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 a boilerplate for building Model Context Protocol servers deployable to AWS Lambda.
Provides a RESTful API for searching keywords within files, returning line numbers and occurrence counts.
Integrate with the Linear API to streamline issue tracking, project management, sprint planning, and team collaboration for modern development teams.
Facilitates AI agents' interaction with Azure DevOps wikis by providing comprehensive wiki operations via the Model Context Protocol.
Manages and coordinates multi-agent systems, providing a centralized control point for distributed agent operations.
Enables AI agents and assistants to interact with services by setting up an MCP server using Cloudflare Workers.
Locates the original definitions of TypeScript symbols, including those from imported packages, within a codebase.
Automates Subversion (SVN) repository operations, exposing them as tools for agent-driven workflows and seamless version control integration.
Supports the Curio project within the Filecoin ecosystem.
Provides a standardized Model Context Protocol (MCP) interface for accessing Repology package repository data.
Provides Large Language Models with a persistent memory of your coding history to maintain momentum across AI sessions.
Enables Gmail integration for MCP clients, providing direct email management.
Generates comprehensive performance test plans from OpenAPI specifications using intelligent analysis.
Integrate Zerion's cryptocurrency portfolio management, DeFi, NFT, and market data API with AI assistants via the Model Context Protocol.
Provides a simple, experimental server for integrating tools with local AI chat agents.
Explore a new amazing animal daily.
Enables AI assistants to control a browser through a set of tools, allowing them to perform web automation tasks like navigation, typing, clicking, and taking screenshots.
Verifies and reports the supported Model Context Protocol (MCP) capabilities of connected hosts or clients.
Provides natural language document analysis and management by combining any LLM with the Model Control Protocol.
Establishes a Model Context Protocol server to integrate AI tools with ServiceNow instances.
Extracts content from web pages using the UseScraper API.
Implements a memory system for large language models, enabling conversational context persistence across multiple LLM providers.
Enables large language models to automate web browsers for various online interactions and data collection tasks.
Enables an intelligent assistant to store, retrieve, and update user preferences and memories through an MCP-driven chat interface.
Provisions remote Claude Code sandboxes with pre-installed tools and a bundled Skills pack for streamlined development workflows.
Provides comprehensive offline access, search, and retrieval of Washington State's Revised Code (RCW) and Administrative Code (WAC) for AI agents.
Performs comprehensive codebase analysis by loading entire projects into Google's Gemini AI's 1M token context window.
Leverage the Tessie API to transform Tesla ownership with intelligent analytics, cost optimization, and predictive insights.
Builds and runs Node.js projects.
Automates and orchestrates development tasks with rigorous quality control and comprehensive validation.
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