP support
Continue
Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains.
Language: TypeScript
Purpose: Open-source AI code assistant for IDEs
Goose
Goose is a general-purpose AI agent that can dynamically plug into new extensions and learn how to use them.
Language: Rust
Purpose: General-purpose AI agent with extension capabilities
HyperChat
HyperChat is an open Chat client that can use various LLM APIs to provide the best Chat experience and implement productivity tools through the MCP protocol.
Language: JavaScript
Purpose: Chat client supporting multiple LLM APIs with MCP
kibitz
kibitiz is the free and open-source Replit. Minimally, it is a lightweight chat interface to the popular LLM APIs.
Language: TypeScript
Purpose: Lightweight chat interface for LLM APIs
LibreChat
Enhanced ChatGPT Clone: Features Agents, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting.
Language: TypeScript
Purpose: Self-hosted ChatGPT alternative with multiple AI models support
MCP Chatbot
This chatbot example demonstrates how to integrate the Model Context Protocol (MCP) into a simple CLI chatbot.
Language: Python
Purpose: CLI chatbot with MCP integration
MCP CLI client
A simple CLI to run LLM prompt and implement MCP client.
Language: Python
Purpose: Command line interface for MCP
oterm
A terminal client for Ollama, with support for MCP servers.
Language: Python
Purpose: Terminal client for Ollama with MCP support