abhigyan-shekhar/waggle-mcp

0

/ 100

Documentation90
Engineering98
Health100
Python22Apache-2.01d ago
Grade a repo

Well engineered for its size. A portfolio piece worth showing off.

MCP server for external memory layer for AI agents + more . Download from pypi , and get started

Outstanding. A score of 96/100 puts this repo in a very small tier of truly well-engineered projects.

Documentation

90

README12pt80

README is present.

Install and run instructions9pt90

README documents how to install the project.

License6pt100

Licensed under Apache-2.0.

Contributing guide5pt100

Contributing guide is detailed and thorough.

Engineering

98

Reproducibility6pt80

Lockfile present (apps/mcp/claude-desktop-extension/package-lock.json). Installs are reproducible.

Tests18pt100

Test files detected (apps/mcp/graph-ui/tests).

CI/CD14pt100

CI is configured (.github/workflows/check-label-refs.yml).

Linting and formatting5pt100

Linter or formatter configured ([tool.ruff] / [tool.black] in pyproject.toml).

Issue and PR templates6pt100

Issue or PR templates present.

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)
  • 103
    Forks
  • 5
    Releaseslatest 1mo ago

Community

  • —
    Community health
  • —
    authors own >50% of commits
  • 22
    Watchers

Responsiveness

  • 5h
    Median issue response
  • 19h
    Median PR merge time
  • 180
    Open issues
Repository files36 root entries
  • .agents
  • .codex-plugin
  • .github
    Good: CI is configured (.github/workflows/check-label-refs.yml).
    Good: Issue or PR templates present.
  • apps
    Good: Test files detected (apps/mcp/graph-ui/tests).
    Good: Lockfile present (apps/mcp/claude-desktop-extension/package-lock.json). Installs are reproducible.
  • assets
  • deploy
  • docs
  • examples
  • plugins
  • scripts
  • src
  • templates
  • tests
  • third_party
  • .dockerignore
  • .gitignore
    Good: .gitignore present.
  • .mcp.json
  • .pre-commit-config.yaml
  • AGENTS.md
  • CHANGELOG.md
  • CODE_OF_CONDUCT.md
    Good: Code of conduct present.
  • CONTRIBUTING.md
    Good: Contributing guide is detailed and thorough.
    Good: Contributing guide includes setup/install instructions.
    Good: Contributing guide describes code style expectations.
    Good: Contributing guide explains how to run tests.
    Good: Contributing guide describes the PR/review workflow.
    Good: Contributing guide includes code examples.
  • docker-compose.prod.yml
  • docker-compose.yml
  • Dockerfile
    Good: Environment pinned via Dockerfile.
  • glama.json
  • LICENSE
    Good: Licensed under Apache-2.0.
  • llms-install.txt
  • MANIFEST.in
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Issue: No screenshots or images in the README (−20 pts).Fix: Add a GIF, screenshot, or logo image. It is the fastest way to show what your project does.
    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.
  • render.yaml
  • SECURITY.md
    Good: Security policy present.
  • server.json
  • smithery.yaml
  • SUPPORT.md