FindYoPoolBeta
Model Context Protocol (MCP) & OpenAPI 3.1

Connect AI Agents to Bangalore Corporate Mobility

Equip Claude Desktop, Cursor, Gemini, Antigravity, and custom LLM agents to autonomously search, publish, book, and verify carpools and bike-pools across Bangalore tech corridors with zero platform tolls.

View OpenAPI 3.1 SpecAI Plugin Manifest
Stdio & HTTP Transport•0% Platform Tolls•4-Digit PIN Handshake
Private Corporate Identity Token

Generate Personal Agent API Key

Public corridor search is open to all agents. To allow your agent to book seats, post requests, or offer rides under your verified corporate identity, generate an Agent API Key.

Claude Desktop Setup

Add to claude_desktop_config.json

{
  "mcpServers": {
    "findyo-pool": {
      "url": "https://findyo.in/api/mcp",
      "transport": "http"
    }
  }
}

Cursor & Antigravity Setup

Add to .cursor/mcp.json or mcp_config.json

{
  "mcpServers": {
    "findyo-pool": {
      "url": "https://findyo.in/api/mcp"
    }
  }
}

Live MCP Tool Tester

Execute real-time JSON-RPC queries against FindYo Pool MCP endpoints

LangChain / Python Agent SDK

Load FindYo tools directly into AutoGen, CrewAI, or LangChain agents

from langchain_community.tools.openapi import openapi_spec_to_openai_fn
import requests

# Load FindYo Pool OpenAPI 3.1 Tool Definitions
spec = requests.get("https://findyo.in/api/openapi.json").json()
print(f"Loaded {len(spec['paths'])} Bangalore Corporate Carpool tools for AI Agent")