Server data from the Official MCP Registry
Search agent skills ranked by measured lift vs a no-skill baseline, with safety and rankings.
About
Search agent skills ranked by measured lift vs a no-skill baseline, with safety and rankings.
Security Report
This is a well-designed, read-only MCP server for the DecimalAI skills registry with proper authentication handling and no malicious patterns. The codebase demonstrates strong security practices including URL encoding for path traversal prevention, environment variable-based credential handling, and comprehensive input validation. Minor code quality observations around error handling do not impact security posture. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.
7 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: DECIMAL_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"ai-decimal-registry": {
"env": {
"DECIMAL_API_KEY": "your-decimal-api-key-here"
},
"args": [
"decimalai-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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
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