原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

llmtrim

作者:fkiene版本 0.13.4i★ –i在你的电脑上运行
注册名称io.github.fkiene/llmtrim

安装

概览

作者提供的说明(英文原文)

MCP server and proxy that compresses LLM prompts, tool output, and replies to cut token cost.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "llmtrim": {
      "command": "npx",
      "args": [
        "-y",
        "@llmtrim/cli",
        "mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add llmtrim -- npx -y @llmtrim/cli mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "llmtrim": {
      "command": "npx",
      "args": [
        "-y",
        "@llmtrim/cli",
        "mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "llmtrim": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@llmtrim/cli",
        "mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 fkiene 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7258 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7258 个服务器的 39% 更新
  • 基础检查结果等于或优于此分类中其他 7258 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

llmtrim 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.13.4)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT今天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

llmtrim

Local proxy that compresses LLM API traffic so you pay less. Same answers, smaller bill.

−31% input · −74% output · −66% round-trip cost · 112 live A/B cases · ~5 ms/call · no model to load

Using Claude Code ? One install also gets you /sub to serve it through CLIProxyAPI.

Proxy · CLI · MCP · library (Python · Ruby · Swift · Kotlin · JS/WASM)

What it does • Install • Day to day • In action • Works with • Claude Code • Numbers • Config • CLI & library


What it does

You run Claude Code, Codex, Cursor, or your own app. Every turn, the tool sends a large request: system prompt, tools, history, raw command output. You pay for every token of that, including the parts that do not help the model.

A 200-line build log with two errors. Tool schemas resent on every call. JSON with hundreds of near-identical rows. That bulk is still billed.

llmtrim sits on your machine as a local proxy, trims the waste, and forwards a smaller request. The reply is unchanged. You keep the same tools and answers; you spend less.

  before:  your tool ───── full request ─────▶  OpenAI / Anthropic / …

◀──────── reply ──────────

after: your tool ──▶ llmtrim ──smaller──▶ OpenAI / Anthropic / … (on your machine) ◀──────── reply ────────── (same answer)

Compression cannot raise your bill or break a request; worst case is zero savings. Everything runs locally, nothing is sent to us. In action →

For Claude Code the same install also wires /sub to route sessions through another subscription. Details →


Get started

npm install -g @llmtrim/cli@latest && llmtrim setup

open a new terminal, then keep working

llmtrim status

That's it. setup starts a local proxy and wires your shell. When Claude Code is present, it also turns on /sub. You do not run a separate install for that.

You wantRun
First installllmtrim setup
New versionllmtrim update (then llmtrim ensure after npm/brew/cargo)
Something brokenllmtrim ensure · llmtrim doctor --fix · or `f` in status

Any tool that honors HTTPS_PROXY works (Claude Code, Codex, Cursor, Aider, your SDK). GitHub Copilot does not (certificate pinning). Full list →

Other installers (Homebrew, curl, Scoop, Cargo, Docker)

# Linux / macOS

curl -fsSL https://raw.githubusercontent.com/fkiene/llmtrim/main/install.sh | sh

Windows (PowerShell)

irm https://raw.githubusercontent.com/fkiene/llmtrim/main/install.ps1 | iex

Package managers

brew install fkiene/tap/llmtrim cargo binstall llmtrim scoop install llmtrim docker run -d -p 43117:43117 -v llmtrim-state:/data ghcr.io/fkiene/llmtrim

Full options: INSTALL.md.

Desktop tray (menu bar / system tray)

Menu-bar / system-tray popover with the same savings numbers. Bundled in Homebrew, Scoop, and npm; setup can enable open-at-login. Open with llmtrim tray. On Linux desktops, interactive ensure can fetch the tray binary from the latest release (needs libwebkit2gtk-4.1 and libayatana-appindicator3).

Is this safe?

Same technique as mitmproxy, scoped to LLM API hosts only. setup changes three things; llmtrim uninstall reverses all three:

  1. Private CA in ~/.llmtrim/ (name-constrained; cannot intercept your bank or email)
  2. Shell env: HTTPS_PROXY + CA trust
  3. Login service: daemon at login

No API keys stored (your tool's auth is forwarded). Prompts never touch disk; only anonymous token counts. Recoverable tool results stay in bounded daemon RAM for five hours by default and disappear on restart. Full threat model: SECURITY.md.

llmtrim ca

openssl x509 -in ~/.llmtrim/ca.pem -noout -text | grep -A3 "Name Constraints"


Day to day

llmtrim status     # savings + health  (aliases: monitor, gain)

llmtrim update # new release, restart daemon, refresh integrations llmtrim ensure # match the recommended install state on this machine

SituationCommand
Watch savingsllmtrim status
After npm / brew / cargo upgradellmtrim ensure (or `f` in status)
Diagnosellmtrim doctor · repair with doctor --fix
Pause / resume proxyllmtrim stop · llmtrim start
Force one session through llmtrimllmtrim wrap claude
Remove everythingllmtrim uninstall

After setup, update, or ensure, owned Claude Code /sub stays in sync with the binary.

