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Developer tools · MCP server

Argot: MCP server, setup and security

Argot is an open-source MCP server published on GitHub that lets an AI agent check agent-written code against patterns from the repository git history. Its repository has 51 stars and its last commit is from October 1, 2026 and it is licensed under MIT.

OfficialActively maintained

What Argot does

According to its repository: “Checks agent-written code against the repo's git-history patterns, flagging foreign dependencies, reinvented functions, misplaced code and gamed tests.”

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. Argot is listed under Developer tools, a category of 475 servers in the directory, where it ranks #259 by stars.

Topics declared by the repository: ci, cli, code-quality, code-review, coding-style, developer-tools.

Installing and connecting Argot

Distribution modes declared in the official MCP registry:

  • npm package (Node.js, usually started with npx)

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: Rust. Listed systems: macOS, Windows, Linux.

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.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Argot. That does not replace reading the code.

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 April 17, 2026, the get-tmonier/argot repository has 51 stars and 3 forks, with 0 open issues. It has more stars than 52% of the servers in the directory. It received changes this month. Version published in the registry: 0.2.127 (August 13, 2026).

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

StorybookStorybook : 91.4K91.4KFront End ChecklistFront End Checklist : 74.6K74.6KTldrawTldraw : 51.1K51.1KCodebase MemoryCodebase Memory : 47.4K47.4KCCXTCCXT : 44.5K44.5KPostHog MCP ServerPostHog MCP Server : 40.4K40.4KClaude task masterClaude task master : 28.3K28.3KAgent Skills Search ServerAgent Skills Search Server : 26.6K26.6KArgotArgot : 5151
GitHub stars of the most followed servers in the category (log scale); Argot in orange. Checked October 25, 2026.

Verdict

Argot is one of the most solid servers in its category: followed, maintained and well framed.

Strengths

  • Maintained by the service's own vendor
  • Active project: recent commit
  • Listed in the official MCP registry
  • Permissive licence (MIT)

Frequently asked questions

How do I install Argot?

Argot is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of get-tmonier/argot.

Is Argot free?

The code is published under the MIT licence and can be used free of charge.

Is Argot safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Yes: the awesome-mcp-servers list marks it as the service vendor's official implementation.

What are the alternatives to Argot?

In the same category: Radar Kubernetes MCP Server, Repowise, Jscpd, and Apify MCP server. Radar Kubernetes MCP Server and Repowise 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