zxhwolfe-dev/aiworkstation-open-source-intelligence

Overview

A Python repository providing an evidence-backed research toolchain for open-source AI projects, including license verification, comparison, and stack planning. It ships as one Claude Skill with nine read-only MCP tools for gathering and cross-checking information without modifying external systems.

Best for

Best for
Developers who want a lightweight, auditable research layer for choosing open-source AI components.

Use cases

• Compare open-source AI projects by license and stack
• Plan technology stacks with verified evidence
• Run read-only research and license checks on AI tooling

Notes

A Python repository providing an evidence-backed research toolchain for open-source AI projects, including license verification, comparison, and stack planning. It ships as one Claude Skill with nine read-only MCP tools for gathering and cross-checking information without modifying external systems.

2 stars on GitHub. Last updated 2026-08-31. Licensed Apache-2.0.

Use cases

• Compare open-source AI projects by license and stack
• Plan technology stacks with verified evidence
• Run read-only research and license checks on AI tooling

Pros

• Read-only MCP tools keep research non-destructive
• Structured skill plus tools for reproducible evidence gathering
• Python-based, easy to inspect and extend

Cons

• Very early-stage project with minimal community validation
• License verification scope limited to what the read-only tools can fetch
• No built-in write or automation capabilities by design

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.