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

Docmancer

by docmancerversion 0.9.17i★ –iRuns on your computer
Registry namedev.docmancer/docmancer

Install

Overview

Description from the maker (original English)

Local-only MCP server for source-attributed Markdown memory and documentation retrieval.

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).
  • The registry lists no key to fill in.

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": {
    "docmancer": {
      "command": "uvx",
      "args": [
        "docmancer",
        "mcp",
        "serve"
      ]
    }
  }
}

Run this in your terminal

claude mcp add docmancer -- uvx docmancer mcp serve

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "docmancer": {
      "command": "uvx",
      "args": [
        "docmancer",
        "mcp",
        "serve"
      ]
    }
  }
}

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": {
    "docmancer": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "docmancer",
        "mcp",
        "serve"
      ]
    }
  }
}

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.

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 against the domain docmancer.dev (the registry checks domain ownership)

  • … 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 7236 servers in this category
  • Published to the registry more recently than 30% of the other 7236 servers in this category
  • Basic checks equal to or better than 100% of the other 7236 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 Docmancer 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 (0.9.17) reached the registry 3 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.

Docmancer

Your AI coding environment, restored on every machine.

Website · Documentation · Blog · Changelog · Discussions

Your coding agents remember what happened on one machine

Agent backup and restore are development-preview commands. Local encrypted archives are available now. Managed Cloud snapshots remain gated on migration and recovery acceptance.

Docmancer securely restores their sessions, memory, and setup, then makes the useful project context available to every agent you use.

Claude Code and Codex can search the files they already wrote on one machine. A normal dotfile tool can copy directories. Neither gives you an agent-aware, secret-stripped backup with structural verification, project mapping, conflict quarantine, and a reviewed path from raw history to shared project memory.

Start by seeing what Docmancer can protect:

docmancer backup --dry-run

Create a free passphrase-encrypted local archive:

docmancer backup --local --to ~/Backups/agents.dmbak

On a new machine, close Claude Code and Codex and preview the restore:

docmancer restore ~/Backups/agents.dmbak --dry-run

docmancer restore ~/Backups/agents.dmbak

Docmancer restores missing history, skips identical files, merges only safe configuration, and quarantines divergent sessions. It never copies authentication stores, .env files, literal MCP environment values, caches, logs, telemetry, or machine keys.

After backup or restore, local consolidation finds durable decisions and constraints in the protected histories. Every proposal links to exact transcript evidence and waits for review:

docmancer consolidate

docmancer consolidate --review PROPOSAL_ID docmancer consolidate --approve PROPOSAL_ID

Your agents already learned this. They just cannot tell each other.

Claude Code knows why you moved off Railway. Codex learned your migration convention. Cursor is still following a rule you overruled two months ago. Each agent wrote something down, none of them agree, and none of it is anywhere you can read.

That knowledge is real, and it is already on your disk. It is sitting in CLAUDE.md files, AGENTS.md files, Cursor rules, agent memory directories, and session history, in a different place and a different format for every tool you use.

Docmancer is built around two questions, in this order:

  1. I re-explain my project to every coding agent. How do I get them all working from the same context? Docmancer arranges the durable parts as plain local Markdown you can read and edit, then delivers the relevant files to every agent you connect, so a decision you record once reaches all of them.
  2. What do my coding agents already know about me and my working style? Docmancer indexes the memory, instructions, and rules they wrote on this machine, and keeps the contributing source attached to every claim, so you can read the answer instead of guessing at it.

Nothing leaves your machine unless you ask it to. There is no telemetry, no account, and no API key needed for the core product.

Install

pipx install docmancer

pipx ensurepath export PATH="$(pipx environment --value PIPX_BIN_DIR):$PATH" docmancer setup

pipx ensurepath makes the change persistent for future terminals. The export line makes Docmancer available in the current terminal immediately, which matters in an existing SSH session. If docmancer still reports command not found, reconnect over SSH and try again.

If you use uv, uv tool install docmancer installs it the same way.

setup finds every supported coding agent, shows you one complete plan and privacy warning, and waits for your confirmation before it changes anything. Then it indexes what it found, builds your canonical memory, installs the agent skills, and turns on automatic recall where the agent supports it.

