Introduction
What is MCP?

What is MCP?

MCP stands for Model Context Protocol—an open standard for connecting AI applications with external tools, data, and services.

Understanding MCP

MCP enables ChatGPT and other AI applications to interact with external systems through a standardized protocol. It allows AI models to:

  • Access Tools - Execute functions and operations in external systems
  • Read Resources - Access data from external sources
  • Use Prompts - Leverage pre-built prompt templates
  • Display UI - Show interactive UI components (Skybridge widgets)

How Findexar Uses MCP

Findexar acts as a bridge between ChatGPT and your backend services using MCP:

Upstream Connectors

Upstream connectors provide MCP endpoints that ChatGPT apps and agents connect to. These are the interfaces that end users interact with through ChatGPT.

When you create an upstream connector in Findexar, you're creating an MCP server that:

  • Exposes tools that ChatGPT can use
  • Handles authentication and user context
  • Manages billing and usage tracking
  • Routes requests to downstream services

Downstream Connectors

Downstream connectors are the backend MCP servers that do the actual work. These can be:

  • Zapier MCP Server - Connect to Zapier automations
  • Make MCP Server - Connect to Make.com workflows
  • n8n MCP Server - Connect to n8n automations
  • OpenAI App SDK MCP - Custom MCP servers built with OpenAI's SDK
  • Custom MCP Servers - Any MCP-compatible service

The Flow

  1. End User interacts with your ChatGPT app or agent
  2. ChatGPT calls tools from your Upstream Connector (Findexar)
  3. Findexar handles authentication, billing, and routing
  4. Findexar calls the appropriate Downstream Connector (your MCP server)
  5. Downstream Connector executes the actual work
  6. Results flow back through Findexar to ChatGPT and the end user

Why This Matters

MCP provides a standardized way for AI applications to interact with external systems. Findexar leverages this standard to provide:

  • Interoperability - Works with any MCP-compatible service
  • Flexibility - Mix and match different downstream connectors
  • Scalability - Handle multiple users and organizations
  • Monetization - Built-in billing and subscription management

Next Steps