FRENES

Code execution · MCP server

Tidewave Rails: MCP server, setup and security

Tidewave Rails is an open-source MCP server published on GitHub that lets an AI agent run Rails code, read logs and query the database. Its repository has 476 stars and its last commit is from September 15, 2026 and it is licensed under Apache-2.0.

Score
67/100
Adoption (stars) 27/40
Maintenance 25/30
Framework (licence, registry, official) 15/30
Actively maintainedSystem access

What Tidewave Rails does

According to its repository: “Runtime-level MCP server for Rails development: run code, read logs, query the DB, read docs.”

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. Tidewave Rails is listed under Code execution, a category of 32 servers in the directory, where it ranks #5 by stars.

Installing and connecting Tidewave Rails

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

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: Ruby.

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 Tidewave Rails:

  • System access: the Code execution category gives the agent control over files, a terminal, code or a browser. A booby-trapped instruction in content the agent reads (prompt injection) can then turn into an action.

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 11, 2025, the tidewave-ai/tidewave_rails repository has 476 stars and 30 forks, with 2 open issues. It has more stars than 87% of the servers in the directory. Last change 1 month ago. Version published in the registry: 0.8.0 (July 24, 2026).

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

Container useContainer use : 4.1K4.1KMATLAB MCP ServerMATLAB MCP Server : 1.7K1.7KLLM SandboxLLM Sandbox : 1.1K1.1KTidewave PhoenixTidewave Phoenix : 858858Tidewave RailsTidewave Rails : 476476SuperserveSuperserve : 466466IPhone UseIPhone Use : 345345OrcaReplayOrcaReplay : 281281
GitHub stars of the most followed servers in the category (log scale); Tidewave Rails in orange. Checked October 25, 2026.

Verdict

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

Strengths

  • Active project: recent commit
  • Widely followed: 476 stars
  • Listed in the official MCP registry
  • Permissive licence (Apache-2.0)

Limitations

  • Install from source

Avoid if…

  • You cannot isolate the agent (sandbox, container)

Frequently asked questions

How do I install Tidewave Rails?

No package is declared in the MCP registry: clone the tidewave-ai/tidewave_rails repository, follow its README, then declare the start command in your client's MCP configuration.

Is Tidewave Rails free?

The code is published under the Apache-2.0 licence and can be used free of charge.

Is Tidewave Rails safe?

Points to watch: system access. Give it minimum rights and approve sensitive actions.

Is it an official server?

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

What are the alternatives to Tidewave Rails?

In the same category: Container use, LLM Sandbox, Tidewave Phoenix, and Superserve.

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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