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Data platforms · MCP server

ClariLayer: MCP server, setup and security

ClariLayer is an MCP server published on GitHub that lets an AI agent remember, recall and reconcile individual data and engineering context. Its repository has 76 stars and its last commit is from September 17, 2026, but it declares no licence.

Actively maintainedNo licenceRemote server

What ClariLayer does

According to its repository: “Individual-analyst context layer: recall, remember, and reconcile your data and engineering context.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. ClariLayer is listed under Data platforms, a category of 39 servers in the directory, where it ranks #11 by stars.

Topics declared by the repository: ai-agents, analytics, claude-code, context-engineering, cursor, data-engineering.

Installing and connecting ClariLayer

Distribution modes declared in the official MCP registry:

  • remote server (streamable-http): you connect to it by URL, with nothing to install locally

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

Points found for ClariLayer:

  • No licence: without a licence the code is not legally reusable, even if it is public. Avoid it in a company setting without the author's agreement.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on June 8, 2026, the clarilayer/clarilayer repository has 76 stars and 5 forks, with 0 open issues. It has more stars than 61% of the servers in the directory. Last change 1 month ago. Version published in the registry: 0.31.0 (July 30, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

MCP server chartMCP server chart : 4.4K4.4KGitLab MCP Server (zereight)GitLab MCP Server (zereight) : 2.1K2.1KMCP mermaidMCP mermaid : 646646Dbt MCPDbt MCP : 612612WalkerOS FlowWalkerOS Flow : 347347QuackbackQuackback : 329329Search Console MCPSearch Console MCP : 308308MCP echartsMCP echarts : 270270ClariLayerClariLayer : 7676
GitHub stars of the most followed servers in the category (log scale); ClariLayer in orange. Checked October 25, 2026.

Verdict

ClariLayer is still a modest project: read its code and compare it with the alternatives before using it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Usable remotely, without installation

Limitations

  • No licence declared

Avoid if…

  • Company use without the author's agreement

Frequently asked questions

How do I install ClariLayer?

ClariLayer is distributed as a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of clarilayer/clarilayer.

Is ClariLayer free?

The code is public but has no declared licence: it is not formally free to reuse.

Is ClariLayer safe?

Points to watch: no licence. Give it minimum rights and approve sensitive actions.

Is it an official server?

Nothing says so: it is a project published by clarilayer on GitHub. Check who maintains it before giving it access.

What are the alternatives to ClariLayer?

In the same category: MCP server chart, Dbt MCP, GitLab MCP Server (zereight), and WalkerOS Flow. MCP server chart and Dbt MCP score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score