Evaluation report

• Repository is reachable

  https://github.com/lastmile-ai/mcp-agent @ f62d849 — ★ 8,412 · Python · Apache-2.0 · last push 5 months ago

• Manifest detected

  kind=mcp slug=mcp-agent · source=pyproject.toml

• Slug is URL-safe

  "mcp-agent" matches /^[a-z0-9][a-z0-9-]{0,62}$/

• Slug is unique within kind

  No collision found for mcp/mcp-agent

• Version is semver

  0.2.6

• Description quality

  12 words · 91 chars — OK but more detail helps

• README is present and substantial

  35,079 chars · 17 sections · 23 code blocks

• Tags / topics declared

  8 total — agents, ai, ai-agents, llm, llms, mcp (+2)

• README has usage / example sections

  found: Installation · Quickstart · Example

• Homepage / docs URL declared

  no homepage declared (registry will use the repo URL) — info-only, not blocking

• 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

• Recent activitywarn

  last push 5 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 · 132 test files

• CI configuration detected

  GitHub Actions (6 workflows)

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.