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。
Provides tools for interacting with the Polygon.io API for market data.
Provides comprehensive and up-to-date MediaWiki markup syntax documentation by dynamically fetching and consolidating information from official MediaWiki help pages for consumption by large language models.
Integrates RongCloud instant messaging services, enabling comprehensive user, message, and group management within an MCP server framework.
Manages AI context by storing and retrieving semantic memory across sessions, enhancing AI knowledge retention.
Integrates Claude Code with GitHub Actions to create a seamless development environment.
Connects agents to Elasticsearch data, enabling natural language interaction with indices through the Model Context Protocol.
Enhances code editing workflows by providing precise file modifications, comprehensive file operations, and deep code analysis tools through a FastMCP server.
Assists in debugging, coding, and resolving code-related errors.
Demonstrates Spring AI tools implementation with an MCP server and agentic AI proposals.
Provides comprehensive functionality for ride-hailing services through the e代驾 open API.
Generates a Multi-Agent Conversation Protocol (MCP) server for interacting with the Trello API.
Serves LinkedIn profile data via the Model Context Protocol (MCP) for integration with AI models like Anthropic.
Analyzes log files by creating an SQLite database and interacting with it using the Model Context Protocol (MCP) SQLite server.
Enables AI tools to interact with and control Jenkins for tasks like job triggering and status retrieval.
Enables AI agents to seamlessly bridge USDC across multiple blockchain networks, providing real-time quotes, transaction simulations, and status tracking.
Connects Large Language Models and AI clients to live Sugar CRM data through a read-only Model Context Protocol (MCP) interface.
Integrates with the Lulu Print API to manage print-on-demand services through MCP clients.
Establishes a project query server built with TypeScript, adhering to the Model Context Protocol (MCP) and featuring a Spring Boot-style architecture.
Builds natural language interfaces for database operations using NestJS, MongoDB, and OpenAI, demonstrating Model Context Protocol for conversational AI with RAG integration and automated task execution.
Enables interaction with the Sentry API to retrieve issue and event details.
Orchestrates multiple AI agents with flexible communication protocols for scalable AI applications.
Demonstrates a Model Context Protocol (MCP) server for ChatGPT, enabling content discovery and retrieval via `search` and `fetch` tools.
Provides automated time and location information to AI models and applications by detecting system timezone and using IP-based geolocation.
Automate GitHub repository management and integrate with AI agents for enhanced development workflows.
Enables AI assistants to efficiently filter and analyze Cloud Platform logs using prefixes, patterns, and time ranges.
Provides an AI assistant application integrating FastMCP, MongoDB Atlas, and an LLM endpoint with direct MCP tool calling capabilities.
Provides real-time weather information and alerts to AI assistants by integrating with the National Weather Service API.
Manage tags in Obsidian vaults with a powerful CLI and a Claude Code-integrated MCP server.
Automates systematic document organization, converts PDFs to Markdown, and enforces a universal project documentation standard.
Provides weather information for MCP Server tools.
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