API Development MCP 服务器

Tic-Tac-Toe

Develops a minimal ChatGPT application featuring an interactive greeting widget, confetti animations, and theme customization.

Spring

Provides a sample server implementation built using the Spring framework.

Binance

Integrates Binance API functionalities with datetime utilities via a FastMCP server for cryptocurrency market operations.

Simple Server

Provides basic HTTP endpoints for Model Context Protocol (MCP) interactions using Python Flask.

CrafterCMS AI Engine

Integrates a Model Context Protocol (MCP) server directly into a CrafterCMS Engine instance, enabling seamless AI tool integration.

PulseEngine

Builds production-ready Model Context Protocol (MCP) servers with comprehensive infrastructure for AI assistant integration in Rust.

Unimus

Integrates Unimus network configuration management data with large language models (LLMs) via a read-only Model Context Protocol server.

Weather Server

Supplies weather data to large language models via the Model Context Protocol.

OpenAPI Context Engine

Connects AI agents to API specifications, providing precise, progressively disclosed API information using multi-layered hybrid search.

Tangled

Integrates Tangled.org, a Git collaboration platform built on AT Protocol, with various MCP clients.

Boilerplate

Provides a foundational template for building custom Model Context Protocol (MCP) servers to integrate with various AI assistants.

Weather

Provides comprehensive weather data from NWS public APIs, incorporating robust input validation, error handling, geocoding, and a unique weather comparison feature.

Capabilities

Verifies and reports the supported Model Context Protocol (MCP) capabilities of connected hosts or clients.

Uma

Manages and coordinates multi-agent systems, providing a centralized control point for distributed agent operations.

Serper Search and Scrape

Provides web search and webpage scraping capabilities through the Serper API.

Lodestar

Provides a foundation for creating Model Context Protocol (MCP) servers using Python.

Remote Server Demo

Provides a foundational setup for deploying a remote Microservices Control Plane server, demonstrating both local and cloud deployment.

Mnemosyne

Enables AI coding agents to seamlessly interface with Mnemosyne cloud knowledge graphs using the Model Context Protocol (MCP).

Context Storage

Provides persistent multimodal context storage for LLM agents, enabling seamless context sharing across multiple agents.

Kabra

Enables LLMs to interact with external tools and inject context using the Model Context Protocol (MCP).