Intern Iris MCP Server

Running

Connect your Pega AI Assistant to Intern Iris.

Server Info

MCP Endpoint

https://mcp.pegaenablement.com/mcp

Protocol

Streamable HTTP

Authentication

Pega GitHub identity + X-API-Key

Setup Instructions

Add to .vscode/mcp.json in your project root:

{
  "servers": {
    "mcp-pegaenablement-com": {
      "type": "http",
      "url": "https://mcp.pegaenablement.com/mcp",
      "headers": { "X-API-Key": "<your-api-key>" }
    }
  }
}

Add to ~/.config/opencode/config.json:

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mcp-pegaenablement-com": {
      "type": "remote",
      "url": "https://mcp.pegaenablement.com/mcp",
      "headers": { "X-API-Key": "<your-api-key>" }
    }
  }
}

Add at user level (available across all your projects):

claude mcp add --transport http --scope user \
  --header "X-API-Key: <your-api-key>" \
  mcp-pegaenablement-com https://mcp.pegaenablement.com/mcp

Verify it was added with claude mcp list.

Any MCP-compatible client works — point it at https://mcp.pegaenablement.com/mcp and send your key in the X-API-Key header. Access is limited to Pega team members and is verified against your company GitHub identity.

Available Tools

Intern Iris ask_iris

Intern Iris is a deep researcher and content creator. Ask her a Pega question and she'll dig through documentation, best practices, and knowledge bases to come back with a thorough, well-grounded answer — or to help you create content.

Parameter	Type	Required	Description
question	string	Yes	What you'd like Iris to research or create.
context	string	Yes	Background that helps Iris tailor her answer — what you're working on, what you already know, or any relevant details.

What Next?

Once connected, ask your agent to list available tools — you should see ask_iris. Then try:

Ask Intern Iris to describe Pega Blueprint and its role in Pega application development.