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

Vouch

作者:vouchdev版本 1.2.2i★ –i在你的电脑上运行
注册名称io.github.vouchdev/vouch

安装

概览

作者提供的说明(英文原文)

Git-native, review-gated knowledge base for LLM agents. Cited retrieval, audited writes.

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

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 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": {
    "vouch": {
      "command": "uvx",
      "args": [
        "vouch-kb",
        "serve"
      ],
      "env": {
        "VOUCH_KB_PATH": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add vouch --env VOUCH_KB_PATH=your-value -- uvx vouch-kb serve

运行前请先填写空着的值。

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": {
    "vouch": {
      "command": "uvx",
      "args": [
        "vouch-kb",
        "serve"
      ],
      "env": {
        "VOUCH_KB_PATH": "your-value"
      }
    }
  }
}

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": {
    "vouch": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "vouch-kb",
        "serve"
      ],
      "env": {
        "VOUCH_KB_PATH": "your-value"
      }
    }
  }
}

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。

需要你填写的值

  • VOUCH_KB_PATH env
    Absolute path to the .vouch directory; if unset, vouch walks up from the cwd to find it.

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6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 vouchdev 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 7226 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7226 个服务器的 20% 更新
  • 基础检查结果等于或优于此分类中其他 7226 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

Vouch 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(1.2.2)于4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 Python (uv)。

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★ 64,224MIT3天前更新
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★ 5,213MIT44天前更新
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。

vouch

Git-native, review-gated knowledge base for LLM agents. MCP server + JSONL tool server + CLI.

Agents should not start every session with amnesia — but they shouldn't get to write whatever they want either.

vouch gives LLM agents durable memory with an explicit review gate: sessions capture themselves, agents *propose* writes, and nothing becomes durable knowledge until you approve it. Approved artifacts are plain files under .vouch/ — YAML claims, markdown pages — so the KB lives in your repo, is reviewed like code, diffs cleanly, and travels with git clone.

The destination is the one Andrej Karpathy's llm-wiki idea file sketches: stop using LLMs as search engines that rediscover your documents on every question — use them as tireless knowledge engineers that compile, cross-reference, and maintain a living wiki, while humans curate and think. vouch is that idea with the write path made trustworthy. vouch compile has an LLM draft the topic pages, but every page cites approved claims, every [claim: …] citation is machine-verified before the draft is filed, and the drafts pass through the same review gate as every other write. The LLM compiles; the human approves; the wiki compounds.

"I can do this with one prompt"

Often true — and worth being honest about. If you want your agent to remember things, a paragraph in CLAUDE.md, a memory file, or your host's built-in auto-memory gets you most of the way, costs nothing, and needs no install. Reach for that first. Recall is not a hard problem.

What is hard is *trust in the write path*, and that's a different problem than memory. Single-writer memory needs no trust model: you're the only author, and a bad line costs you a shrug. The moment writes come from more than one author — several agents, a teammate, a future you who forgot the context — the question stops being "what did we say?" and becomes "who decided this was true, on what evidence, and can I audit it later?" A prompt cannot answer that, no matter how good the prompt is.

That's the whole of vouch:

one prompt / memory filevouch
Who can writewhatever the agent decides to saveagents *propose*; a human approves — nothing else lands
Why believe a linevibesevery claim cites a content-hashed source; uncited is a validation error
When it's wrongedit and hopesupersede / contradict / archive, with the old version still in history
Who changed itfile mtimeappend-only audit log: who proposed, who approved, citing what, when
At n ≥ 2 writerslast write wins, silentlyone gate, one reviewed history, shared by git clone
What you reada growing pile of notescompiled topic pages with verified citations — a wiki, not a log

The same argument as a picture — at one writer the two are the same thing; the gap opens at the second writer and only widens:

So the honest pitch: vouch is not a better place to put memory — it's a review gate in front of one, and a wiki on the other side of it. If you're solo and happy, one prompt is genuinely fine; vouch's session capture runs passively alongside whatever your host already remembers, rather than replacing it. But once a fleet of agents writes to shared knowledge — or a team does — that pile of notes needs an editor, and an editor is not something you can prompt your way to. The case in full: docs/review-gate.md.

Install

For the full UI experience (recommended first time):

docker run --rm -p 127.0.0.1:5173:5173 -v vouch-demo-data:/data ghcr.io/plind-junior/vouch-demo

then open http://localhost:5173

Pre-seeded KB + full webapp console, zero setup. Pass -e ANTHROPIC_API_KEY=sk-ant-... to enable LLM features.

For the full UI without Docker — Python only, no clone, no node:

pipx install 'vouch-kb[web]'                  # the browser console ships inside the wheel

vouch serve --transport http --port 8731 & # a backend for the current .vouch/ vouch console # console at http://localhost:5173 — connect it to :8731

vouch console serves the same React console as the Docker demo, straight from the installed package.

