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apifox-mcp

by iwen-conf·★ 33·Score 43

MCP server enabling AI assistants to manage Apifox API projects through natural language commands.

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Overview

This MCP server connects AI assistants directly to Apifox API management projects. It provides comprehensive tooling for API endpoint and schema management, allowing creation, updates, audits, and deletions through natural language interactions. The server supports both uv and pip installation methods and integrates seamlessly with Claude Desktop via Docker or local execution.

Try asking AI

After installing, here are 6 things you can ask your AI assistant:

you:Automate API documentation updates in Apifox through AI assistant commands
you:Audit API response schemas and completeness in bulk
you:Create new API endpoints directly via conversational AI interface
you:How do I get the APIFOX_TOKEN?
you:What are the system requirements?
you:Can I use this with AI assistants other than Claude?

When to choose this

Choose this MCP server if you're already using Apifox for API management and want to integrate AI assistants into your workflow for documentation and API creation.

When NOT to choose this

Avoid this if you need API management functionality outside of Apifox, or if you're concerned about vendor lock-in to a specific API documentation platform.

Tools this server exposes

12 tools extracted from the README
  • list_api_endpoints

    List all API endpoints in the Apifox project

  • get_api_endpoint_detail

    Get detailed information about a specific API endpoint

  • create_api_endpoint

    Create a new API endpoint in the project

  • update_api_endpoint

    Update an existing API endpoint in the project

  • delete_api_endpoint

    Delete an API endpoint from the project

  • check_api_responses

    Check API responses for completeness and correctness

  • list_schemas

    List all data schemas in the Apifox project

  • get_schema_detail

    Get detailed information about a specific schema

  • create_schema

    Create a new data schema in the project

  • update_schema

    Update an existing data schema in the project

  • list_folders

    List all folders in the Apifox project

  • create_folder

    Create a new folder in the Apifox project

Comparable tools

postman-mcpswagger-mcpapi-gateway-mcpopenapi-mcp

Installation

Installation

  1. **Clone the repository**

``bash git clone <repository_url> cd <repository_name> ``

  1. **Create and activate virtual environment (optional but recommended)**

``bash uv venv # Activate virtual environment # Windows .venv\Scripts\activate # macOS/Linux source .venv/bin/activate ``

  1. **Install dependencies**

```bash # Using uv (recommended for local development) uv sync

# Using pip (traditional way) pip install mcp[cli] requests ```

  1. **Configure environment variables**

``bash export APIFOX_TOKEN="your_token_here" export APIFOX_PROJECT_ID="your_project_id_here" ``

  1. **Run the MCP server**

``bash uv run python -m apifox_mcp.main # or python -m apifox_mcp.main ``

  1. **Configure Claude Desktop**

Add to your claude_desktop_config.json: ``json { "mcpServers": { "apifox": { "command": "uv", "args": [ "run", "--directory", "/path/to/apifox-mcp", "python", "-m", "apifox_mcp.main" ], "env": { "APIFOX_TOKEN": "your_token_here", "APIFOX_PROJECT_ID": "your_project_id_here" } } } } ``

FAQ

How do I get the APIFOX_TOKEN?
You can obtain it from the Apifox client: Account Settings → API Access Token
What are the system requirements?
Python 3.10+ and an Apifox account with API access permissions
Can I use this with AI assistants other than Claude?
Yes, any MCP-compatible AI assistant should be able to connect to this server

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Last updated · Auto-generated from public README + GitHub signals.