surendranb/google-analytics-mcp
Grade a repo

0

/ 100

GradeF

Popular for its size, but the engineering basics lag behind the interest.

Google Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to website traffic, user behavior, and performance data with schema discovery, server-side aggregation, and safe defaults that reduce data wrangling.

Documentation82
Engineering25
Health100
Python222Apache-2.0today

Documentation

82

Contributing guide5pt0

No CONTRIBUTING.md found (−47 pts base + up to −53 pts more for content).

→ Add a CONTRIBUTING.md telling newcomers how to get involved. Include setup, code style, test, and PR instructions.

Install and run instructions9pt90

README documents how to install the project.

README12pt100

README is present.

License6pt100

Licensed under Apache-2.0.

Engineering

25

Tests18pt0

No tests detected anywhere in the repository.

→ Add automated tests. They prove the code works and give contributors confidence to make changes.

Linting and formatting5pt0

No linter or formatter configured.

→ Add [tool.ruff] to pyproject.toml. Ruff handles linting and formatting in one tool and replaces flake8, isort, and black.

Issue and PR templates6pt0

No issue or PR templates found (−100 pts).

→ Add .github/ISSUE_TEMPLATE/ with bug_report.md and feature_request.md to guide contributors. It dramatically improves issue quality.

CI/CD14pt57

CI is configured (.github/workflows/package-checks.yml).

Reproducibility6pt70

Lockfile present (requirements.txt). Installs are reproducible.

Project health

100

Dependency manifest6pt100

Dependency manifest found (pyproject.toml).

Repository metadata5pt100

Repository has a description.

Activity5pt100

Actively maintained (pushed within the last month).

Housekeeping3pt100

.gitignore present.

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • -
    Commits (30d / 90d)
  • 45
    Forks
  • 2
    Releaseslatest 3mo ago

Community

  • -
    Community health
  • -
    authors own >50% of commits
  • 222
    Watchers

Responsiveness

  • 7d 12h
    Median issue response
  • -
    Median PR merge time
  • 8
    Open issues
Repository files14 root entries
  • .github
    Good: CI is configured (.github/workflows/package-checks.yml).
  • ga4_mcp
  • scripts
  • .gitignore
    Good: .gitignore present.
  • CHANGELOG.md
  • claude-config-template.json
  • LICENSE
    Good: Licensed under Apache-2.0.
  • logo.png
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Good: README includes screenshots or visuals. Great for first impressions.
    Good: README has code examples.
    Good: README links to a live demo or deployed app.
    Good: README includes status badges.
    Good: README documents how to install the project.
    Good: README documents how to run the project.
  • RELEASING.md
  • requirements.txt
    Good: Lockfile present (requirements.txt). Installs are reproducible.
  • server.json
  • test_cases.md