Spec Score MCP

Score your specs before feeding them to an LLM. MCP server with radar chart visualization.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "spec-score-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "spec-score-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Spec Score MCP

Score your specs before Claude builds from them.

A balanced spec produces balanced code. An unbalanced spec produces creative fiction.

The problem

When your spec is detailed on some axes but vague on others, Claude doesn't ask for clarification — it fills in the blanks. The result compiles, the tests pass, but it's not what you meant.

This tool catches that before you start building. It scores your spec on 4 axes, tells you which one is weakest, and gives you a concrete tip to fix it.

4 axes

Axis	Question it answers
completeness	Can Claude understand the full scope of what to build?
clarity	Is there only one way to interpret this spec?
constraints	Does Claude know what NOT to build?
specificity	Are there concrete, testable details?

Each axis scores 0.0 to 1.0. The balance score measures how evenly the 4 axes are covered.

Balance matters more than individual scores. A spec scoring 0.50 on all 4 axes (balance: 0.97) will produce better output than one scoring 0.95 / 0.95 / 0.20 / 0.90 (balance: 0.58). Why? That one weak axis — constraints at 0.20 — is exactly where Claude will improvise. You described what to build in detail, but forgot to say what's out of scope. So Claude builds everything you asked for, plus features you didn't.

On the radar chart: an even diamond beats a sharp spike.

Verdicts

Verdict	What it means
SHIP IT	Spec is ready — Claude knows what to build and what not to
ALMOST	One axis needs a small fix before you start
DRAFT	Multiple axes need work, but the structure is there
VAGUE	Well-organized but too abstract to act on
UNBOUNDED	Clear goal but no boundaries — Claude will over-build
OVER-CONSTRAINED	Lots of rules but unclear what the actual goal is
SKETCH	Starting point — needs detail on most axes

Not SHIP IT yet? The tool tells you which axis is weakest and what to add. Fix that axis, re-score, repeat. Most specs reach SHIP IT in 2-3 rounds.

Install

bash

git clone https://github.com/openpoem/spec-score-mcp.git
cd spec-score-mcp && npm install && npm run build
claude mcp add spec-score -- node $(pwd)/dist/mcp.js

The 3 tools are now available in every Claude Code session.

Usage

Slash commands

Clone this repo to get the built-in slash commands:

Code

/project:scan my-feature-spec.md

Reads the file, scores it, and writes a my-feature-spec.md.scored.md with scores, verdict, tip, and a radar chart.

Code

/project:compare blueprint.md implementation.md

Scores both files and writes a compared.scored.md with side-by-side radar charts.

Direct tool use

The 3 MCP tools work in any Claude Code conversation:

Tool	What it does
`spec_score`	Scores a spec on 4 axes, returns balance score and verdict
`spec_visualize`	Generates an SVG radar chart from scores
`spec_compare`	Side-by-side comparison of two scored specs

Ask Claude: "Score this spec", "Show me the radar chart", or "Compare these two specs".

Example: from UNBOUNDED to SHIP IT

This tool scoring its own spec — four rounds, each fixing the weakest axis:

From UNBOUNDED to SHIP IT

Round 1: the idea

Build a spec scoring tool

Code

UNBOUNDED  0.12  Tip: What does 'scoring' mean? What axes? What output?

One axis is high (clarity — the goal is clear), everything else is near zero. Claude would build... anything. A web app? A CLI? A VS Code extension? No way to know.

Round 2: add context

Build an MCP server that scores specs on 4 axes: completeness, clarity, constraints, specificity. Each axis is 0.0-1.0. Returns a balance score and verdict.

Code

ALMOST  0.67  Tip: What are the verdicts? What does the tool NOT do?

Now Claude knows what to build. But constraints are still weak — it might add auto-fixing, CI integration, a database.

Round 3: add boundaries

Three tools: spec_score, spec_visualize, spec_compare. Non-goals: no auto-fixing, no CI integration, no storage.

Code

SHIP IT  0.84  Tip: Add testable criteria — what balance maps to which verdict?

Crossed the threshold. Claude now knows what to build AND what not to build. Specificity is still the weakest axis.

Round 4: add testable details

Balance = 1 - sqrt(variance)/mean. SHIP IT > 0.75, ALMOST > 0.60, plus pattern-based verdicts. Node.js, MCP SDK, stdio transport.

Code

SHIP IT  0.95  Spec is ready for implementation.

Four rounds: 0.12 → 0.67 → 0.84 → 0.95. Each round fixed exactly one thing.

The math

Claude scores each axis (0.0 - 1.0)
Normalize the vector: v / ||v||
Balance: 1 - sqrt(variance) / mean
Verdict: balance threshold + axis pattern matching

The scoring intelligence comes from Claude, not from the algorithm. The algorithm only measures balance.

Project structure

Code

src/
  mcp.ts        # MCP server (3 tools)
  score.ts      # Scoring engine
  visualize.ts  # SVG radar charts
.claude/
  commands/
    scan.md     # /project:scan command
    compare.md  # /project:compare command

OpenPoem — spec-score-mcp

MIT License.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

3mo ago

Most recent push to the default branch.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Spec Score MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "spec-score-mcp": { "command": "npx", "args": ["-y", "spec-score-mcp"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

31Quality signal: Emerging · 31/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools11/30

Adoption & activity2/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Spec Score MCP →Install in Claude Desktop Install in Cursor Install in VS Code

Spec Score MCP

Score your specs before feeding them to an LLM. MCP server with radar chart visualization.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "spec-score-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "spec-score-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Spec Score MCP

Score your specs before Claude builds from them.

