iflow-mcp_cbi-mcp-server 0.1.1

MCP Server for interacting with ChatCBI

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