Unicorn Screener (candidate MCP)
Candidate MCP tool surface derived from the public keyless Unicorn Screener Agent API. Nobody ships an MCP server today; these tools map 1:1 to the OpenAPI operations an agent can already call over plain HTTP.
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Descriptor
Candidate descriptor · transport
Tools
lookupStartup— Look up an existing startup score and summary (free, no analysis launched).findStartupSuggestions— Resolve a startup name fragment to candidate companies with domains.requestStartupMemo— Request a new asynchronous startup research memo (consumes free allowance).getScreeningStatus— Poll progress for a returned memo slug until a terminal state.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
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Work with this as data
Every MCP server here is available over the APIs.io API and to AI agents over MCP.