Time series: llmtrim status --daily · --weekly · --monthly · --json · --csv.


In action

An agent ran a build. The tool returned 58 lines; two were errors. All 58 would have been billed.

4,662 chars → 978 (−79%). Errors stay verbatim. Repeated INFO lines fold into a template plus the values (lossless when the range is regular).

# before (noise + signal)

[2026-06-13T10:02:00Z] INFO compiling module core::worker::task_0 (incremental) … 28 more near-identical INFO lines … [2026-06-13T10:02:31Z] ERROR src/worker/pool.rs:214: mismatched types: expected usize, found i64 … 25 more INFO lines … [2026-06-13T10:03:01Z] ERROR src/net/conn.rs:88: cannot borrow buf as mutable more than once [2026-06-13T10:03:02Z] INFO build failed, 2 errors

after (errors verbatim; INFO folded losslessly)

[{}] INFO compiling module core::worker::task_{} (incremental) [×30: (10:02:00Z..10:02:29Z step 1s; 0..29)] [2026-06-13T10:02:31Z] ERROR src/worker/pool.rs:214: mismatched types: expected usize, found i64 [{}] INFO compiling module core::net::conn_{} (incremental) [×25: 10:02:32Z..10:02:56Z; 0..24] [2026-06-13T10:03:01Z] ERROR src/net/conn.rs:88: cannot borrow buf as mutable more than once [2026-06-13T10:03:02Z] INFO build failed, 2 errors

Try it on a request body of your own:

echo '{"model":"gpt-4o","messages":[...]}' | llmtrim compress --provider openai

Log folding is one stage. Others kick in on different waste:

WasteWhat happens
Build logs, diffs, grep dumpsKeep errors / changes / matches; fold the rest
Long pasted contextKeep chunks relevant to the question
Source codeKeep useful bodies; rest → signatures
Tool schemas every turnTrim + keep the cache prefix stable
Huge JSON arraysCompact table (TOON) or sample
Verbose model repliesAsk for terser output where safe

[!IMPORTANT]

Compression cannot raise your bill or break a request. Each stage is re-measured with the provider's real tokenizer and undone if it does not save tokens. If the provider rejects the compressed body, the original is resent. Worst case is zero savings.

Existing prompt-cache prefixes (cache_control) are left alone. First-arrival recoverable shaping (llmtrim recall r_…) is off by default; live-zone tool-output windowing still runs, and a re-run of the same tool ships in full. To skip shaping for a command (verbatim stdout, including a terminal trailer), set toolout_passthrough = ["*gpt.sh*"] or prefix the command with LLMTRIM_TOOL_OUTPUT=passthrough. Lines starting with LLMTRIM_KEEP: survive windowing even when the rest is clipped.

All 10 compressors

Stages run in savings order. Nothing under a cache_control marker is rewritten.

StageWhat it doesWhen it runs
tool-outputLossless template fold first, then window logs · diffs · grep · dumps down to errors / changes / matches; opt-in first-arrival recall can restore omitted cache-boundary results with llmtrim recalltool results
cache disciplineMark + stabilize the invariant prefix (sort tools/schema · OpenAI prompt_cache_key) so it stays cachedtools
lexical retrievalBM25+ ranking with RM3 feedback · TextTiling topic cuts · budgeted non-redundant selection; question protectedlong context
skeletonizationtree-sitter keeps relevant function bodies, drops the rest to signatures (14 languages)code
serialize + hygieneMinify JSON, encode record arrays to TOON or CSV, Unicode-normalizealways · lossless
json sampleDown-sample huge record arrays: first/last + outliers + a query-biased diverse samplebig JSON
dedupCollapse duplicate + near-duplicate lines (prose only)always
output controlTerse instruction · Chain-of-Draft · token budget · native JSON schema · anti-overthink directive (quantized reasoning) · agent-loop frugality directiveauto
tool layerStatic tool selection + description trimmingtools
multimodalDownscale images to the provider's resolution capimages

Default auto enables each stage only where it pays. safe is lossless-only. Config →


Claude Code

When ~/.claude exists, setup, update, and ensure wire /sub (and routed subagents). No separate install command for that.

FeatureWhat you get
/subPer-window: `/sub on [optional:codex\kimi\grok] · /sub off · /sub status`

Subscription reroute (sub) (opt-in; may conflict with provider ToS)

Send Claude Code through CLIProxyAPI instead of Anthropic, or as a fallback hop when the current path fails. Login is CLIProxyAPI's TUI; decide for yourself whether that fits the provider ToS.

llmtrim sub on                  # install + start CLIProxyAPI, enable redirect

llmtrim sub on grok # write opus/sonnet/haiku/fable → that CLI's models llmtrim sub auth # CLIProxyAPI TUI — sign in llmtrim sub models # official + live sidecar models llmtrim sub map on opu

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx