API Development MCP 服务器

Aws Client

Manages AWS resources through the Model Context Protocol using AWS CLI or boto3.

MemGPT Agent

Implements a simplified MemGPT agent using Spring Boot, exposing it as a REST API or MCP server.

Python Demo

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

Test Server

Enables Retrieval Augmented Generation (RAG) systems by providing a Python server that leverages OpenAI's vector store capabilities using the Model Context Protocol (MCP).

Agentic

Exposes runtime MCP Server vulnerabilities related to GitHub and Linear integrations.

Uniquity

Enables external tools and AI agents to access and utilize UniquityReporter's analysis functions via the Model Context Protocol (MCP).

Valetudo

Provides a Go-based MCP server to interact with Valetudo-powered robot vacuums via their HTTP API.

SendGrid

Enables Large Language Models like Claude Desktop to query live SendGrid data using CData JDBC Drivers.

Model Context Protocol

Implements the Model Context Protocol by integrating with GitHub and Notion to manage tasks and handle webhooks.

Google Search

Exposes Google Programmable Search Engine functionality as a tool via the Model Context Protocol.

Spotify

Integrates applications with the Spotify API through a Model Context Protocol server.

Synapse

Transforms existing REST APIs defined by OpenAPI/Swagger documentation into Model Context Protocol (MCP) compliant service endpoints for AI agents.

Go Random Number

Generates random numbers, including both integers and floating-point values, within a Golang-based server.

Agent Hub

Facilitates real-time communication and structured collaboration for AI agents by providing a central hub for message exchange and conversation management.

Poco

Provides a standalone service module designed to host Poco platform's diverse open interfaces for AI consumption.

Bamwor

Provides structured access to comprehensive world geographic data, including 261 countries and 13.4 million cities, for AI agents.

Nager v205

Enables AI agents and LLMs to interact with the Nager MCP v205 API through standardized tools.

Webhook

Manage and test webhooks for AI agents, covering payload sending, signature validation, generation, debugging, and retry scheduling.

GetCourse

Integrates with the GetCourse API to manage users, orders, and facilitate user creation through a Model Context Protocol server.

TalkAPI

Converts API documentation into production-ready code across 14 programming languages instantly using natural language.