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 comprehensive set of tools for AI-driven software development workflows, including file operations, code analysis, Git integration, code execution, and system information retrieval.
Enables Claude or other AIs to interact with Iaptic data for insights into customers, purchases, and transactions.
Interacts with GitHub repositories programmatically using the GitHub API.
Enables users to upload PDF documents, process them, and ask questions about their content using natural language, powered by Retrieval Augmented Generation (RAG).
Demonstrates building a Model Context Protocol (MCP) server in Python to expose custom tools and resources to large language models (LLMs) and MCP clients.
Enables AI assistants like Claude to generate personalized coding challenges for FrontendLeap users.
Retrieves details about chess players.
Generates PlantUML code for UML Class and Sequence diagrams leveraging Google Gemini's AI capabilities.
Accesses PubChem's vast chemical database for comprehensive chemical search, structure analysis, property prediction, bioactivity data, and safety information.
Enable AI assistants to greet users in seven different languages with high performance and reliability.
Integrates BlackArch Linux security tools into a comprehensive server for educational penetration testing using the Model Context Protocol.
Enables AI assistants to programmatically control a web browser for automation tasks by integrating Playwright with Cloudflare Workers as an MCP server.
Facilitates web search capabilities for an MCP server through integration with the Tavily API, demonstrating an extensible Model Context Protocol environment.
Integrate with Google Calendar API to retrieve events for specific dates via Model Context Protocol.
Provides access to Google Maps services including maps, geocoding, place search, navigation, and elevation through a Model Context Protocol (MCP) server.
Provides an intelligent data pipeline for high-fidelity crawling and extraction of technical documentation, optimized for AI agents.
Provides comprehensive Google Maps functionality, including places search, geocoding, and directions, through a Model Context Protocol (MCP) interface.
Generates styled QR codes through a free and open API.
Provides a hardened Docker Compose reference guide with best practices, security defaults, recipes, and troubleshooting for homelab and self-hosted setups.
Parse, inspect, validate, anonymize, and transmit HL7 v2 messages with a comprehensive toolkit.
Facilitates AI-powered interactions with Beans issue tracker workspaces through the Model Context Protocol.
Establishes a persistent synthetic memory system for AI agents, enabling attention-weighted recall across sessions with a robust, decoupled architecture.
Unifies AI-agnostic skills, Model Context Protocol (MCP) servers, and diverse APIs by converting them into powerful CLI commands and enabling skills to serve as MCP endpoints.
Provides a robust memory layer for autonomous agents with provenance tracking, decay-weighted recall, and feedback-driven learning.
Empowers AI agents to seamlessly read news, post comments, rate content, and participate in live chats on the NoFOMO News platform.
Provides access to Metal-Organic Framework databases, isotherms, and structural data via the Model Context Protocol.
Extracts and manages comprehensive image information and metadata, including format detection, dimensions, and EXIF data.
Generates SVG icon data and descriptions from text input, offering a suite of functionalities for icon management.
Streamline essential human resources operations by calculating leave, estimating payroll, conducting performance reviews, managing onboarding, and ensuring compliance.
Integrates HubSpot CRM functionalities for contact, company, and deal management.
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