api development向けの厳選されたMCPサーバーコレクションをご覧ください。9149個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Integrates WhatsApp through the Evolution API with Claude Desktop, enabling AI-powered messaging and conversation management.
Runs a custom MCP server using Node.js, configured through a JSON file.
Facilitates Drupal development by providing tools for querying modules and interacting with Drush commands through the Model Context Protocol.
Provides an MCP server to interact with the Picnic grocery delivery service API, enabling programmatic access to its features.
Enables AI models to interact with external systems by providing Model Context Protocol (MCP) servers for file system and MongoDB database operations.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers without authentication.
Enables AI agents to interact with multiple EVM-compatible networks via a unified interface.
Access real-time bus and train information across over 10 Malaysian cities, including live arrivals, vehicle tracking, and route details from major transit providers.
Integrates Incode's identity verification services into AI assistants, enabling secure user authentication through natural language.
Generates customizable MCP servers for Smithery with integrated Cursor IDE support.
Enables interaction with the Bithumb API to fetch cryptocurrency data and manage transactions.
Establishes a bridge between Model Context Protocol clients and local, OpenAI-compatible Large Language Model services.
Bridges data from the Waferlock Robot MCP public REST API to Model Context Protocol clients like ChatGPT Desktop via a local server.
Demonstrates a Python-based server designed for testing with VS Code Copilot in Agent mode.
Curates a list of Model Context Protocol (MCP) servers optimized for Claude and other AI assistants, enhancing their capabilities.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers without authentication.
Establishes an MQTT client server, enabling Claude to interact with MQTT brokers for real-time messaging and topic management.
Enables parallel execution of multiple Claude prompts, leveraging file contexts and output redirection.
Demonstrates how to implement a Model Context Protocol (MCP) server in Python.
Enables interaction with the Kaonavi API through an MCP server.
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