What is MCP?
The Model Context Protocol (MCP) is a standardized way for AI models and tools to access external data sources and APIs. It provides a consistent interface for connecting various data providers to AI applications.
Key Benefits
Standardized Interface
Consistent way to access different data sources
Secure Access
Controlled access to your data with proper authentication
Multiple Formats
Support for CSV, JSON, Parquet, and other file formats
Real-time Updates
Live access to your changing data
How to Connect
For MCP Clients
Configure your MCP-compatible AI client to connect to the apiUI MCP server:
Replace /path/to/your/files with the actual path to your local MCP client configuration.
Direct API Access
You can also access the MCP server directly via HTTP APIs:
GET /mcp/resources
List Files
Retrieve a list of all available files with metadata
POST /mcp
MCP Protocol
Send MCP protocol requests (resources/list, resources/read)
GET /mcp/resources/{filename}
Read File
Direct access to read specific file content
File Browser
Browse and access all files available through your MCP server. Files uploaded to apiUI are automatically made available via MCP.
Available Files
Loading available files...
Navigation
Home
Landing page and overview
My APIs
Manage and generate APIs
Data Editor
Excel-like interface for editing API data
Socket Chat
Natural language queries for your APIs
API Docs
Interactive API documentation and testing
API Hub
Browse available API integrations
Analytics
Monitor API performance and usage
Documentation
Complete platform documentation
MCP Server
Model Context Protocol file access