すべてのMCPサーバーを閲覧
お気に入りのツールにAIを接続するためのMCPサーバーの完全なコレクションをご覧ください。
Selenium
Automates browser interactions through the Model Context Protocol using Selenium WebDriver.
Ai Development Assistant
Provides intelligent coding assistance through custom AI tools directly within Cursor's Composer.
Linear
Integrates Linear project management with the Model Context Protocol to enable LLM interaction with Linear issues.
Apify Actors
Enables AI applications to use Apify Actors as tools for performing specific tasks like data extraction and web scraping.
Base
Enables onchain interactions for AI applications with tools to interact with the Base Network and Coinbase API.
MemoryMesh
Provides structured memory persistence for AI models via a knowledge graph server utilizing the Model Context Protocol (MCP).
DB
Enables AI assistants to interact with multiple databases simultaneously through a unified interface.
Hermes
Provides a high-performance client implementation for the Model Context Protocol (MCP) in Elixir.
UE5
Integrates AI-driven automation into Blender and Unreal Engine 5 (UE5) workflows for game level creation.
Ast-Grep
Enables code searching in a codebase using ast-grep CLI within an MCP environment.
Azure DevOps
Enables AI assistants to securely interact with Azure DevOps through a standardized protocol.
BloodHound AI
Analyzes Active Directory attack paths using natural language queries via a BloodHound and Model Context Protocol (MCP) integration.
Llm Bridge
Connects Model Context Protocol (MCP) servers to OpenAI-compatible LLMs.
Client Chatbot
Provides a versatile chat interface that supports various AI model providers and integrates external tools via Model Context Protocol.
Eechat
Provides a secure, efficient, and personalized local AI chat application experience.
Interactive
Enables interactive communication between LLMs and users by facilitating prompts, chat, and notifications locally.
PaellaDOC
Provides an AI-first development framework that uses the Model Context Protocol (MCP) to enable Large Language Models (LLMs) to interact with development tools and context.
VS Code Server
Exposes Visual Studio Code editing features to an LLM for AI-assisted coding.
Paws-on
Serves as a comprehensive Model Context Protocol implementation for advanced AI model interaction and data integration.
ABCoder
Enhances coding context for Large Language Models and accelerates the development of AI-assisted programming applications.
Vercel Adapter
Provides an adapter for the Model Context Protocol (MCP), enabling real-time communication between web applications and AI models on frameworks like Next.js.
Stealth Browser
Automate web interactions to bypass advanced anti-bot systems, Cloudflare, and social media blocks for undetectable real-browser automation.
CodeGraphContext
Indexes local code into a graph database to provide context to AI assistants.
QueryWeaver
Transforms natural language questions into SQL queries using graph-powered schema understanding.
Debugger
Provides comprehensive Node.js debugging capabilities using the Chrome DevTools Protocol for full access to breakpoints, stepping, and code inspection.
Argo CD
Enables AI assistants to interact with Argo CD applications and resources through natural language.
CSS
Provides up-to-date CSS documentation from MDN and comprehensive CSS code analysis.
Acemcp
Provides AI assistants with code library indexing and semantic search capabilities through a high-performance Model Context Protocol server.
DecoCMS
Define and compose secure Model Context Protocol (MCP) servers to generate and deploy AI workflows and agents with integrated governance.
Context-Engine
Enhances AI agents and integrated development environments with an open-core, self-improving context compression and code search suite.
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