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。
Manages Cloudflare resources using natural language commands via the Model Context Protocol (MCP).
Enables AI assistants like Claude to perform web searches using the Exa AI Search API.
Enables Excel file manipulation capabilities without requiring Microsoft Excel installation.
Defines, prompts, and tests MCP-enabled agents and workflows.
Provides a quick start guide for programming with the Model Context Protocol (MCP) in Chinese.
Enables scalable mobile automation through a platform-agnostic interface for interacting with native iOS/Android applications and devices.
Implements a Model Context Protocol (MCP) server for the Notion API, enabling AI-driven interaction with Notion content.
Provides access to large language and vision-language models based on linear attention for various natural language and multimodal tasks.
Maintains a curated list of Model Context Protocol (MCP) servers.
Automates complex engineering tasks by integrating with developer tools and leveraging AI for planning, execution, and iteration.
Generates visual charts from data using the Model Context Protocol and AntV.
Provides n8n workflow templates for building various AI agents.
Enables developers to integrate Google's generative models into Python applications.
Enables secure execution of untrusted user-generated code and AI code.
Provides a streamlined Python interface for easily interacting with AI chat models like ChatGPT and GPT-4, emphasizing efficiency and minimal code complexity.
Empower ChatGPT with long-term memory by creating custom knowledge bases from uploaded documents and retrieving relevant answers using the OpenAI and Pinecone vector database stack.
Enables building LLM-powered applications through a multi-agent programming paradigm.
Provides an open-source implementation of OpenAI's ChatGPT Code interpreter, enabling users to generate and execute code through natural language prompts.
Provides an open-source implementation of the ChatGPT Code Interpreter using LangChain for sandboxed Python code execution.
Provides containerized development environments, enabling multiple coding agents to work safely and independently with diverse tech stacks.
Transforms AI agents into specialized experts through a revolutionary conversational context engineering platform.
Provides a secure runtime environment for fully-autonomous AI agents, designed for enterprise-grade deployment.
Provides structured spec-driven development workflow tools for AI-assisted software development.
Provides an open-source memory layer specifically designed for AI coding agents.
Automatically generates and comprehensively evaluates presentations from documents using an innovative agentic AI system.
Unifies Model Context Protocol (MCP) and REST services, providing a central management point for AI clients and federated environments.
Connect AI models to thousands of APIs, data sources, and tools with a single function call, abstracting away the complexities of the Model Context Protocol.
Intelligently routes large language model requests to the most suitable models and tools for optimized inference, enhanced security, and improved accuracy.
Provides an enhanced Model Context Protocol (MCP) server for interactive user feedback and command execution, supporting both web and native desktop interfaces across various development environments.
Powers AI workflows on macOS with an always-on edge runtime for local and cloud models, enabling shared tools via Model Context Protocol.
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