What is Cbi Mcp Server

The cbi-mcp-server is a server developed by CB Insights that provides an interface for developers to interact with the ChatCBI LLM through AI Agents.

Use cases

Use cases for the cbi-mcp-server include developing chatbots for customer service, creating interactive AI agents for educational purposes, and integrating AI capabilities into existing applications for enhanced user engagement.

How to use

To use the cbi-mcp-server, set up the environment by configuring the .env file with the necessary authentication credentials and port settings. Start the server using the command specified in the claude_desktop_config.json file.

Key features

Key features of the cbi-mcp-server include the ability to send messages to the ChatCBI AI chatbot, maintain conversation continuity with unique chat IDs, and receive detailed responses including related content and suggestions for further exploration.

Where to use

The cbi-mcp-server can be used in various fields such as customer support, virtual assistance, and any application requiring natural language processing and AI-driven interactions.

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