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

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

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)

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" ] } } }

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

mcp dev server.py 

More info on using the inspector