A Model Context Protocol (MCP) server that provides access to Crunchbase data for AI assistants
If you want an AI assistant working directly with Crunchbase, the crunchbase mcp server is the bridge. A Model Context Protocol (MCP) server that provides access to Crunchbase data for AI assistants.
A Model Context Protocol (MCP) server that provides access to Crunchbase data for AI assistants. This server allows AI assistants to search for companies, get company details, funding information, acquisitions, and people data from Crunchbase.
Once connected, the assistant can call this tool directly:
Parameters — - query (optional): Search query (e.g., company name, description)Setup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Before the server will start you need to supply one environment variable: CRUNCHBASE_API_KEY. Keep credentials in your client's env block or a secrets manager rather than committing them.
Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Crunchbase sits in that group, and the shape of its toolset — Parameters — tells you what it is really for. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Parameters | - query (optional): Search query (e.g., company name, description) |
| Variable | Description | Required |
|---|---|---|
| CRUNCHBASE_API_KEY | Credential the server authenticates with. | Yes |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.