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Gagarin Cloud: MCP server, setup and security

Gagarin Cloud is an open-source MCP server that lets an AI agent deploy applications and manage cloud services, domains, logs and rollbacks. Its repository has 0 stars and its last commit is from October 22, 2026 and it is licensed under MIT.

OfficialActively maintainedRemote server

What Gagarin Cloud does

According to its repository: “Deploy and run apps on gagarin.cloud from your agent: services, Postgres, Qdrant, Valkey and S3 buckets, domains, logs, alerts, rollback and project memory, with deletions waiting for email approval. Remote server with OAuth sign-in.”

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. Gagarin Cloud is listed under Cloud platforms, a category of 116 servers in the directory, where it ranks #107 by stars.

Installing and connecting Gagarin Cloud

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.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Gagarin Cloud. 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 September 17, 2026, the gagarin-cloud/mcp repository has 0 stars and 0 forks, with 0 open issues. It has more stars than 4% of the servers in the directory. It received changes this month. Version published in the registry: 0.3.0 (October 21, 2026).

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

CoderCoder : 17.2K17.2KKubesharkKubeshark : 12.1K12.1KAwslabs MCPAwslabs MCP : 9.8K9.8KMCP server cloudflareMCP server cloudflare : 4.4K4.4KKubefwdKubefwd : 4.2K4.2KSocraticodeSocraticode : 3.4K3.4KKubernetes MCP serverKubernetes MCP server : 2.2K2.2KAzure DevOps (ADO)Azure DevOps (ADO) : 2.1K2.1KGagarin CloudGagarin Cloud : 00
GitHub stars of the most followed servers in the category (log scale); Gagarin Cloud in orange. Checked October 25, 2026.

Verdict

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

Strengths

  • Maintained by the service's own vendor
  • Active project: recent commit
  • Listed in the official MCP registry
  • Usable remotely, without installation
  • Permissive licence (MIT)

Limitations

  • Few visible users

Frequently asked questions

How do I install Gagarin Cloud?

Gagarin Cloud is distributed as a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of gagarin-cloud/mcp.

Is Gagarin Cloud free?

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

Is Gagarin Cloud 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 Gagarin Cloud?

In the same category: MCP server cloudflare, Awslabs MCP, Terraform, and Kubefwd. MCP server cloudflare and Awslabs 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