Leaderboard
Scored on public signals; components with none are listed as Unranked · Formula
Component
Domain
Vertical
| Rank | Score | Component | Description | Evidence | Last commit | Install |
|---|---|---|---|---|---|---|
| 1 | 66.871 | vpursuit-swiplmcp · devops | Provides secure access to SWI-Prolog logic programming through dual query modes with sandboxed execution, dynamic knowledge base management, and… | 9 stars · 4 forks | No one-command install · Source | |
| 2 | 59.029 | deno-code-executormcp · devops | Executes TypeScript and JavaScript code in isolated Deno processes with configurable permissions for secure sandboxed code testing, educational… | 8 stars · 1 fork | No one-command install · Source | |
| 3 | 22.557 | edithatogo-sourcerightmcp · devops | Rust-based reference verification infrastructure for academic writing, agent workflows, and citation processing. | 1 star | No one-command install · Source | |
| 3 | 22.557 | frityet-teal-mcpmcp · devops | Provides sandboxed Lua code execution environments with session management, package installation via LuaRocks, and filesystem operations using Teal's… | 1 star | No one-command install · Source | |
| 5 | Unranked | classroom-mcpmcp · devops | Enables AI assistants to directly operate Google Classroom, including checking submissions, listing students, and creating assignments and… | No signals yet | No one-command install · Source | |
| 6 | Unranked | labbenchmcp · devops | Enables Claude Code to browse coursework, manage user workspaces, run sandboxed tests, post hints, and assign new projects in LabBench. | No signals yet | No one-command install · Source | |
| 7 | Unranked | machine-learning-engineersubagent · devops | Use this agent when you need to deploy, optimize, or serve machine learning models at scale in production environments. | No signals yet | No commit datelisted | armory install machine-learning-engineer --cli claude |
| 8 | Unranked | mle-workflowskill · devops | Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback… | No signals yet | No commit datelisted | armory install mle-workflow --cli claude |
Score colour shows how many signals stand behind it, never how good it is: amber, three or more; dimmer amber, two; grey, one. The Evidence column names them.
Stars, forks and last commit are as GitHub reported them when Armory last read each repository: for most, or later. A repository may have changed since.