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

Sends a message from an agent to our AI chatbot and returns the response
Input parameters:
- message:
- chatID: (optional) The unique id of an existing ChatCBI session. Used for continuity in a conversation. If not provided, a new ChatCBI session will be created
Returns object containing the following fields:
- chatID: Unique id of current ChatCBI session
- message: ChatCBI message generated in response to the message send in the input.
- RelatedContent: Content that is related to the content returned
- Sources: Supporting sources for the message content returned
- Suggestions Suggested prompts to further explore the subject matter
For more information, check the ChatCBI Docs

Setup

The CBI MCP Server uses uv to manage the project.

The default port is 8000, but can be modified by updating the CBI_MCP_PORT environment variable in the .env file.

The timeout for requests can also be modified via the CBI_MCP_TIMEOUT variable in the .env file.

Authentication

Documentation on how CB Insights APIs are authenticated can be found here

The server uses the CBI_CLIENT_ID and CBI_CLIENT_SECRET environment variables set in the .env file to authorize requests.

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

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

An interface that allows developers to interact with ChatCBI LLM through AI Agents, providing access to CB Insights' conversational AI capabilities.

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