ClariLayer

mcp-serverStable

Stop re-explaining your data to your AI every session. The individual-analyst context layer, delivered over MCP (Claude Code / Cursor / Codex).

Stars

131

Δ stars 7d

+4

Δ stars 30d

Forks

3

Contributors

3

npm DL / wk

PyPI DL / wk

Language

TypeScript

Last push

2026-06-14

About ClariLayer

The individual-analyst context layer, delivered over MCP. Connect it to Claude Code, Cursor, or Codex — your agent stops making the same data mistakes. A seeded demo warehouse: your agent recalls a saved definition, reconciles it against real results, and the mismatch is flagged as a caveat that's waiting next session. Statuses are asserted / caveat — never "verified". Every new session, your AI coding agent starts from zero about *your* data. So it makes the same mistakes — queries the wrong table, picks the wrong join, counts refunds in…

Read the full README on GitHub →

ClariLayer growth signals this week

Growth score: 23/100 week of 2026-06-29

Acceleration (40%)0
Relative velocity (30%)61
Downloads (20%)0
Activity (10%)47

Signal history

WeekScoreΔ★Signal
2026-06-2923+4Stable
2026-06-1577+9Stable

ClariLayer alternatives

Projects in the same category, closest in size — picked by data, not opinion.

sysplantStable131
mockdStable131

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Frequently asked questions

Is ClariLayer still maintained?
Yes — actively maintained. The last push was on 2026-06-14, with 3 contributors.
Is ClariLayer growing?
It is stable this week, with a growth score of 23/100. See the weekly history above.
What are the best ClariLayer alternatives?
Closest by category and size in our data: io.github.jfarcand/iphone-mirroir-mcp, io.github.dynatrace-oss/Dynatrace-mcp, sysplant — full list with live signals above.

Topics

mcpclaude-codecursorllmmodel-context-protocolai-agentsdata-engineeringcontext-engineeringanalyticsdbt

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Tracked since 2026-06-15 · data as of 2026-07-10 · 0 open issues · 0 releases