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Developer tools · MCP server

Rlg: MCP server, setup and security

Rlg is an open-source MCP server published on GitHub that lets an AI agent filter RustLogs events and summarize errors for operational response workflows. Its repository has 6 stars and its last commit is from October 19, 2026 and it is licensed under Apache-2.0.

Score
58/100
Adoption (stars) 8/40
Maintenance 30/30
Framework (licence, registry, official) 20/30
Actively maintained

What Rlg does

According to its repository: “Log tools for on-call and SRE workflows over rlg (RustLogs) files: tail events by level or target, filter with JSON-path predicates and summarize errors.”

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. Rlg is listed under Developer tools, a category of 475 servers in the directory, where it ranks #429 by stars.

Topics declared by the repository: logging, observability, otlp, rust, structured-logging, tower.

Installing and connecting Rlg

Distribution modes declared in the official MCP registry:

  • Docker (OCI) image

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 Rlg. 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 December 5, 2023, the sebastienrousseau/rlg repository has 6 stars and 0 forks, with 0 open issues. It has more stars than 17% of the servers in the directory. It received changes this month. Version published in the registry: 0.0.15 (October 11, 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 : 26.6K26.6KRlgRlg : 66
GitHub stars of the most followed servers in the category (log scale); Rlg in orange. Checked October 25, 2026.

Verdict

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

Strengths

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

Limitations

  • Few visible users

Frequently asked questions

How do I install Rlg?

Rlg is distributed as Docker (OCI) image. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of sebastienrousseau/rlg.

Is Rlg free?

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

Is Rlg 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?

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

What are the alternatives to Rlg?

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