API Development MCPサーバー

JSON-RPC Client and Server Example

Demonstrates a basic JSON-RPC client and server implementation using Node.js.

Fetch

Enables LLMs to retrieve and process content from web pages by converting HTML to markdown.

Demo Client

Implements a client for interacting with the MCP (Meta-Cognitive Protocol) using Anthropic's API, including an agency loop.

Command Gateway

Provides a secure, containerized interface for remote command execution.

Ton

Enables interaction with the TON Blockchain, facilitating operations like sending transactions and checking balances.

Internetdata

Leverages dynamic tools defined as trips to provide an updated MCP server.

MCP Framework

Connects large language models (LLMs) and tools through an OpenAI-compatible API.

Zipcode Search

Provides Japanese postal code to address lookup functionality for AI assistants and other Model Context Protocol clients.

Meta Ads

Enables AI assistants to interact with the Meta Marketing API for comprehensive ad campaign management.

Elasticsearch

Enables LLM-powered applications to manage and interact with Elasticsearch clusters using the Model Context Protocol.

Yandex Tracker

Integrates AI assistants with the Yandex Tracker task management system via the Model Context Protocol.

NCBI Gene Client

Fetches gene and protein metadata from the NCBI Entrez API, functioning as both a command-line tool and an MCP server.

Yahoo Finance

Provides AI agents with real-time and historical financial data from Yahoo Finance through a FastMCP v2 server.

OKX

Enables AI assistants to securely access and analyze OKX trading and portfolio data.

SendGrid

Automates email marketing and transactional communications by integrating SendGrid's API v3 via the Model Context Protocol.

Travel

Provides travel information, including flights and hotels data, via a Model Context Protocol server.

Moodle Web Service

Integrates Moodle's web services with the Model Context Protocol (MCP) for seamless interaction with AI assistants and external systems.

Connect

Connects local Model Context Protocol (MCP) clients, such as IDEs and LLMs, to remote MCP servers over HTTP/SSE, acting as a robust proxy and multiplexer.

MD Feedback

Facilitate structured feedback on markdown plans for AI agents to automatically implement, answer, and track.

Damnlies

Enables AI agents to access the Norwegian SSB API for statistical data.