API Development MCPサーバー

Quarkus Applications

Enables interaction with REST APIs through tool definitions via an MCP server.

Python Demo

Demonstrates a Python-based server designed for testing with VS Code Copilot in Agent mode.

Servers

Provides a simple Node.js and TypeScript-based server project with a basic tutorial.

Ramp

Interfaces with the Ramp API to allow access to Ramp data from any MCP client.

Agents File Operations

Provides file system operations via a Model Context Protocol (MCP) server-client architecture.

Mongo

Enables Large Language Models to interact with MongoDB databases through natural language.

Github Issue

Implements a Model Context Protocol (MCP) server for managing and summarizing text-based notes.

Rubygems

Fetches metadata for Ruby gems from the rubygems.org API using the Model Context Protocol.

Georgia 511

Provides access to real-time traffic information from Georgia's 511 service.

Flowise

Integrates Flowise chatflows and assistants into a Model Context Protocol (MCP) environment.

Curri

Provides an MCP server for interacting with Curri's API, managing notes and generating summaries.

Npm

Fetches information about npm packages, including details and popularity rankings.

Box Pydantic AI

Demonstrates the integration of Pydantic AI agents with the Box MCP server for secure content access.

Mcpc

Streamline MCP server development with an annotation-based framework for automatic code generation.

Weather

Provides current weather information for a given location via a standardized Model Context Protocol (MCP) interface.

Buttondown

Integrates with the Buttondown API to manage newsletters, drafts, and analytics via CLI, MCP server, and TypeScript API.

Caiyun Weather

Provides access to weather information from the Caiyun Weather API via an MCP-compatible server.

Basic Math

Offers fundamental mathematical operations, such as addition and subtraction, to integrate with AI clients via a Model Context Protocol server.

Perplexity Insight

Interfaces with the Perplexity AI API using the Model Context Protocol to provide advanced question answering capabilities.

Gemini Server

Enables AI assistants to interact with Google's Gemini API using the Model Context Protocol.