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Apifox
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6 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"juzisuan965-apifox-mcp": {
"command": "npx",
"args": [
"@juzi965/apifox-mcp-server"
],
"env": {
"APIFOX_AUTH": "..."
}
}
}
}You can bridge AI assistants with Apifox API data using a Stdio-based MCP server. This server lets your AI tools access API endpoint details defined in Apifox in real time, enabling accurate code generation and faster integration.
How to use
Install and run the MCP server alongside your AI tooling. You will connect your MCP client to this server to request API endpoint information, including methods, headers, parameters, and response schemas. Use the server to fetch endpoint specifications on demand and integrate them into your AI-driven workflows, such as generating client code, validating requests, or documenting API usage.
How to install
Prerequisites you need before starting are Node.js and npm. Ensure you have a working Node environment on your machine.
# If you don’t have Node.js and npm installed, install them from https://nodejs.org/
# Check versions
node -v
npm -v
Configuration and usage notes
To use the Apifox MCP Server, configure it as a stdio MCP server. The server runs via npx and requires an Apifox authentication token.
Troubleshooting and tips
If you encounter communication difficulties, remember that this MCP server uses standard input/output. Use a debugging tool or inspector to monitor the data exchange during development.
Additional notes
Maintain your authentication token securely and refresh it as needed to keep API access uninterrupted.
Available tools
get_api_endpoint_info
Fetches the full API endpoint definition from Apifox, including HTTP method, headers, parameters, and response schema.