MCP Overview
Explore Crunchbase data through your AI assistant or application.
The Crunchbase MCP server connects AI assistants directly to live Crunchbase data. Using the Model Context Protocol, an open standard supported by Claude, ChatGPT, and other AI platforms, your team can research companies, analyze funding activity, and build sourcing lists through natural conversation, with every answer drawn from Crunchbase.
Ready to connect? Jump to Getting Started with MCP.
What you can do
Ask your AI assistant questions supported by the available Crunchbase tools and your account’s access. Some of the ways teams use it:
- Research companies. Ask for a pre-meeting brief on a target and get funding history, leadership, and competitors in one response, sourced from the profile your team already trusts.
- Screen and source at scale. Describe your thesis in plain language ("US fintech companies that raised a seed or Series A between 2026-08-16 and 2026-10-14") and get a filtered list, not a summary of one.
- Analyze funding and investor activity. Trace who's investing in a space, how round sizes are trending, and which portfolios are most active.
- Map market landscapes. Build a view of a segment, assess how crowded or funded it is, and identify the companies your keyword searches would miss.
- Turn research into pipeline. Save results directly to Crunchbase lists for follow-up in the platform. Team access depends on list sharing settings and permissions.
These are just starting points. Because your assistant composes tools freely, workflows we never anticipated work too: combine Crunchbase with your CRM through another connector, monitor a watchlist on a schedule, or enrich a spreadsheet as you build it.
How it works: Expert and structured tools
The server gives your AI assistant two complementary ways to work with Crunchbase data.
Expert tools handle plain language. Ask a question and the expert tools answer it with live data, or translate your description of what you're looking for into a precise Crunchbase search, no query syntax involved. This is the fastest path for exploratory questions and one-off research.
Structured tools offer precision and repeatability. Your assistant can look up a specific company, person, or investor; run exact searches with explicit criteria across stage, geography, dates, amounts, and dozens more fields; and create and manage Crunchbase lists. These are the building blocks for workflows you'll run again and again.
You don't choose between them; your assistant picks the right tool for each request automatically. See the Developer Reference for the full catalog with parameters and examples.
Crunchbase data available through MCP
The MCP server exposes company profiles, funding rounds, people, investors, acquisitions, predictions, and insights through its available tools. Accessible entities, fields, relationships, and limits depend on the signed-in user and the integration arrangement. Discover the live tool schemas and cb_reference metadata; do not assume every REST API operation has a corresponding MCP tool.
Supported AI tools
The server works with Claude (web, desktop, and Claude Code), ChatGPT, Codex, Hermes Agent, Devin, Cursor, VS Code with GitHub Copilot, Perplexity, Google Gemini, Mistral Vibe, and other clients with compatible Streamable HTTP and OAuth support. Setup takes a few minutes; see Connecting AI Tools for step-by-step instructions per client.
Availability
All Crunchbase accounts can connect to the MCP server. Data-token allowances vary by account tier. Sign in with your own Crunchbase account to get started.
Data-token allowance
Retrieving Crunchbase data uses data tokens from your account’s allowance. These are separate from your AI tool’s tokens. See Data Tokens and Usage to understand your allowance and track usage.
Get started
Follow Getting Started with MCP to connect your AI tool and run your first query, or go directly to Connecting AI Tools for your client’s setup instructions.
Building an integration
For application developers, see Building a Crunchbase MCP Integration, Reliability, Errors, and Pagination, and Known MCP Limitations.
Updated 6 days ago

