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UniverCity MCP v0.2.1

Expert business diagnosis engine by CIA — Consultoría de Inteligencia Aplicada.

Analyzes any company across 8 dimensions and returns a Revenue Leak Score with prioritized, triple-option recommendations. Works from Claude, GPT, Gemini, DeepSeek, Cursor — any LLM that speaks MCP.

Architecture

"LLM has EYES, MCP has BRAIN."

The LLM gathers data from the user (the eyes). UniverCity MCP applies CIA consulting expertise (the brain) — ICP detection, dimension scoring, revenue leak estimation, and triple-option recommendations. No scraping. No fixed questionnaire. Each diagnosis is unique.

Tools

Tool Description
univercity_diagnose Full 8-dimension diagnosis. Send company context, get Revenue Leak Score + actions.
univercity_list_industries Returns available industry benchmarks (construction, healthcare, agency, ecommerce, startup, enterprise, generic).

8 Dimensions

digital, operations, supply_chain, talent, financial, leadership, market, regulatory

Triple Option

Every recommendation shows three paths: the best paid tool, the best open source alternative, and the CIA professional service — with prices. Radical transparency.

Quick Start

Install

pip install univercity-mcp

Run (stdio — local)

univercity-mcp

Run (HTTP — remote)

UNIVERCITY_TRANSPORT=streamable-http univercity-mcp --transport streamable-http --port 3792

Claude Desktop config

{
  "mcpServers": {
    "univercity": {
      "command": "uvx",
      "args": ["univercity-mcp"]
    }
  }
}

Remote (Streamable HTTP)

{
  "mcpServers": {
    "univercity": {
      "url": "https://audit.univercityaiconsult.tech/mcp"
    }
  }
}

Environment Variables

Variable Default Description
UNIVERCITY_TRANSPORT stdio Transport: stdio, sse, streamable-http
UNIVERCITY_HTTP_PORT 3792 HTTP port for remote mode
UNIVERCITY_DB_PATH ~/.univercity-mcp/sessions.db SQLite database path
UNIVERCITY_N8N_WEBHOOK (empty) n8n webhook for lead capture
UNIVERCITY_RATE_FREE 5 Free diagnoses per IP per day
UNIVERCITY_LANG es Default language (es/en)

Industry Benchmarks (YAML-driven)

Add an industry = add a YAML file in src/univercity_mcp/domain/diagnosis/benchmarks/. No code changes needed.

Current benchmarks: construction, healthcare, agency, ecommerce, startup, enterprise, generic.

Value Ladder

Free diagnosis → Paid diagnostic ($1K-$5K) → Core implementation ($4K-$25K) → Retainer ($500-$3K/mo) → Bespoke ($30K+)

100% Credit Bridge: audit cost credited if client proceeds within 30 days.

License

Proprietary — CIA (Consultoría de Inteligencia Aplicada). All rights reserved.

Release files for univercity-mcp 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for univercity-mcp 1.0.0
File Size Uploaded
univercity_mcp-1.0.0.tar.gz 231.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for univercity-mcp 1.0.0
File Interpreter ABI Platform
univercity_mcp-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 300.6 kB

Release files / univercity_mcp-1.0.0.tar.gz

Download URL univercity_mcp-1.0.0.tar.gz
Size 231.8 kB
Tags Source
SHA-256 checksum
How to use checksums
943924b64b2950ba2253c25478071f51930872953416ab72488c41cce3afeb2c
BLAKE2b-256 checksum
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b484674fa3569ef7374106c8802b18f61226fe07cc848c178f4aeca6f008086d
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Uploaded via twine/6.1.0 CPython/3.13.12

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Signed by GitHub Actions, verified by PyPI on May 10, 2026.

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Release files / univercity_mcp-1.0.0-py3-none-any.whl

Download URL univercity_mcp-1.0.0-py3-none-any.whl
Size 68.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
557fa95777509cc76c5a5cae7a24a6edd71bf57f8abbe48659679334285cb315
BLAKE2b-256 checksum
How to use checksums
afafc0cc19c714179b7952f21e29598a77fae11278f6ca66c38d1a9c747943f5
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Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 10, 2026.

Transparency log

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This release

1.0.0 This release

2 release files

0.2.1

2 release files

0.2.0

2 release files

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