A balanced spec produces balanced code. An unbalanced spec produces creative fiction.

The problem

When your spec is detailed on some axes but vague on others, Claude doesn't ask for clarification — it fills in the blanks. The result compiles, the tests pass, but it's not what you meant.

This tool catches that before you start building. It scores your spec on 4 axes, tells you which one is weakest, and gives you a concrete tip to fix it.

4 axes

Axis	Question it answers
completeness	Can Claude understand the full scope of what to build?
clarity	Is there only one way to interpret this spec?
constraints	Does Claude know what NOT to build?
specificity	Are there concrete, testable details?

Each axis scores 0.0 to 1.0. The balance score measures how evenly the 4 axes are covered.

On the radar chart: an even diamond beats a sharp spike.

Verdicts

Verdict	What it means
SHIP IT	Spec is ready — Claude knows what to build and what not to
ALMOST	One axis needs a small fix before you start
DRAFT	Multiple axes need work, but the structure is there
VAGUE	Well-organized but too abstract to act on
UNBOUNDED	Clear goal but no boundaries — Claude will over-build
OVER-CONSTRAINED	Lots of rules but unclear what the actual goal is
SKETCH	Starting point — needs detail on most axes

Not SHIP IT yet? The tool tells you which axis is weakest and what to add. Fix that axis, re-score, repeat. Most specs reach SHIP IT in 2-3 rounds.

Install

bash

git clone https://github.com/openpoem/spec-score-mcp.git
cd spec-score-mcp && npm install && npm run build
claude mcp add spec-score -- node $(pwd)/dist/mcp.js

The 3 tools are now available in every Claude Code session.

Usage

Slash commands

Clone this repo to get the built-in slash commands:

Code

/project:scan my-feature-spec.md

Reads the file, scores it, and writes a my-feature-spec.md.scored.md with scores, verdict, tip, and a radar chart.

Code

/project:compare blueprint.md implementation.md

Scores both files and writes a compared.scored.md with side-by-side radar charts.

Direct tool use

The 3 MCP tools work in any Claude Code conversation:

Tool	What it does
`spec_score`	Scores a spec on 4 axes, returns balance score and verdict
`spec_visualize`	Generates an SVG radar chart from scores
`spec_compare`	Side-by-side comparison of two scored specs

Ask Claude: "Score this spec", "Show me the radar chart", or "Compare these two specs".

Example: from UNBOUNDED to SHIP IT

This tool scoring its own spec — four rounds, each fixing the weakest axis:

From UNBOUNDED to SHIP IT

Round 1: the idea

Build a spec scoring tool

Code

UNBOUNDED  0.12  Tip: What does 'scoring' mean? What axes? What output?

One axis is high (clarity — the goal is clear), everything else is near zero. Claude would build... anything. A web app? A CLI? A VS Code extension? No way to know.

Round 2: add context

Build an MCP server that scores specs on 4 axes: completeness, clarity, constraints, specificity. Each axis is 0.0-1.0. Returns a balance score and verdict.

Code

ALMOST  0.67  Tip: What are the verdicts? What does the tool NOT do?

Now Claude knows what to build. But constraints are still weak — it might add auto-fixing, CI integration, a database.

Round 3: add boundaries

Three tools: spec_score, spec_visualize, spec_compare. Non-goals: no auto-fixing, no CI integration, no storage.

Code

SHIP IT  0.84  Tip: Add testable criteria — what balance maps to which verdict?

Crossed the threshold. Claude now knows what to build AND what not to build. Specificity is still the weakest axis.

Round 4: add testable details

Balance = 1 - sqrt(variance)/mean. SHIP IT > 0.75, ALMOST > 0.60, plus pattern-based verdicts. Node.js, MCP SDK, stdio transport.

Code

SHIP IT  0.95  Spec is ready for implementation.

Four rounds: 0.12 → 0.67 → 0.84 → 0.95. Each round fixed exactly one thing.

The math

Claude scores each axis (0.0 - 1.0)
Normalize the vector: v / ||v||
Balance: 1 - sqrt(variance) / mean
Verdict: balance threshold + axis pattern matching

The scoring intelligence comes from Claude, not from the algorithm. The algorithm only measures balance.

Project structure

Code

src/
  mcp.ts        # MCP server (3 tools)
  score.ts      # Scoring engine
  visualize.ts  # SVG radar charts
.claude/
  commands/
    scan.md     # /project:scan command
    compare.md  # /project:compare command

OpenPoem — spec-score-mcp

MIT License.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

3mo ago

Most recent push to the default branch.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Spec Score MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "spec-score-mcp": { "command": "npx", "args": ["-y", "spec-score-mcp"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

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Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/spec-score-mcp?style=directory)](https://allmcps.com/mcp/spec-score-mcp)

HTML Embed

<a href="https://allmcps.com/mcp/spec-score-mcp"><img src="https://allmcps.com/api/badge/spec-score-mcp?style=directory" alt="Spec Score MCP on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

31Quality signal: Emerging · 31/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools11/30

Adoption & activity2/15

Community engagement0/10

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Spec Score MCP →Install in Claude Desktop Install in Cursor Install in VS Code