DecimalAI Skills Registry

Name: DecimalAI Skills Registry
Author: decimal-labs

by decimal-labsversion 0.1.3i★ –iRuns on your computer

Registry nameai.decimal/registry

Install

Overview

Description from the maker (original English)

Search agent skills ranked by measured lift vs a no-skill baseline, with safety and rankings.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: DECIMAL_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: DECIMAL_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "registry": {
      "command": "uvx",
      "args": [
        "decimalai-mcp"
      ],
      "env": {
        "DECIMAL_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add registry --env DECIMAL_API_KEY=your-value -- uvx decimalai-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "registry": {
      "command": "uvx",
      "args": [
        "decimalai-mcp"
      ],
      "env": {
        "DECIMAL_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "registry": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "decimalai-mcp"
      ],
      "env": {
        "DECIMAL_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

DECIMAL_API_KEY secret env
Optional DecimalAI API key (dai_sk_...). All tools work anonymously; the key adds per-org enrichment such as installed_as.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain decimal.ai (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7244 servers in this category
Published to the registry more recently than 32% of the other 7244 servers in this category
Basic checks equal to or better than 100% of the other 7244 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is DecimalAI Skills Registry safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: DECIMAL_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.3) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

decimalai-mcp

*Part of DecimalAI. Most users want the Python SDK → decimal-labs/decimalai-python.*

MCP server for the DecimalAI skills registry — the registry that ranks agent skills by measured effectiveness (verified A/B benchmarks, live pass rates, AI rater scores), not download counts.

Gives any MCP client (Claude Desktop, Claude Code, Cursor, …) three read-only tools:

Tool	What it does
`search_skills(query, category?, sort?, limit?)`	Hybrid keyword/semantic search over the public registry
`get_skill(slug)`	Full record: trust & safety-scan status, verified benchmark lift, SkillScore, ratings, SKILL.md body, and how to install it (`decimalai skills add` , the folder it lands in, and the Claude Code `--plugin-dir` line)
`get_leaderboard(sort?, category?, window_days?, limit?)`	Ranked leaderboard: `skill_score`, `biggest_improvement`, `efficiency`, `top_rated`

No API key required — all three tools read public registry endpoints. If you set DECIMAL_API_KEY (from app.decimal.ai/settings), the same tools additionally show which skills your org has already installed (installed_as).

Install

pip install decimalai-mcp

or, no install needed at config time:

uvx decimalai-mcp

Requires Python 3.10+.

Claude Code

claude mcp add decimalai -- uvx decimalai-mcp

with an API key:

claude mcp add decimalai -e DECIMAL_API_KEY=dai_sk_... -- uvx decimalai-mcp

Claude Desktop

Add to claude_desktop_config.json (Settings → Developer → Edit Config):

"mcpServers": { "decimalai": { "command": "uvx", "args": ["decimalai-mcp"], "env": { "DECIMAL_API_KEY": "dai_sk_optional" } } } }

Omit the env block entirely for anonymous read-only access.

Configuration

Env var	Default	Purpose
`DECIMAL_API_KEY`	(unset)	Optional. Unlocks per-org enrichment (e.g. `installed_as`) on the same public endpoints.
`DECIMAL_API_URL`	`https://api.decimal.ai`	Point at a self-hosted / local backend.

Why no `check_manifest_impact` tool?

The manifest-impact endpoint (POST /api/v1/regression-check) is authenticated on the platform — it analyzes your org's production traces against a candidate manifest, so there is no public variant to expose. This server is deliberately a read-only, key-optional public-registry surface. If demand shows up, an authed check_manifest_impact (requiring DECIMAL_API_KEY) is a natural v0.2 addition; the regression-check GitHub Action covers the CI use-case today.

Endpoints used (all public)

GET /api/v1/registry/skills — browse/search
GET /api/v1/registry/skills/{slug} — detail
GET /api/v1/registry/leaderboard — ranked leaderboard (category filtering falls back to the browse endpoint's documented view=ranks mode, because the leaderboard endpoint is uncategorized)

Development

pip install -e ".[dev]"

pytest # all HTTP mocked; no network python -m decimalai_mcp.server # run over stdio

Run pytest yourself before opening a PR. CI also asserts that the pinned mcp<2 still provides FastMCP, which the mocked tests do not cover — run that one too:

python -c "from mcp.server.fastmcp import FastMCP; import decimalai_mcp.server"

Releases are cut from a published GitHub Release — see RELEASING.md for the gates a change has to pass and the version strings that must move together.

License

MIT

DecimalAI Skills Registry

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

decimalai-mcp

Install

or, no install needed at config time:

Claude Code

with an API key:

Claude Desktop

Configuration

Why no check_manifest_impact tool?

Endpoints used (all public)

Development

License

Why no `check_manifest_impact` tool?