MCP Connector

Connect to CB Insights MCP

Self-hosted pass-through to CB Insights' ChatCBI LLM - deprecated as of January 2026 in favor of CB Insights' fully supported hosted MCP server.


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Updated 6 months ago
Version 1.0.0
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Why it matters

Integrate with the CB Insights MCP Server to leverage its capabilities for content discovery and summarization. Access structured responses and related content for enhanced research.

Outcomes

What it gets done

01

Interact with the ChatCBI interface.

02

Retrieve related content and sources.

03

Generate summaries of information.

04

Facilitate web searches for relevant data.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-cb-insights | bash

Overview

CB Insights MCP Server

A deprecated self-hosted MCP pass-through to CB Insights' ChatCBI LLM, superseded by CB Insights' officially supported hosted MCP server. Do not build new integrations on this - use CB Insights' officially supported hosted MCP server at mcp.cbinsights.com instead.

What it does

The CBI MCP Server provides an interface for developers to interact with CB Insights' ChatCBI LLM through AI agents. It exposes one tool, ChatCBI, which sends a message to ChatCBI and returns the response. Passing an optional chatID from a prior response continues that conversation; omitting it starts a new one. The response is a JSON object containing chatID, message (ChatCBI's answer), relatedContent (related references), sources used to generate the answer, suggestions for follow-up questions, and the chat's title.

mcp install server.py

When to use - and when NOT to

Important: this repository is explicitly deprecated as of January 2026. CB Insights now offers a fully supported MCP server at mcp.cbinsights.com, usable programmatically or through clients like ChatGPT, Claude, and Microsoft Copilot - new integrations should use that instead.

If still running this self-hosted example, it fits developers who want a simple pass-through to ChatCBI for market/company research queries, continuing multi-turn conversations via chatID.

Do NOT start a new project on this deprecated example server when CB Insights' officially supported hosted alternative is available.

Inputs and outputs

Inputs are a message string and an optional chatID to continue a prior conversation; outputs are ChatCBI's response text plus related content, sources, and suggested follow-up questions.

Key tool: ChatCBI(message, chatID).

Integrations

CB Insights' ChatCBI LLM via OAuth (CBI_CLIENT_ID, CBI_CLIENT_SECRET). Compatible with Claude Desktop via the mcp install command.

Who it's for

Teams with an existing integration on this deprecated self-hosted example - though new users should adopt CB Insights' officially supported hosted MCP server at mcp.cbinsights.com instead.

Source README

CB Insights MCP Server

Deprecation notice: This repository, serving as an example implementation of a simple self-hosted MCP server that acts as a pass-through to the CB Insights API, is deprecated as of January 2026. CB Insights is pleased to offer a fully supported MCP server at mcp.cbinsights.com, which can be invoked programmatically or through clients like ChatGPT, Claude, and Microsoft Copilot.

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
  • 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

FAQ

Common questions

Discussion

Questions & comments · 0

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