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Coding agents · MCP server

Grandet: MCP server, setup and security

Grandet is an MCP server published on GitHub that lets an AI agent find cheaper model APIs and discover available free credits. Its repository has 717 stars and its last commit is from October 19, 2026, but it declares no licence.

Score
64/100
Adoption (stars) 29/40
Maintenance 30/30
Framework (licence, registry, official) 5/30
Actively maintainedNo licenceRemote serverTop 10% by stars

What Grandet does

According to its repository: “Cheapest API for any model across official, inference and relay providers; find free credits”

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. Grandet is listed under Coding agents, a category of 151 servers in the directory, where it ranks #20 by stars.

Topics declared by the repository: api-credits, developer-tools, free-api, free-tier, agent-skills, ai-agents.

Installing and connecting Grandet

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: JavaScript.

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 Grandet:

  • 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 October 5, 2026, the hanzohanzhe/Grandet repository has 717 stars and 65 forks, with 3 open issues. It has more stars than 90% of the servers in the directory. It received changes this month. Version published in the registry: 0.3.0 (October 17, 2026).

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

Serena MCP: the IDE for yourSerena MCP: the IDE for your : 30.7K30.7KRepomixRepomix : 29K29KDesktop CommanderDesktop Commander : 10.1K10.1KOuroborosOuroboros : 6.3K6.3KClaude Code Ultimate GuideClaude Code Ultimate Guide : 6.2K6.2KClaude Code Explorer MCPClaude Code Explorer MCP : 3.4K3.4KArgentArgent : 3.1K3.1KAppllamaAppllama : 3K3KGrandetGrandet : 717717
GitHub stars of the most followed servers in the category (log scale); Grandet in orange. Checked October 25, 2026.

Verdict

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

Strengths

  • Active project: recent commit
  • Widely followed: 717 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 Grandet?

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

Is Grandet free?

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

Is Grandet 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 hanzohanzhe on GitHub. Check who maintains it before giving it access.

What are the alternatives to Grandet?

In the same category: Desktop Commander, Ouroboros, Repomix, and Claude Code Ultimate Guide. Desktop Commander and Ouroboros 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