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.
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mibayy.github.io/token-savior -- project site + benchmark landing Benchmark source + fixtures: not currently published (see Reproducing the score below)
v4.23 in 31 seconds, measured on 2026-10-07 · watch the full video (MP4, sound on)
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A re-measurement was published here on 2026-08-09 and has been withdrawn on
2026-08-10. It reported new-token savings from a small replacement harness.
Those numbers did not measure this server at all: across 143 benchmark
sessions, exactly one called a Token Savior tool. The client running the
harness had MCP deferred-tool loading enabled, so all 18 tools sat behind a
ToolSearch lookup instead of appearing in the model's manifest. The model
never saw them and fell back to Grep and Read — 66 greps, 30 reads, one
MCP call. What varied between the "profiles" was the size of the cached
prefix, not what the agent did.
