关键词 "Pull request review" 的搜索结果, 共 24 条, 只显示前 480 条
MCP (Minimal Command Protocol) server that allows users to search for documentation from popular libraries such as LangChain, LlamaIndex, and OpenAI using the Serper API. The server fetches search res
Azure Database for PostgreSQL MCP Server
The Indian Railways MCP Server provides live station status and train information using the Model Context Protocol (MCP). This server is designed to handle requests for live data from Indian Railways.
This project provides an HTTP server for image generation using Stable Diffusion, along with a Model Context Protocol (MCP) server that enables AI agents to request image generation.
MCP targeting wording reviews for C++ Standards committee
A MCP (Model Context Protocol) server to allow code security reviews using
MCP server for find agoda hotel reviews
An MCP Server for Canvas / Instructure to help pull Assignment details and deadlines
MCP Server demo providing Book Reviews
MCP server for aiding with literature reviews
Due to the naming issue of the model providers, let's review the model names.
⭐️ MCP Server for Google Play Reviews
A lightweight TypeScript middleware for MCP SDK servers that delivers analytics. Captures request metrics, performance data, and usage patterns with minimal overhead. Features real-time monitoring, co
Statsource is a standalone MCP server designed to simplify data analysis. Whether you're pulling data from a PostgreSQL database or a CSV file, Statsource delivers actionable insights with ease
This project is a Model Context Protocol (MCP) Server built using Node.js + Express.js that interacts with the OpenWeather API. It allows users to fetch air pollution data based on latitude & longitud
An MCP server to give Claude easy access to pulling docs
An MCP (Model Context Protocol) server for data transformation and BI charts will allow AI assistants to connect to your data sources, transform data, and generate high-quality visualizations through
A Model Context Protocol server providing LLM Agents a second opinion via AI-powered Deepseek-Reasoning R1 mentorship capabilities, including code review, design critique, writing feedback, and idea b
Pull pagespeed data using this MCP server.
This project implements a Python-based MCP (Model Context Protocol) server that acts as an interface between Large Language Models (LLMs) and the Google Calendar API. It enables LLMs to perform calend
It consistently responds with "Ranger!" to any MCP tool request it receives via standard input/output.
Exposes MinIO data through Resources. The server can access and provide: Text files (automatically detected based on file extension) Binary files (handled as application/octet-stream)
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