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io.github.shayaShav/flatten-mcp

io.github.shayaShav/flatten-mcp·v1.0.3·Other

Flatten Claude Code sessions: keep every prompt and event verbatim, resume at a lower token count.

Trust verdict · v1 advisory · method
NOT YET SCREENEDno verdict on file

Verdict not yet evaluated for this tool. The semantic screen takes adversarial cases first; coverage rolls out as the corpus expands (15/150 labels to graduation). The deterministic conformance probe is built but has not yet run on the public corpus, so a recorded verdict here is REVIEW or UNVERIFIED, never a clearing ALLOW. Until a verdict is recorded, an agent should treat this tool as not-yet-cleared and fall back to its own checks. Method: the eval, four-state verdict, honest limits.

Own this server? Screen its description →

Environment variables
ANTHROPIC_API_KEY
secret

Optional. If set, token savings are counted exactly via Anthropic's count_tokens endpoint instead of estimated locally.

FLATTEN_COUNT_MODEL

Optional. Model id used for the exact token count (default: claude-haiku-4-5-20251001).

MCP quality score · maturity, not trust · methodology
freshness
25
completeness
20
installability
25
documentation
15
stability
10
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