Evaluation report
Warningspal-mcp-server · mcp7afc7c1· 3 months ago
Every check MetaHub ran on this artifact, grouped by area. Static checks run on the source at publish time; behavioral checks run the artifact in a sandbox and judge what it actually does.
Structural
5 passedRepository is reachable
https://github.com/BeehiveInnovations/pal-mcp-server @ 7afc7c1 — ★ 11,648 · Python · NOASSERTION · last push 7 months ago
Manifest detected
kind=mcp slug=pal-mcp-server · source=pyproject.toml
Slug is URL-safe
"pal-mcp-server" matches /^[a-z0-9][a-z0-9-]{0,62}$/
Slug is unique within kind
No collision found for mcp/pal-mcp-server
Version is semver
9.8.2
Documentation
3 passed2 warningsDescription qualitywarn
Only 7 words · 51 chars — more detail helps discovery
Tell consumers what this artifact does in a full sentence.
Tags / topics declaredwarn
No manifest tags and no GitHub repo topics
Add tags to the manifest (or GitHub topics on the repo) so the registry's search and category filters surface this artifact.
README is present and substantial
21,081 chars · 11 sections · 10 code blocks
README has usage / example sections
found: Quick Start · Example · Example
Homepage / docs URL declared
no homepage declared (registry will use the repo URL) — info-only, not blocking
Safety
2 passedLICENSE file at repo root
LICENSE
No sensitive files in the repo
scanned for .env, credentials.json, *.pem, .ssh/, AWS / GCP configs — none found
Kind-specific
4 passedMCP: launch path
launch declared in pyproject.toml
MCP: @modelcontextprotocol/sdk in dependencies
non-Node server (pyproject.toml) — uses its language's MCP SDK
MCP: ESM package
non-Node server (pyproject.toml) — n/a
MCP: server surface
0 tools
Maintenance
2 passed1 warningRecent activitywarn
last push 7 months ago — looks slowing down
Consumers prefer artifacts that are actively maintained (threshold: 90 days, configurable via EVAL_RECENCY_PASS_DAYS).
Tests detected
1 test directory · 138 test files
CI configuration detected
GitHub Actions (5 workflows)
Behavioral
This artifact hasn't produced behavioral results yet: the evaluation sandbox couldn't run it (it may need credentials we don't provide, or a build our environment doesn't support). That's a limitation of our environment, not a verdict on the artifact.