About CB Insights
CB Insights is an MCP server published by cbinsights in the Developer Tools category: cB Insights' MCP Server.
The repository has 15 stars and 6 forks, with the last commit 9 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/cbinsights/cbi-mcp-serverThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about CB Insights
Powered by Claude · Grounded in docs
Security checks
Static checks derived from the repository yesterday. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- !License declaredNo license file. Legally you have no right to use it in a product.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
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 ChatCBIchatID(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_SECRETOAuth 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
README fetched from the repository yesterday. The original is authoritative.