🚀 GitHub AI Agent
@cnoe-io
关于 🚀 GitHub AI Agent
GitHub AI Agent powered by official GitHub MCP Server. Uses LangGraph and LangChain MCP Adapters. Agent is exposed on various agent transport protocols (AGNTCY Slim, Google A2A, MCP Server)
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"agent-github": {
"command": "docker",
"args": [
"pull",
"ghcr.io/cnoe-io/agent-github:a2a-latest"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is GitHub AI Agent?
GitHub AI Agent is an LLM-powered agent built using the LangGraph ReAct Agent workflow and MCP tools. It integrates with the GitHub API through a dedicated GitHub MCP server, supporting both ACP and A2A protocols for external client communication. Designed for developers and teams, it uses Azure OpenAI GPT-4 as its LLM backend.
How to use GitHub AI Agent?
Configure a .env file with Azure OpenAI credentials and a GitHub personal access token, then run the agent via Docker (docker pull ghcr.io/cnoe-io/agent-github:a2a-latest && docker run ...) or locally (make run-a2a). Interact with the agent using the agent-chat-cli client (e.g., uvx https://github.com/cnoe-io/agent-chat-cli.git a2a).
Key features of GitHub AI Agent
- LangGraph ReAct Agent with MCP tool integration
- Azure OpenAI GPT-4 as the LLM backend
- Multi-protocol support: ACP and A2A
- GitHub API via a dedicated first-party MCP server
- Comprehensive GitHub API support (repos, issues, PRs, branches, commits, projects, teams)
- Docker-based deployment for easy setup
Use cases of GitHub AI Agent
- List and manage your GitHub repositories conversationally
- Create and manage issues with labels and assignments
- Handle pull request operations through natural language
- Perform branch and commit management tasks
- Coordinate team collaboration and project management
FAQ from GitHub AI Agent
What protocols does GitHub AI Agent support?
It supports both the AGNTCY ACP protocol and Google’s A2A protocol for flexible integration with external user clients and multi-agent orchestration.
What are the runtime dependencies?
Python 3.13+, Poetry 2.1.1+, Docker, and access to Azure OpenAI (GPT-4 deployment) with a valid API key and endpoint.
Where does the agent’s data live?
All data operations go through the GitHub API using the provided personal access token. No persistent local storage is mentioned; the agent interacts with GitHub in real time.
What authentication is required?
You need a GitHub classic personal access token with permissions for repo, workflow, admin:org, and other scopes listed in the README, plus an Azure OpenAI API key and endpoint.
How is the GitHub MCP server generated?
The MCP server is generated by the first-party openapi-mcp-codegen utility, ensuring version/API compatibility and software supply chain integrity.
AI 与智能体 分类下的更多 MCP 服务器
Solon Ai
opensolonJava AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.
MCP Claude Code
SDGLBLMCP implementation of Claude Code capabilities and more
21st.dev Magic AI Agent
21st-devIt's like v0 but in your Cursor/WindSurf/Cline. 21st dev Magic MCP server for working with your frontend like Magic
🛡️ A.I.G（AI-Infra-Guard）
TencentA full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
Unreal Engine Generative AI Support Plugin
prajwalshettydevUnreal Engine plugin for LLM/GenAI models & MCP UE5 server. OpenAI GPT-5, Deepseek R1, Claude Opus/Sonnet, Gemini 3, Grok 4, Alibaba Qwen, Kimi, ElevenLabs TTS, Inworld, OpenRouter, Groq, GLM, Ollama, Local, Meshy, Tripo, Hunyuan3D, Rodin, fal, Dashscope, Seedream. NPC AI, agenti
评论