CB Insights
CB Insights' MCP Server
What is CB Insights?
CB Insights is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to cb insights' mcp server
CB Insights' MCP Server
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- CB Insights' MCP Server
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx cbiConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use CB Insights
The CB Insights MCP Server gives AI agents direct access to CB Insights' ChatCBI intelligence platform, enabling conversational queries against CB Insights' research database covering startups, investors, market trends, and competitive landscapes. Agents can send natural-language questions and receive structured responses that include source references, follow-up suggestions, and conversation context for multi-turn research sessions. It is ideal for analysts, strategists, and investors who want to embed CB Insights market intelligence into AI-driven workflows without switching between tools.
Prerequisites
- Python 3.9+ and the `uv` package manager installed
- A CB Insights account with API access (CBI_CLIENT_ID and CBI_CLIENT_SECRET from the CB Insights API Authentication portal)
- The MCP CLI (`pip install mcp`) for installing and running the server
- An MCP-compatible client such as Claude Desktop
Clone the repository
Clone the CB Insights MCP server repository to your local machine so you can configure and run it.
git clone https://github.com/cbinsights/cbi-mcp-server.git
cd cbi-mcp-serverCreate a .env file with your credentials
Create a .env file in the project root and add your CB Insights OAuth credentials. You can also set optional timeout and port values.
CBI_CLIENT_ID=your_client_id_here
CBI_CLIENT_SECRET=your_client_secret_here
CBI_MCP_TIMEOUT=120
CBI_MCP_PORT=8000Install the server and register it with Claude Desktop
Use the MCP CLI install command to install dependencies and automatically update your Claude Desktop configuration.
mcp install server.pyLaunch for development and testing
Run the server in development mode to test the ChatCBI tool before connecting a full client.
mcp dev server.pyRestart Claude Desktop and verify the connection
Restart Claude Desktop so it loads the updated configuration. You should now be able to ask CB Insights research questions through the ChatCBI tool.
CB Insights Examples
Client configuration
Claude Desktop configuration generated by `mcp install server.py` using uv to run the server script.
{
"mcpServers": {
"cbi": {
"command": "uv",
"args": ["--directory", "/path/to/cbi-mcp-server", "run", "server.py"],
"env": {
"CBI_CLIENT_ID": "your_client_id_here",
"CBI_CLIENT_SECRET": "your_client_secret_here"
}
}
}
}Prompts to try
Example queries you can send to the ChatCBI tool once the server is running.
- "What are the top-funded AI startups in healthcare in 2024?"
- "Who are the main investors in the climate tech space?"
- "Summarize the competitive landscape for B2B SaaS CRM tools"
- "What recent funding rounds happened in the fintech sector this quarter?"
- "Continue our last conversation about cybersecurity market trends"Troubleshooting CB Insights
Authentication fails with invalid credentials
Double-check that CBI_CLIENT_ID and CBI_CLIENT_SECRET are set correctly in your .env file. Obtain valid credentials from the CB Insights API Authentication documentation at cbinsights.com/developer.
Server times out on large queries
Increase the CBI_MCP_TIMEOUT value in your .env file (default is 120 seconds). Complex queries against large datasets may need a higher timeout.
Port conflict when running the server
Change CBI_MCP_PORT in your .env file to an unused port (e.g. 8080). The default is 8000, which may conflict with other local services.
Frequently Asked Questions about CB Insights
What is CB Insights?
CB Insights is a Model Context Protocol (MCP) server that cb insights' mcp server It connects AI assistants to external tools and data sources through a standardized interface.
How do I install CB Insights?
Follow the installation instructions on the CB Insights GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with CB Insights?
CB Insights works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is CB Insights free to use?
Yes, CB Insights is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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