MCP.Market

ClariLayer MCP server

online · 100% uptime
by clarilayer·io.github.clarilayer/clarilayer·v0.31.0·82 stars

Individual-analyst context layer: recall, remember, and reconcile your data and engineering context.

A95/100grade A
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Safety scan
A95/100

full report

Adoption
Growing

82 stars

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ClariLayer tools

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Public scan report

scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 1113ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 7 days ago15/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 95/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How ClariLayer compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
95/100
higher than 97% of 48,255 servers
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
939 ms
faster than 13% of 30,031 servers
GitHub stars
82
more than 95% of 28,688 servers

Install ClariLayer in Claude Code, Cursor or VS Code

claude mcp add --transport http clarilayer https://clarilayer.com/api/mcp/mcp
Add to Cursor

What the publisher says

From the ClariLayer repository's README, as published. We do not edit it. Read it on GitHub

ClariLayer

Your AI should remember how you work. Turn selected past conversations into memory your AI can use across projects and sessions.

Website · Docs · Connect your AI · Quickstart

ClariLayer keeps the facts, preferences, decisions, rules and lessons you choose to carry forward. Connect Claude Code, Cursor, Codex, claude.ai or another compatible remote MCP client. Your AI can recall relevant work context from the selected authorized space, with its source and applicability visible.

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One decision, carried into the next session

You settle a launch decision with your AI:

For the Launch project, show the product demo first. Technical detail belongs in docs. Remember this confirmed decision with its source and project applicability.

In a later session:

Recall the Launch project's saved decisions before drafting the launch page. Show which decision applies and where it came from.

The decision can travel across projects and sessions within the authorized space while retaining its original applicability. A rule for one customer or project stays bounded. If it changes, correct it; if it no longer belongs, use scoped forget or exclusion.

Recall depends on the AI client actually calling the tool. Connecting MCP does not guarantee every answer uses saved context.

Connect your AI

Use Connect your AI for guided setup. Select your client and space, give the setup request to that AI, and complete authentication in the client. Use OAuth when the selected route supports it, or store a context key locally as the fallback. Never paste a key into an AI conversation or a GitHub issue.

Already connected? Choose Update my AI setup on the same page, then run its request in the intended project. This updates one recognized ClariLayer instruction block while preserving your own instructions.

The installed bootstrap obtains the current workflow from getprojectstanza with mode: "runtime" once at the first relevant use in each new AI session. A routine server guidance update then reaches the next session without copying another long workflow into every project.

Optional setup CLI

The npm CLI supports context-key connection setup and a local dbt check. CLI 0.3.0 replaces the embedded Analytics instructions with a request for your connected AI and adds instructions --agent .

Check which version is available before choosing a command:

npm view clarilayer version

With 0.3.0 or later available:

npx clarilayer@latest init
# Already connected? Print only the instruction update request:
npx clarilayer@latest instructions --agent codex

If your registry still serves 0.2.1, use npx clarilayer@0.2.1 init --no-stanza to skip its older embedded instructions, then complete Update my AI setup through the guided setup above. The hosted path is available independently of npm publication.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

ClariLayer: common questions

Is ClariLayer MCP server safe?
Yes, by our scan: it is graded A (95/100). Read the ClariLayer safety report
How do I install ClariLayer?
It runs remotely at clarilayer.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does ClariLayer need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is ClariLayer maintained?
The last commit was 48 days ago (2026-09-17). The latest release is v0.31.0.
Is ClariLayer up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does ClariLayer compare with other MCP servers?
safety score 95/100 (higher than 97% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 939 ms (faster than 13% of 30,031 servers). Full comparison.