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 Large Language Models to interact with JIRA through standardized tools and context.
Enables Large Language Models and AI agents to securely interact with the NEAR blockchain.
Integrates the Gemini API for Model Context Protocol (MCP) hosts, intelligently selecting models and providing advanced file handling.
Enables interaction with Descope's Management APIs for searching and retrieving project information.
Integrates Ollama with Model Context Protocol (MCP) servers, allowing AI models to interact with various tools through a unified interface.
Enables AI assistance to interact with and modify PowerPoint and Excel files through Model Context Protocol.
Enables chat assistants to generate images using the Grok-2 model via the Model Context Protocol (MCP).
Integrates local and remote tools with AI agents using the Model Context Protocol (MCP) within the AutoGen framework.
Inspects messages exchanged between an MCP client and server via a web interface.
Injects auto-approve functionality into the Claude Desktop application.
Injects environment variables into Cursor MCP server definitions.
Automates Google Chrome through AI agents via a WebSocket connection to a browser extension.
Enables AI assistants to break down user requests into manageable tasks with subtasks, dependencies, and notes.
Provides a desktop client for interacting with Claude AI and other compatible models, featuring Model Context Protocol (MCP) server support.
Provides a secure, multi-tenant Model Context Protocol (MCP) server framework for modern AI application development.
Empowers MCP-compatible agents with Language Server Protocol capabilities for enhanced code analysis and interaction.
Enables Claude Code to leverage Gemini AI by integrating with the local Gemini CLI tool.
Enables AI assistants to interact with Red Hat's automation and infrastructure ecosystem, encompassing Ansible Automation Platform, Event-Driven Ansible, ansible-lint, and official Red Hat documentation.
Captures website screenshots with full page, element, and device size features via a Model Context Protocol server.
Provides a Model Context Protocol (MCP) server that integrates with SmartBear's API Hub, Test Hub, and Insight Hub.
Integrates Qlik Sense Enterprise with Model Context Protocol (MCP) systems, offering unified access to its APIs for data, analytics, and administration.
Enables AI assistants to interact with Salesforce organizations by providing tools for Apex execution, data querying, metadata management, and code analysis via the Salesforce CLI.
Enables AI agents to interact with the Infobip platform and perform communication and customer data management actions via the Model Context Protocol.
Exposes Revit API documentation and related content to Large Language Models, curbing hallucinations and providing access to niche information.
Provides a comprehensive Python client library and Model Context Protocol (MCP) server for Microsoft Dynamics 365 Finance & Operations, enabling streamlined access to OData endpoints, metadata, labels, and AI assistant integration.
Establishes a local FAISS vector store as a Model Context Protocol server, enabling drop-in local Retrieval-Augmented Generation for AI agents and LLMs.
Provides robust capabilities for reading, rendering, and searching PDF documents.
Enable AI agents to perceive and interact with any desktop application through a cross-platform accessibility API.
Provides AI agents with a self-hosted, three-tiered persistent memory system featuring semantic embeddings and zero API costs.
Provides a robust, production-grade Model Context Protocol (MCP) server architecture with a multi-agent system, designed for secure and scalable operation.
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