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。
Retrieves information from the AWS Knowledge Base using the Bedrock Agent Runtime, enabling Retrieval-Augmented Generation (RAG).
Analyzes binary files, providing tools to read and extract metadata from various formats.
Enables AI models to programmatically interact with the Windows command line interface.
Automates the process of publishing blog posts from Obsidian to a specified directory and GitHub repository.
Enables AI models to perform file system operations through a standardized API.
Evaluates functionality using the Claude language model.
Enables listing, reading, and searching files within Google Drive.
Enables AI agents to create, update, and manage short links via the Dub.co link shortening service.
Enables Large Language Models to search proprietary and web sources for information and submit feedback on transactions via the Valyu Network API.
Integrates itemit asset management with the Model Context Protocol (MCP) ecosystem to programmatically manage assets and locations.
Monitors and analyzes HTTP/HTTPS traffic with automated browser setup, leveraging Model Context Protocol for enhanced control.
Provides a lightweight, MCP-compatible server built with Bun.js and Elysia for advanced AI integrations.
Bridges various Model Context Protocol (MCP) transports used by IDEs and AI agents with Sequa's native HTTP MCP endpoint.
Enables AI assistants to effortlessly access and manage Jira issues, projects, and JQL searches through a simplified server integration.
Enables AI assistants to intelligently navigate and search extremely large JSON files efficiently, minimizing token usage and improving performance.
Integrate Azure DevOps with AI assistants like VS Code/GitHub Copilot to manage work items directly from your chat interface.
Integrates Tavily API for web search capabilities within an MCP server environment.
Facilitates secure collaboration among multiple LLM agents using the Model Context Protocol, featuring advanced safeguards, auditable logs, and rate limiting.
Provides secure, read-only access to MySQL databases for AI assistants via the Model Context Protocol.
Enforces constitutional-level safety, ethical, and truth constraints on AI agent outputs at runtime using a thermodynamic constraint engine.
Enhances the player experience by providing real-time AI-powered support and guidance for video games.
Provides web search, website reading, and YouTube transcript tools for LLM clients, requiring zero API keys.
Equips AI agents with persistent, local-first memory, enabling them to recall, analyze, and leverage past conversations and decisions.
Integrate Vibe Kanban tasks and sessions directly into AI coding assistants for streamlined project management.
Equip AI agents with real email addresses and phone numbers to send, receive, and manage email and SMS communications.
Provides an AI-native interface to query and research 62 Cameroonian laws, serving as an alternative to traditional legal gazettes.
Connects AI agents to Yelp for comprehensive local business discovery, enabling search, review retrieval, and access to detailed business information.
Empowers AI agents to interact with Walmart.com for shopping, cart management, and order tracking via robust browser automation.
Connects any Model Context Protocol (MCP) compatible client to Gemini Enterprise via the StreamAssist API.
Empower AI agents with market intelligence to perform competitive analysis, identify workflow-level gaps, and generate strategic BUILD/PIVOT/AVOID verdicts.
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