For CLI + Claude Code integration (most common ongoing workflow):

# one-liner (Linux + macOS) — picks a Python, ensures pipx, installs vouch-kb

curl -fsSL https://raw.githubusercontent.com/vouchdev/vouch/main/install.sh | sh

…or directly via pipx (vouch-kb on PyPI; the command stays vouch)

pipx install vouch-kb

The one-liner is POSIX sh and never needs sudo — inspect install.sh first if you'd like.

For MCP server or CLI-only use:

docker run -i --rm -v "$PWD:/data" ghcr.io/vouchdev/vouch:latest          # stdio MCP server

docker run --rm -v "$PWD:/data" ghcr.io/vouchdev/vouch:latest status # any CLI command

For local development — CLI and webapp, both running from source:

git clone https://github.com/vouchdev/vouch

cd vouch python3 -m venv .venv && source .venv/bin/activate pip install -e '.[dev,web]' # dev,web is what CI installs — make check needs both vouch --version # the CLI now runs straight from src/ — edits apply without reinstalling

make console # webapp in dev mode: vouch backend on :8731 + live-reload

console at http://localhost:5173 — Ctrl-C stops both

make check # the CI gate: lint + type + test

make console needs node — it starts vouch serve --transport http and the Vite dev server as a pair, installing the console's node deps automatically on first run. To instead serve the console the way a release wheel does (no dev server), run make webapp-build once, then vouch console. See CONTRIBUTING.md for the full dev workflow.

Reproduce the loop on your project

After exploring the demo above, set up vouch in your own project:

1. Set up the KB and wire Claude Code (one command, one-time, per repo):

cd /path/to/your/project

vouch install-mcp claude-code # creates .vouch/ (if missing) + wires Claude Code

install-mcp initialises the KB when no .vouch/ is discoverable (pass --no-init to skip; vouch init still exists for KB-only setup), then writes .mcp.json (the kb.* MCP tools), the /vouch-* slash commands, and the weight-bearing hooks — SessionStart recall, UserPromptSubmit per-prompt recall, SessionEnd rollup. Per-tool PostToolUse observe / Stop answer are opt-in (capture.realtime; default off). It also registers vouch as a local-scope MCP server in ~/.claude.json (the ⚑ line in the output). Reload your editor window (VS Code: *Developer: Reload Window*) so it loads.

Why the extra registration? A committed .mcp.json is a *project*-scope server, and Claude Code only loads one after a per-user approval — which the VS Code extension never prompts for, so .mcp.json alone leaves the kb_* tools invisible in the extension (they sit at "pending approval", while the hooks quietly work — easy to misread as "connected"). The local-scope entry install-mcp writes is trusted on sight, so a fresh install just connects. Verify with claude mcp list (vouch … ✔ Connected). Pass --no-approve to skip it and approve .mcp.json yourself.

What you'll see. Every prompt is checked against the KB first. When vouch knows something relevant, the answer opens with "From vouch memory:", grounded in the cited items; when it doesn't, it opens with *"Nothing in vouch on this."* — recall is visible on every turn, never silent. (A fresh KB knows almost nothing yet: work a session or two so capture fills it, then ask about the project again.)

Prefer one install for every project? vouch install-mcp claude-code --global wires vouch once, machine-wide: user-level hooks and commands in ~/.claude/ plus a user-scope MCP server in ~/.claude.json. Every Claude session in every folder then captures + recalls into *that folder's own* .vouch/ — data stays per project. Run vouch init once in each project you want vouch in; by default a folder without a KB never captures anywhere — its session opens with a one-line "run vouch init to enable durable memory here" note and the kb_* tools say the same. Safe next to existing per-project installs: duplicate hooks collapse and capture dedups by event id.

Optionally, a personal catch-all KB. The global install asks one question (or pass --personal-fallback; later: vouch hub init-personal --fallback): opt in, and folders *without* a project KB capture into a personal KB at ~/.local/share/vouch/personal instead of nowhere — each captured source stamped with the folder it came from, and the session banner saying exactly where the knowledge is going. It is one store shared by every KB-less folder: recall in any of them reads the whole personal KB, so knowledge captured while working in one such folder can surface in another (the injected block says so). Projects with their own .vouch/ are never affected. When such a folder later becomes a real project, vouch init + `vouch adopt` moves its captures into the new project KB *through that KB's own review gate*: sources copy byte-identically, every claim is re-proposed and its byte-offset receipt re-verified, and the project's review config decides durability — adoption never bypasses review. Strictly opt-in; without it, nothing changes.

2. Point `compile` at an LLM — the only step that needs a model. In .vouch/config.yaml:

compile:

llm_cmd: "claude -p --model sonnet"

3. Work a session — it captures itself. Use Claude Code normally. Each tool call is harvested into a gitignored scratch buffer, and at session end the buffer rolls up — mechanically, no LLM — into one pending session-summary page. Never auto-approved: the next session greets yo

只显示了开头部分;其余内容请在仓库中阅读

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