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Developer tools · MCP server

Token savior: MCP server, setup and security

Token savior is an open-source MCP server that lets an AI agent navigate and edit code by symbol and analyze structural dependencies. Its repository has 1,189 stars and its last commit is from October 15, 2026 and it is licensed under MIT.

Score
81/100
Adoption (stars) 31/40
Maintenance 30/30
Framework (licence, registry, official) 20/30
Actively maintainedTop 10% by stars

What Token savior does

According to its repository: “Structural code intelligence: navigate and edit code by symbol, with dependency graphs, call chains, dead code detection and structural diffs.”

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. Token savior is listed under Developer tools, a category of 475 servers in the directory, where it ranks #34 by stars.

Installing and connecting Token savior

Distribution modes declared in the official MCP registry:

  • PyPI package (Python, started with uvx or pip)

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

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 Token savior. 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 March 30, 2026, the Mibayy/token-savior repository has 1,189 stars and 106 forks, with 7 open issues. It has more stars than 93% of the servers in the directory. It received changes this month. Version published in the registry: 4.13.0 (July 26, 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 : 26.6K26.6KToken saviorToken savior : 1.2K1.2K
GitHub stars of the most followed servers in the category (log scale); Token savior in orange. Checked October 25, 2026.

Verdict

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

Strengths

  • Active project: recent commit
  • Widely followed: 1.2K stars
  • Listed in the official MCP registry
  • Permissive licence (MIT)

Frequently asked questions

How do I install Token savior?

Token savior is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of Mibayy/token-savior.

Is Token savior free?

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

Is Token savior 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 Mibayy on GitHub. Check who maintains it before giving it access.

What are the alternatives to Token savior?

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