The CB Insights MCP Server enables AI agents to interact with CB Insights' ChatCBI LLM through the Model Context Protocol (MCP) standard for querying business intelligence data.

Key Capabilities:

Send messages to ChatCBI: Submit queries to receive intelligent, AI-generated responses with business insights
Maintain conversation context: Continue existing conversations by providing a chat ID from previous interactions, or start fresh sessions without one
Access comprehensive responses: Receive structured data including the message content, related references, source citations, suggested follow-up questions, and conversation titles
Query business intelligence: Leverage CB Insights' data through natural language queries
Integration & development: Designed for AI agent frameworks with support for testing and debugging using the MCP inspector tool

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

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

CB Insights MCP Server

CB Insights MCP Server

Tools

ChatCBI

Setup

Usage

With Claude Desktop

Debugging

Resources

Tools

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