Bay Run vs WhenLabs-org/when
Side-by-side comparison of two Model Context Protocol servers. Pick the right one for Claude Desktop, Claude Code, or Cursor.
Enables agents to discover, evaluate, and serve task-specialist models (embeddings, reranking, classification, extraction) with OpenAI-compatible endpoints and
Developer toolkit: stack detection for AI context files, port conflicts, .env schema validation, docs drift, dependency license audits and task timing.
Comparison
| Feature | Bay Run | WhenLabs-org/when |
|---|---|---|
| Pricing | Free | Free |
| Installs | — | — |
| Rating | — | — |
| Verified | — | — |
| Hosted | Hosted | — |
| Tools | — | — |
| Category | productivity | productivity |
| Author | barneywohl | WhenLabs-org |
| Repo | barneywohl/bay-run | WhenLabs-org/when |
When to pick Bay Run
Enables agents to discover, evaluate, and serve task-specialist models (embeddings, reranking, classification, extraction) with OpenAI-compatible endpoints and MCP tools for routing, embedding, reranking, and extraction.
When to pick WhenLabs-org/when
Developer toolkit: stack detection for AI context files, port conflicts, .env schema validation, docs drift, dependency license audits and task timing.
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