Evaluation report

• Repository is reachable

  https://github.com/MDalamin5/End-to-End-Agentic-Ai-Automation-Lab @ f443f7d — ★ 83 · Jupyter Notebook · MIT · last push 4 weeks ago

• Manifest detected

  kind=mcp slug=test-remote-server · path=11.5-Advanced-MCP-ownMCPs/01-Cloud-mcp-server · source=pyproject.toml

• Slug is URL-safe

  "test-remote-server" matches /^[a-z0-9][a-z0-9-]{0,62}$/

• Slug is unique within kind

  No collision found for mcp/test-remote-server

• Version is semver

  0.1.0

• Description qualitywarn

  Only 4 words · 25 chars — more detail helps discovery

  Tell consumers what this artifact does in a full sentence.

• README is present and substantial

  9,084 chars · 7 sections · 4 code blocks

• Tags / topics declared

  16 total — agentic-ai, agentic-rag, ambient-ai, autogen, deep-agents, docker (+10)

• README has usage / example sections

  no labeled section but 4 code blocks document usage

• Homepage / docs URL declared

  https://www.linkedin.com/in/mdalamin5/

• LICENSE file at repo root

  LICENSE

• No sensitive files in the repo

  scanned for .env, credentials.json, *.pem, .ssh/, AWS / GCP configs — none found

• MCP: 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

• CI configuration detectedwarn

  no CI config found (looked for GitHub Actions, CircleCI, GitLab CI, etc.)

  Add a simple workflow (lint + test on PR) — it tells consumers the artifact is built reproducibly.

• Recent activity

  last push 4 weeks ago

• Tests detected

  3 test directories · 3 test files

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.