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。
Enables LLMs to inspect MySQL database schemas and execute read-only queries.
Connects to the Perplexity API, enabling real-time, web-wide search within the Model Context Protocol ecosystem.
Connects Language Servers to Model Context Protocol (MCP) clients, providing advanced code analysis and manipulation capabilities to LLMs.
Enables Claude Desktop to directly implement features, fix bugs, and refactor codebases on your computer, eliminating the need to copy code into chat windows.
Install other MCP servers via Claude by specifying their npm or PyPi package names or local paths.
Enables AI assistants to interact with the Unity Editor for game development workflows.
Enables creating, editing, and manipulating PowerPoint presentations through the Model Context Protocol.
Enables AI assistants to interact with and manage n8n workflows through natural language.
Connect any AI agent to Solana protocols for autonomous interaction with web3 functionalities.
Facilitates communication with MCP servers by providing a LangGraph agent and a CopilotKit-powered frontend.
Enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).
Provides a command-line interface for interacting with Model Context Protocol (MCP) servers using stdio and HTTP transport.
Connects Slack workspaces to Model Context Protocol (MCP) for enhanced integration with AI models.
Empowers RSS with AI to automatically filter, summarize, and deliver important information, reducing information overload.
Orchestrates components within a lightweight, high-performance rule engine framework for Go applications.
Scans Model Context Protocol (MCP) servers for common security vulnerabilities like prompt injections and tool poisoning.
Enables interaction with LinkedIn through AI assistants, allowing users to scrape profiles, companies, and jobs.
Augment Large Language Models with advanced agent techniques for enhanced reasoning, memory, and intelligent decision-making.
Offers a comprehensive production toolkit for large language models, providing observability, prompt management, and evaluation capabilities to enhance LLM development.
Provides a modular and extensible Python framework for building and managing Auto-GPT agents.
Provides scalable, fast, and disk-friendly vector search capabilities directly within PostgreSQL.
Enables AI assistants to access and search official Microsoft documentation in real-time.
Provides a Model Context Protocol (MCP) server for managing Kubernetes and OpenShift resources.
Integrates Azure DevOps capabilities directly into development environments by providing a local server that enables interaction with various services.
Unify access to diverse data sources, from files and databases to popular applications, by querying them with SQL and integrating with large language models.
Enhance LaTeX academic papers with an AI-powered writing assistant offering intelligent suggestions and seamless Overleaf integration.
Optimizes AI agent interaction with codebases by enabling structured retrieval and significantly reducing token usage through precise AST parsing.
Integrates over 300 tools from 39 public Brazilian APIs, enabling AI agents to access government data across various sectors like economy, legislature, and transparency.
Integrates 39 Korean legal APIs into 14 streamlined tools for AI-powered search, retrieval, and analysis of laws, precedents, ordinances, and treaties.
Extract any website's complete design system with one command, including layout patterns, responsive behavior, and interaction states.
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