ATR (Automation for Token Reduction)
Related Servers
Alternatives to ATR (Automation for Token Reduction)
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceA proxy server that wraps existing MCP servers to significantly reduce token consumption by compressing tool descriptions into a two-step interface. It enables users to integrate extensive toolsets without exceeding context limits or incurring high API costs.137Apache 2.0
- AlicenseNot gradedqualityCmaintenanceIntelligent MCP proxy server that reduces context bloat by serving only the tools your AI actually needs through semantic search and a fixed two-tool surface.13MIT
- AlicenseBqualityAmaintenanceMCP proxy that keeps huge tool results out of your AI's context. Put it in front of Playwright MCP, Chrome DevTools MCP or MCP for Blender: big page snapshots become a short table of contents with working refs, long text keeps its head and tail, and the model reads any part on request.27MIT
- AlicenseNot gradedqualityAmaintenanceEnables MCP-compatible developer environments to shrink verbose tool outputs—test logs, git diffs, directory listings, and file dumps—before they reach the context window, preserving compiler errors, failure signatures, and decisive anchors. It runs either as direct callable tools or as a transparent proxy wrapping other MCP servers such as filesystem, git, or terminal providers.1MIT
- AlicenseAqualityCmaintenanceMCP proxy that compresses tool schemas on the fly. Up to 98% token reduction, 100% signal preserved verified after every compression. Zero LLM calls, fully deterministic.53MIT
- AlicenseNot gradedqualityCmaintenanceA local-first MCP server that reduces LLM token usage by intercepting, deduplicating, compressing, and optimizing MCP tool calls and responses.3 npmMIT
TDQS
Scored across 10 tools
Most tools have clearly distinct purposes: discovery, read-only execution, write execution, stashed-result querying, local file reading, code search, repo mapping, diffing, shell running, and stats. There is some potential confusion between atr_read and atr_read_file, and between atr_call and atr_run, but the descriptions mostly clarify the boundaries.
All tools use a consistent atr_ prefix and snake_case naming, which makes the set easy to scan. The only minor deviation is that a few names like atr_repo_map and atr_stats are noun-oriented rather than strict verb_noun forms, but the overall convention is predictable.
Ten tools is well within the appropriate range for this server. Each tool covers a distinct part of the token-reduction workflow, and none appear redundant or trivial.
The set covers tool discovery, read/write execution, stashed result querying, file reading, code search, repo mapping, diff inspection, shell execution, and savings stats, which is strong lifecycle coverage for the stated purpose. Minor gaps exist around explicit stash management or direct local file editing, though agents can likely work around these via shell or connected tools.