Apisix Model Context Protocol (mcp) Server

Created byapi7api7

APISIX Model Context Protocol (MCP) server is utilized to connect large language models (LLMs) with the APISIX Admin API.

Overview

What is APISIX Model Context Protocol (MCP)?

APISIX Model Context Protocol (MCP) is a server designed to connect large language models (LLMs) with the APISIX Admin API. This integration allows developers to leverage the capabilities of LLMs in their applications, enhancing functionality and enabling more sophisticated interactions.

Features of APISIX MCP

  • Seamless Integration: APISIX MCP provides a straightforward way to connect LLMs with the APISIX Admin API, facilitating easy access to advanced language processing capabilities.
  • Public Repository: The project is open-source and available on GitHub, allowing developers to contribute and customize the solution to fit their needs.
  • Apache-2.0 License: The MCP is licensed under the Apache-2.0 license, ensuring that it can be freely used and modified.
  • Community Support: With a growing number of stars and forks on GitHub, the community around APISIX MCP is active, providing support and enhancements.

How to Use APISIX MCP

  1. Installation: Begin by cloning the repository from GitHub. Use the command:
    git clone https://github.com/api7/apisix-mcp.git
    
  2. Configuration: Set up the necessary configurations to connect your LLM with the APISIX Admin API. This may involve specifying API endpoints and authentication details.
  3. Deployment: Deploy the MCP server in your environment. Ensure that it is accessible to your applications that will utilize the LLM capabilities.
  4. Integration: Use the provided API endpoints to interact with the LLMs. This can include sending requests for text generation, analysis, or other language processing tasks.

Frequently Asked Questions

What are the prerequisites for using APISIX MCP?

To use APISIX MCP, you should have a basic understanding of APIs and familiarity with Git for cloning the repository. Additionally, knowledge of the programming language you plan to use for integration is beneficial.

Can I contribute to the APISIX MCP project?

Yes! The project is open-source, and contributions are welcome. You can submit issues, feature requests, or pull requests on the GitHub repository.

Is there any documentation available?

Yes, detailed documentation is typically provided in the repository's README file and additional markdown files. You can also find community discussions and examples in the issues section.

How can I report bugs or request features?

You can report bugs or request features by opening an issue on the GitHub repository. Make sure to provide a clear description and any relevant details to help the maintainers address your request effectively.

Details

Server Config

{
  "mcpServers": {
    "apisix-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/metorial/mcp-container--api7--apisix-mcp--apisix-mcp",
        "pnpm run start"
      ],
      "env": {
        "APISIX_SERVER_HOST": "apisix-server-host",
        "APISIX_SERVER_PORT": "apisix-server-port",
        "APISIX_ADMIN_API_PORT": "apisix-admin-api-port",
        "APISIX_ADMIN_API_PREFIX": "apisix-admin-api-prefix",
        "APISIX_ADMIN_KEY": "apisix-admin-key"
      }
    }
  }
}

Project Info

Author
api7
Created At
Jul 21, 2025
Star
25
Language
TypeScript

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