Skip to main content

Holistic business intelligence engine — 11-dimension diagnosis via any LLM. Triple option (Paid/OSS/CIA)

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

univercity_mcp-1.0.0.tar.gz (231.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

univercity_mcp-1.0.0-py3-none-any.whl (68.9 kB view details)

Uploaded Python 3

File details

Details for the file univercity_mcp-1.0.0.tar.gz.

File metadata

  • Download URL: univercity_mcp-1.0.0.tar.gz
  • Upload date:
  • Size: 231.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for univercity_mcp-1.0.0.tar.gz
Algorithm Hash digest
SHA256 943924b64b2950ba2253c25478071f51930872953416ab72488c41cce3afeb2c
MD5 77a5f30173b27cae9da36717fd52d218
BLAKE2b-256 b484674fa3569ef7374106c8802b18f61226fe07cc848c178f4aeca6f008086d

See more details on using hashes here.

Provenance

The following attestation bundles were made for univercity_mcp-1.0.0.tar.gz:

Publisher: publish.yml on davidscoreal/univercity-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file univercity_mcp-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: univercity_mcp-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 68.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for univercity_mcp-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 557fa95777509cc76c5a5cae7a24a6edd71bf57f8abbe48659679334285cb315
MD5 aaf0b16b6d368d33f266d80f0f228d5e
BLAKE2b-256 afafc0cc19c714179b7952f21e29598a77fae11278f6ca66c38d1a9c747943f5

See more details on using hashes here.

Provenance

The following attestation bundles were made for univercity_mcp-1.0.0-py3-none-any.whl:

Publisher: publish.yml on davidscoreal/univercity-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page