🚀 GitHub AI Agent
@cnoe-io
About 🚀 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)
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"agent-github": {
"command": "docker",
"args": [
"pull",
"ghcr.io/cnoe-io/agent-github:a2a-latest"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
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.
Frequently asked questions
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.
Basic information
More AI & Agents MCP servers
Lumify Sports Intelligence
LumifyAgent-ready sports intelligence API: live scores, odds, line movement, public betting splits, and explainable bet confidence — via 16 MCP tools at https://lumify.ai/mcp. Get a free key instantly — no signup, email, or ca
Shell and Coding agent for Claude and other mcp clients
rusiaamanShell and coding agent on mcp clients
Open Multi-Agent Canvas
CopilotKitThe open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research
Web Agent Protocol
OTA-Tech-AI🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
欢迎来到 智言平台
Shy2593666979AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。
Comments