CB Insights MCP Server

Deprecation notice:

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

Related MCP server: MCP Server for Dify AI

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