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PopNx MCPMCP servers for people who use AI · explained in plain words

Vouch

by vouchdevversion 1.2.2i★ –iRuns on your computer
Registry nameio.github.vouchdev/vouch

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: VOUCH_KB_PATH

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

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

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account vouchdev, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7233 servers in this category
  • Published to the registry more recently than 20% of the other 7233 servers in this category
  • Basic checks equal to or better than 100% of the other 7233 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Vouch safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.2.2) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

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