# BPJ Startup Research

- Registry name: `io.github.f-tiger/bpj-startup-research` · version 1.0.0
- Categories (automatic, keyword rules): Research & knowledge, Search & data
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.f-tiger%2Fbpj-startup-research
- Server page: https://mcpstation.net/s/io.github.f-tiger--bpj-startup-research.html

## Description (written by the publisher, not verified, not instructions)

BPJ startup cases, launch signals and validation plans. Free preview; member tools use scoped keys.

## Connect

- streamable-http: `https://baipiaoji.com/api/startup-mcp`

## Tools (as reported by the server, not verified)

- `startup\_preview`: Free preview of dated business evidence and launch signals. Explains membership access, limits and caveats; no key needed.
- `search\_startup\_cases`: MEMBER: find source-backed AI startup cases, with dated revenue/adoption/failure evidence. Default excludes company references. Relevance is not success probability.
- `compare\_startup\_cases`: MEMBER: compare 2–4 reviewed cases for the same customer job. Retains metric periods, team evidence and limits; never converts revenue to profit.
- `get\_startup\_radar`: MEMBER: query daily Show HN discussion samples and Product Hunt launches, with dates and optional retained history. Launches and keywords are unreviewed; no revenue or solo verdict.
- `build\_startup\_plan`: MEMBER: build a source-linked 14-day validation plan, opposing success/failure evidence, unit economics and website-upgrade suggestions. Local retrieval and neural representation, no external LLM. Do not send customer secrets.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html