token-savior MCP Server
Mibayy/token-savior
MCP server that gets Claude to 97.9% (188/192) on a real coding benchmark at -80% active tokens and -83% wall time, vs 78.3% plain. Structural code navigation + persistent memory engine. Works with every MCP client.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Mibayy/token-savior is a Python MCP server licensed under MIT. MCP server that gets Claude to 97.9% (188/192) on a real coding benchmark at -80% active tokens and -83% wall time, vs 78.3% plain. Structural code navigation + persistent memory engine. Works with every MCP client.
Ranked #120 out of 24850 indexed tools.
In the top 1% of all indexed tools.
Has 1,157 GitHub stars.
Ecosystem
Score Breakdown
1,157 stars → well-known project
Last commit 1mo ago → moderate activity
52/54 issues closed → responsive maintainer
9 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
<div align="center"> # Token Savior > One MCP server. One profile. **97.9% on tsbench at -80% tokens.** > Structural code navigation, persistent memory, and Bash command rewriting for AI coding agents. **[mibayy.github.io/token-savior](https://mibayy.github.io/token-savior/)** -- project site + benchmark landing Benchmark source + fixtures: not currently published (see *Reproducing the score* below) --- ### Benchmark -- 96 real coding tasks (Claude Opus 4.7, May 2026) | | Plain Claude Code | With Token Savior | |---|---:|---:| | **Score** | 141 / 180 (78.3%) | **188 / 192 (97.9%)** | | **Active tokens / task** | 17 221 | **3 395** (-80%) | | **Wall time / task** | 110.6 s | **18.9 s** (-83%) | Reproduces with the `optimized` profile (single env var). The harness that produced these numbers is described below; its repository is not public at the moment, so take the figures as reported rather than as independently verifiable. **A re-measurement was published here on 2026-08-09 anRead full README on GitHub →
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