What runtime and dependencies are required?
Python, `uv` as the package manager, and the libraries listed in the project (FastMCP, LangGraph, LangChain MCP Adapters, and a custom Higress client) are required.
Higress OPS MCP Server
@higress-group
基本信息
关于 Higress OPS MCP Server
A Model Context Protocol (MCP) server implementation that enables comprehensive configuration and management of Higress.
Higress OPS MCP Server 配置
Higress OPS MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
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 Higress OPS MCP Server?
Higress OPS MCP Server is a Model Context Protocol (MCP) server implementation for comprehensive configuration and management of Higress, the cloud-native API gateway. It also includes an MCP client built on LangGraph and LangChain MCP Adapters, enabling AI-agent-based interaction with Higress operations. This server is designed for developers and operators who want to manage Higress programmatically or via natural language interfaces.
How to use Higress OPS MCP Server?
Copy the .env.example file to .env and fill in the required environment variables. Then run uv run client.py from the command line to start both the MCP client and the MCP server in stdio mode. The server automatically registers all tools, and write operations listed in SENSITIVE_TOOLS require human confirmation before execution.
Key features of Higress OPS MCP Server
- MCP server for configuring and managing Higress gateways
- Client with LangGraph-based agent flow architecture
- Extensible tool registration via custom tool classes
- Sensitive write operations require human confirmation
- Built on FastMCP and Higress Console API
- Supports adding routes, service sources, request block plugins, and more
Use cases of Higress OPS MCP Server
- Automate gateway route creation and updates via AI agents
- Manage upstream service sources with natural language commands
- Configure request blocking plugins without manual console access
- Integrate Higress operations into larger LangGraph workflows
常见问题
How do I add a new tool to the server?
Create a tool class with a `register_tools` method, add methods to `utils/higress_client.py` if needed, then register the class in the `tool_classes` list in `server.py`. Optionally add the tool name to `SENSITIVE_TOOLS` if it requires human confirmation.
How does data storage and authentication work?
The server communicates with the Higress Console API. Authentication credentials are provided via environment variables (see `.env.example`). No data is stored locally beyond configuration; all operations affect the connected Higress instance.
What transport protocol does the server use?
The server and client communicate using the stdio transport protocol, with the MCP server process started by the client program.
Are there any known limitations?
The README does not mention specific limits. Tools that modify state (listed in `SENSITIVE_TOOLS`) require explicit human approval, which may impact fully autonomous workflows.
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