FRENES

Data science and visualization · MCP server

Blatui: MCP server, setup and security

Blatui is an MCP server published on GitHub that lets an AI agent discover, read, and install BlatUI components for Laravel Blade. Its repository has 262 stars and its last commit is from October 24, 2026, but it declares no licence.

Score
59/100
Adoption (stars) 24/40
Maintenance 30/30
Framework (licence, registry, official) 5/30
Actively maintainedNo licenceRemote server

What Blatui does

According to its repository: “shadcn/ui for Laravel Blade — discover, read and install BlatUI components, blocks and charts.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Blatui is listed under Data science and visualization, a category of 48 servers in the directory, where it ranks #13 by stars.

Installing and connecting Blatui

Distribution modes declared in the official MCP registry:

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

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Blade.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

Points found for Blatui:

  • 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 May 29, 2026, the anousss007/blatui repository has 262 stars and 10 forks, with 0 open issues. It has more stars than 81% of the servers in the directory. It received changes this month. Version published in the registry: 1.0.0 (June 8, 2026).

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

Agent Native AnalyticsAgent Native Analytics : 7.5K7.5KGoogle Ads + Meta Ads + SEO/Google Ads + Meta Ads + SEO/ : 5.9K5.9KAsk JevAsk Jev : 5.2K5.2KVizro MCPVizro MCP : 3.8K3.8KShipSwiftShipSwift : 3.2K3.2KMarkdownify MCPMarkdownify MCP : 3K3KSemioticSemiotic : 2.7K2.7KPaperBananaPaperBanana : 2.4K2.4KBlatuiBlatui : 262262
GitHub stars of the most followed servers in the category (log scale); Blatui in orange. Checked October 25, 2026.

Verdict

Blatui is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Widely followed: 262 stars
  • 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 Blatui?

Blatui is distributed as a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of anousss007/blatui.

Is Blatui free?

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

Is Blatui 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 anousss007 on GitHub. Check who maintains it before giving it access.

What are the alternatives to Blatui?

In the same category: Vizro MCP, Agent Native Analytics, Semiotic, and Google Ads + Meta Ads + SEO/GEO MCP. Vizro MCP and Agent Native Analytics score higher on our grid.

Related articles

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