API Development MCP 服务器

Aplus

Integrates WeWork project management data with large language models, enabling detailed project analysis and information retrieval.

Izzan Zahrial

Facilitates the creation of Model Context Protocol (MCP) servers and clients using Python.

Apple Notes

Automate common Apple Notes tasks, including listing, searching, reading, creating, updating, and deleting notes on macOS.

Google Calendar

Integrate and manage Google Calendar events, handling scheduling, invitations, and availability through a standardized interface.

AI Server

Empowers intelligent assistants to answer domain-specific questions by leveraging RAG-based retrieval and Pinecone vector storage on custom knowledge bases.

LEDAPI Intent Controller

Translates high-level natural language-like commands into specific actions for Arduino-based LED systems via a RESTful API.

Demo

Provides a demonstration of an MCP server implementation using the `http-mcp` package, exposing example tools and prompts.

Ad-Veritas TrueRAG

Implements a Model Context Protocol (MCP) server for accessing policies via a GraphQL API.

Tusk Drift

Queries API traffic data captured by Tusk Drift to empower AI assistants for analysis and debugging.

PromptStudio

Manage AI prompts with collections, variables, execution history, and import/export capabilities.

Catfact

Fetches a random cat fact from the catfact.ninja API.

Capi

Exposes the full VSCode API and commands for external scripting and automation, enabling external control over VSCode sessions.

Router

Facilitates service discovery and proxying for Model Control Protocol (MCP) services.

Python Weather

Provides real-time weather data for specified locations via an AI agent-accessible tool built with the Model Context Protocol (MCP).

TypeScript On-Process

Implements an on-process Model Context Protocol server using TypeScript and standard I/O streams for client communication.

AI Projects

Develops AI applications leveraging Spring Boot for robust backend solutions.

AI Todo

Demonstrates an API-first Model Context Protocol approach with a FastAPI backend and a Next.js client for todo management.

TryKitt.ai

Enables AI assistants to find and verify B2B email addresses using the TryKitt.ai API.

Sentice

Provides a Model-Context-Protocol (MCP) server for integrating with backend services and facilitating development and debugging in a Docker environment.

Fast SQLite

Enables natural language interaction with SQLite databases through a web-based chat interface.