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DecimalAI Skills Registry

Official registry Search and web

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

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package decimalai-mcp
Claude Code 
claude mcp add decimalai-skills-registry -e 'DECIMAL_API_KEY=<your decimal_api_key>' -- uvx decimalai-mcp==0.1.3
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "decimalai-skills-registry": {
            "command": "uvx",
            "args": [
                "decimalai-mcp==0.1.3"
            ],
            "env": {
                "DECIMAL_API_KEY": "<your decimal_api_key>"
            }
        }
    }
}

Environment variables

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

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. decimalai-mcp
  2. Install
  3. Claude Code
  4. Claude Desktop
  5. Configuration
  6. Why no check_manifest_impact tool?
  7. Endpoints used (all public)
  8. Development
  9. License

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:

ToolWhat 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 <slug>, 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 varDefaultPurpose
DECIMAL_API_KEY(unset)Optional. Unlocks per-org enrichment (e.g. installed_as) on the same public endpoints.
DECIMAL_API_URLhttps://api.decimal.aiPoint 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

Frequently asked questions

What is DecimalAI Skills Registry?

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

How do I install DecimalAI Skills Registry?

It runs on your machine. In Claude Code: claude mcp add decimalai-skills-registry -e 'DECIMAL_API_KEY=<your decimal_api_key>' -- uvx decimalai-mcp==0.1.3. For other clients, paste the JSON configuration from this page into their MCP settings.

Does DecimalAI Skills Registry need an API key?

Yes. It expects DECIMAL_API_KEY, which you set in its configuration.

Is DecimalAI Skills Registry open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains DecimalAI Skills Registry?

It is published by decimal-labs. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.