mercury-mcp: Cross-architecture LLM internal observation database (23 models, 13 architecture families). Exposed as MCP tools for any AI coding agent.
Pillar = mean of 2 scaled values = 9.1.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: PyPI monthly installs, SO questions (7d), Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs
[](https://agenttape.com/agents/mercury-mcp)
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| Benchmark | Score | Max | Captured |
|---|---|---|---|
| lmarena | 1205.68 | 1500.00 | 19d ago |