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nova.mcp-bcp-counting

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nova.mcp-bcp-counting

MCP Server for BCP Plus complexity counting — 10 functional + 3 non-functional dimensions.

Built on the BCP Plus methodology (CI&T, May 2026). Enables Claude to guide developers through structured complexity estimation during planning or coding sessions in VSCode, Claude Code, and Cursor.

What it does

When a developer asks Claude to count BCP for a story, Claude automatically:

  1. Assesses story maturity — warns if the story is too vague to count reliably

  2. Counts each dimension in isolation — 1 prompt per dimension, reducing cross-dimensional interference (per whitepaper recommendations)

  3. Calculates BCP Plus total — Functional BCP + NFR BCP + NFR Ratio + risk classification

  4. Persists the result — saves to .bcp/counts.json in the project for H/BCP tracking

Related MCP server: Claude Session MCP

Quick start

Prerequisites

  • Node.js ≥ 18

  • One of: VSCode, Claude Code, or Cursor

Install

# Clone and build
git clone https://github.com/danielvm-git/nova.mcp-bcp-counting.git
cd nova.mcp-bcp-counting
npm install
npm run build

# Install for your platform
node dist/installer/install.js --platform vscode       # VSCode
node dist/installer/install.js --platform claude-code  # Claude Code
node dist/installer/install.js --platform cursor       # Cursor

# Or interactive (asks which platform)
node dist/installer/install.js

Use

Open a story file or paste it in the chat, then ask Claude:

Count the BCP Plus for this story.
Decompose this epic into stories and estimate the BCP for each.
Show me the project BCP metrics so far.

The 13 dimensions

Functional (D01–D10) — inherited from BCP open-source release

#

Dimension

CV%

Stability

D01

Business Rules

19.2%

Moderate

D02

Interface Elements

40.1%

High ⚠️

D03

Roles / Permissions

33.2%

High ⚠️

D04

Solution Variabilities

47.1%

Critical 🔴

D05

Boundaries

44.6%

Critical 🔴

D06

Domain Entities

38.6%

High ⚠️

D07

New Domain Entities

24.8%

Moderate

D08

Background Processes

21.4%

Moderate

D09

Notifications

13.5%

Stable ✅

D10

Audits

13.2%

Stable ✅

Non-functional (D11–D13) — BCP Plus exclusive

#

Dimension

CV%

Stability

D11

Quality Attributes

22.5%

Moderate

D12

Security & Compliance

10.5%

Stable ✅

D13

UX & Accessibility

9.8%

Most stable ✅

CV% = coefficient of variation from the 43-story empirical baseline (CI&T Flow team, April 2026).
D04 and D05 are flagged as LOW CONFIDENCE in all outputs — always validate with the team.

Fibonacci scale

Label

Score

XS

1

S

2

M

3

L

5

XL

8

NFR Ratio risk levels

NFR Ratio

Risk

Action

0–15%

Primarily functional

Standard delivery

15–30%

Balanced

Monitor NFR during sprint

30–50%

NFR-heavy 🟡

Architectural spike recommended

>50%

Extreme 🔴

Architectural review required

Available MCP tools

Tool

Description

assess_story_maturity

Score story maturity 1–5 and get expected CV%

list_dimensions

List all 13 dimensions with stability status

get_dimension_guide

Full sizing criteria + per-dimension prompt for a given D-id

count_dimension

Get counting context for a dimension (used by Claude per-dimension)

calculate_bcp_plus

Aggregate scores → Functional + NFR + NFR Ratio + risk

decompose_epic

Get guidance to split an epic into well-sized stories

save_story_count

Persist a count to .bcp/counts.json

get_project_metrics

Read all saved counts and project totals

Story maturity and counting reliability

Story maturity is the strongest predictor of counting accuracy:

Maturity

Expected CV

Recommendation

< 3

~39.5%

⚠️ Do not count — refine first

= 3

~15.5%

Acceptable — flag open items

> 3

~12.2%

✅ Ready to count

A story reaches maturity 3+ when it has:

  • A defined actor

  • Clear acceptance criteria (Given/When/Then)

  • Business value stated

  • Key entities named

Project metrics

After counting stories, BCP data is saved locally in .bcp/counts.json:

{
  "project": "my-project",
  "summary": {
    "story_count": 12,
    "total_bcp": 148,
    "avg_bcp_per_story": 12.3,
    "avg_nfr_ratio_pct": 18.5
  },
  "stories": [...]
}

Use total_bcp + actual delivery hours to compute H/BCP (hours per BCP point) — the key productivity indicator for AI-augmented teams.

Platform config files generated

Platform

File

VSCode

.vscode/mcp.json

Claude Code

via claude mcp add

Cursor

.cursor/mcp.json

References

License

MIT — © CI&T

This server cannot be deployed

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Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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