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。
Monitors file system events and provides real-time notifications to MCP clients for file changes.
Provides insights from an EventCatalog instance directly within an MCP client, such as Claude or Cursor.
Implements a Model Context Protocol server for querying and analyzing healthcare data stored in the OMOP Common Data Model.
Enables AI Agents to interact with the Twilio SendGrid v3 API for managing contacts, lists, templates, and email sends.
Enables Large Language Models and other MCP clients to interact with Ansys/AGI STK for digital mission engineering.
Facilitates structured problem-solving using a cognitive framework inspired by the Lotus Sutra.
Enables Claude to interact with Okta for user and group management.
Enables AI assistants to execute terminal commands on a system through a secure shell interface.
Enables communication with a Cloudflare Worker from Claude Desktop.
Implements a Retrieval-Augmented Generation (RAG) system leveraging Google's Agent Development Kit (ADK) and Qdrant vector database for enhanced LLM responses.
Aggregates documentation from GitHub repositories or URLs into a single file, optimized for use with Large Language Models (LLMs).
Enables large language models to create and manage content within Notion and generate Markdown books.
Integrate AI assistants with GitLab to enable conversational access to merge request information, reviews, and discussions.
Enables Claude to access and interact with Gong call recordings and transcripts through a standardized interface.
Exposes database schemas and tables via an MCP server using FastAPI, ODBC, and SQLAlchemy.
Enables AI agents to perform knowledge discovery and analysis across an Obsidian vault.
Integrates the ChatGPT macOS application with the MCP ecosystem for seamless AI interactions.
Empowers AI assistants with advanced CSV data manipulation, analysis, and validation capabilities.
Demonstrates an identity-aware MCP server leveraging Tailscale Serve to access user information within a private Tailnet.
Provides a Model Context Protocol (MCP) server implementation for the HuLa instant messaging application, enabling contextual awareness and functional support.
Transforms REST endpoints into MCP resources automatically using a LangChain-based CLI and server.
Provides an AI-powered interface for debugging and inspecting Kubernetes clusters with eBPF-based gadgets.
Provides enhanced file operation capabilities with streaming, patching, and change tracking support.
Executes Nuclei security scans via the Model Control Protocol (MCP) for convenient vulnerability assessment.
Enables AI assistants to interact with the Sentry API for error data retrieval, project management, and application performance monitoring.
Enables interaction with Genesys Cloud's Platform API using the Model Context Protocol.
Empowers AI assistants with a comprehensive suite of tools for streamlined Magic-API development, management, and debugging.
Facilitates interaction with Raindrop.io bookmarking service as an MCP server.
Enables execution of MATLAB code from Large Language Models (LLMs) through a Model Context Protocol (MCP) server.
Enables Claude to interact with the Webflow API.
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