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 |
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/searchGET /api/v1/registry/skills/{slug}— detailGET /api/v1/registry/leaderboard— ranked leaderboard (categoryfiltering falls back to the browse endpoint's documentedview=ranksmode, 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
Release files for decimalai-mcp 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| decimalai_mcp-0.1.3.tar.gz | 16.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| decimalai_mcp-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 29.1 kB
Release files / decimalai_mcp-0.1.3.tar.gz
| Download URL | decimalai_mcp-0.1.3.tar.gz |
|---|---|
| Size | 16.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3b3222eae1129f5c9244dd804d9a840f473bde241e70c3f3f2b9cd0a4272eb76
|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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Signed by GitHub Actions, verified by PyPI on Aug 16, 2026.
Transparency logRelease files / decimalai_mcp-0.1.3-py3-none-any.whl
| Download URL | decimalai_mcp-0.1.3-py3-none-any.whl |
|---|---|
| Size | 12.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
32128a7add5c1690bbd5a1de67fa3104270892763b0da4510efceeaf4100319e
|
|
BLAKE2b-256 checksum How to use checksums |
04dba6b1dbaadf1d4577eb1ab8c88e3ecf1e5b64d6130c1a808ac5a43ae059b2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 16, 2026.
Transparency log