Skip to main content
The Sari Platform exposes its API capabilities through the Model Context Protocol (MCP), enabling AI agents like Claude Desktop to discover and execute APIs dynamically.

​
What is MCP?

Model Context Protocol (MCP) is an open protocol that standardizes how AI applications connect to external data sources and tools. It provides:
  • Standardized Communication - Consistent interface for tools and resources
  • Context Sharing - Rich context exchange between AI and tools
  • Dynamic Capabilities - Tools and resources can be added or removed on the fly

​
Sari MCP Tools

The Sari MCP Server exposes three tools:

search_api_collections

Search for APIs using natural language queries

get_openapi_spec

Retrieve OpenAPI specifications for a collection

execute_api

Execute API requests against registered collections

​
How It Works

MCP Tool Flow

​
Example Workflow

1

User asks about payments

“I need to process a credit card payment”
2

AI searches for relevant APIs

search_api_collections("payment processing credit card")
→ Stripe Payment API (0.89)
→ PayPal Checkout API (0.82)
3

AI retrieves the API spec

get_openapi_spec("Stripe Payment API")
→ Full OpenAPI specification
4

AI executes the API call

execute_api(
  collection_name="Stripe Payment API",
  method="POST",
  endpoint="/v1/charges",
  request_data='{"amount": 1000, "currency": "usd"}'
)

​
Supported AI Clients

Claude Desktop

Full support via SSE transport or mcp-remote

Other MCP Clients

Any MCP-compatible client can connect

​
Next Steps

Setup Guide

Configure your AI client to connect to Sari

Tools Reference

Detailed documentation for each MCP tool