CB Insights MCP Server

The CBI MCP Server provides an interface for developers to interact with CB Insights ChatCBI LLM through AI Agents.

Tools

ChatCBI

Send a message from an agent to ChatCBI and return the response.

Input parameters:
- message: The content of your message to ChatCBI
- chatID(optional): A unique identifier for the chat session, obtained from a previous response. If included, the conversation is continued. Otherwise, a new conversation is started.
Returns JSON object containing the following fields:
- chatID: Identifies the conversation. If chatID was provided in the request, this will be the same.
- message: ChatCBI response to the message.
- relatedContent: List of related references.
- sources: List of sources used to generate the response.
- suggestions: List of suggested follow-up questions.
- title: Title of the chat
For more information see Using ChatCBI

Setup

The CBI MCP Server uses uv to manage the project.

Environment variables are set via the .env file:

CBI_CLIENT_ID & CBI_CLIENT_SECRET OAuth Client ID and Secret
- see CB Insights API Authentication for usage and how to obtain them
CBI_MCP_TIMEOUT (default: 120)
CBI_MCP_PORT (default: 8000)

Usage

With Claude Desktop

Update the claude_desktop_config.json file using the following command:

mcp install server.py

This will add the following configuration:

{
  "mcpServers": {
    "cbi-mcp-server": {
      "command": "/path/to/.local/bin/uv",
      "args": [
        "--directory",
        "/path/to/cloned/cbi-mcp-server",
        "run",
        "server.py"
      ]
    }
  }
}

Debugging

The inspector can be used to test/debug your server.

mcp dev server.py

More info on using the inspector

CB Insights