ClariLayer
mcp-serverNo score yet
Stop re-explaining your data to your AI every session. The individual-analyst context layer, delivered over MCP (Claude Code / Cursor / Codex).
Stars
129
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Δ stars 30d
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Forks
2
Contributors
3
npm DL / wk
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PyPI DL / wk
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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 →
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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.
- What are the best ClariLayer alternatives?
- Closest by category and size in our data: io.github.Dave-London/build, jjsantos01/jupyter-notebook-mcp, ai.smithery/pinkpixel-dev-web-scout-mcp — full list with live signals above.
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Tracked since 2026-06-15 · data as of 2026-06-18 · 0 open issues ·