Univercity Mcp
Run an eight-dimension business diagnosis with a Revenue Leak Score and three concrete options per finding inside your agent.
Overview
Univercity MCP is an MCP server for the Validate phase that delivers an 8-dimension business diagnosis, a Revenue Leak Score, and triple-option recommendations to AI agents.
What is this MCP server?
- 8-dimension business diagnosis framework exposed as MCP tools
- Revenue Leak Score for prioritizing fixes with measurable framing
- Triple-option recommendations (three paths per insight) for agent-led decision sessions
- Available as PyPI package univercity-mcp (0.2.1) with stdio and remote streamable-http at mcp.univercityaiconsult.tech
- Repository: github.com/davidscoreal/univercity-mcp
- Server version 0.2.1
- 8 diagnosis dimensions documented in server description
- 2 transport options: stdio (PyPI) and 1 remote streamable-http endpoint
Community signal: 1 GitHub stars.
What problem does it solve?
Founders drown in unstructured advice and cannot quickly see which revenue dimensions leak most or what three realistic moves come next.
Who is it for?
Solo SaaS builders in early validation who want structured business diagnosis inside Claude Code or Cursor before building features.
Skip if: Operators who already have mature BI, audited financials, and no need for heuristic consulting-style scoring.
What do I get? / Deliverables
After a diagnosis run, you get a Revenue Leak Score, dimension-level findings, and three recommended options per issue to narrow validation scope.
- 8-dimension diagnosis output with Revenue Leak Score
- Triple-option recommendation sets per identified leak or gap
- Agent-ready structured findings for follow-on pricing or landing work
Recommended MCP Servers
Journey fit
Validate is where solo founders pressure-test business model fit before committing engineering months; diagnostic MCP tools shelf here as scope and prioritization aids. Scope is the canonical subphase because outputs rank leaks and recommend option triplets that narrow what to build, price, or fix first.
How it compares
Remote and local diagnostic MCP, not a CRM integration or a code review skill.
Common Questions / FAQ
Who is Univercity MCP for?
Indie founders and builder-operators who use MCP agents to stress-test business model leaks before heavy development.
When should I use Univercity MCP?
Use it during Validate when scoping offers, pricing, or fix priorities and you want an 8-dimension score with three options per finding.
How do I add Univercity MCP to my agent?
Install the PyPI package univercity-mcp for stdio, or point your MCP client at the remote URL https://mcp.univercityaiconsult.tech with streamable-http.