Ask it something:

docmancer ask "Why did we choose Railway?"

You get a bounded, cited answer built from your own agents' evidence. Then open the app for the current project:

cd /path/to/your-project

docmancer web

That is the whole first run. It takes about a minute, and setup does not modify the project you are standing in.

What you get

One memory instead of six. Every supported agent reads from the same canonical Markdown, so a decision recorded once is available to Claude Code, Codex, Cursor, Gemini, and the rest without you copying it around.

Answers with receipts. Recall returns the mandatory policy, the curated memory, and the supporting agent evidence with stable citations, so you can see which agent said what and when. The optional language model turns that evidence into prose but never chooses what goes into it.

Files you own, not a database. Shared Memory is ordinary Markdown in ordinary directories. You can open it in your editor, commit it, grep it, or delete it. Stable docmancer://memory/ addresses keep working even after you move a file.

Local and offline by default. The default profile uses SQLite FTS5, sqlite-vec, and a small vendored embedding model. No daemon, no model download, no network call, no key.

Edits that cannot clobber each other. Changing or moving an existing memory file requires the content hash you last read, so one agent cannot silently overwrite a newer decision made by another.

Approval before anything is written. When you ask Docmancer to remember or change something, it prepares one complete file proposal and shows you the diff. The default answer is no, and a later "yes" in conversation never applies a stored proposal.

Take the same memory to a VPS or another machine

The complete product above is free on one machine. Optional paid Personal Sync adds encrypted transport, managed revision history, devices, and recovery when you work across a laptop, VPS, or other machines.

On the machine that already has your memory, run:

docmancer cloud connect

Sign in through the browser. Docmancer creates and checks a recovery kit, shows it once for offline storage, and starts the first encrypted upload automatically. The account page then asks for a payment method to start the 30-day trial. There is no separate recovery verification or first-sync command.

On the VPS or second machine, install Docmancer and run:

docmancer setup

docmancer cloud connect

The new machine shows a four-word pairing code. Run docmancer cloud connect on an already connected machine, confirm the same four words, and approve it. Then run the command once more on the new machine. Docmancer downloads the machine-wide Shared Memory tree and any project trees mapped on that machine. If every connected machine is unavailable, use docmancer cloud connect --recover and enter the offline recovery kit.

The selected monthly or yearly subscription begins automatically after the trial unless you cancel. A failed renewal has a fixed 7-day upload grace period, followed by a 30-day read-only pull and export window before hosted ciphertext is scheduled for deletion. Local memory and every local feature keep working in every billing state. See the Personal Sync guide for the full journey.

See what each agent actually receives

Run docmancer web and open Shared Memory. The left pane is the real file tree on disk, the middle pane reads the selected file with its provenance, and the right pane lists your connected agents. Select an agent to inspect the exact bounded projection it will receive, before it receives it.

The scaffold is opinionated, but the files are yours:

~/.docmancer/tree/                 # machine-wide, follows you between projects

├── profile/ │ ├── about.md │ └── preferences.md ├── principles/ │ └── working-style.md ├── projects/ │ └── active.md └── shared/

/.docmancer/tree/ # per project ├── overview.md ├── decisions/ ├── constraints/ ├── workflows/ └── lessons/

Connect your agents

docmancer setup installs everything it detects. To manage one integration on its own:

docmancer agent install claude-code --hooks

docmancer agent install codex --hooks

AgentSkill fileAutomatic recallSession captureMCP
Claude CodeYesYesYesYes
Codex (CLI, app, desktop)YesYesYesYes
CursorYes
ClineYes
Gemini CLIYes
OpenCodeYes
GitHub CopilotYes
Claude DesktopManual uploadYes

Installed skills teach an agent when to ask Docmancer for prior decisions and how to write deliberate memory when you explicitly request it, which is why every supported agent can use the same memory. Automatic recall and session capture need lifecycle hooks, and only Claude Code and Codex expose those today, so the other agents recall on demand through their skill file instead.

MCP is an alternative transport over the same local services, not a second memory store:

docmancer mcp install codex

docmancer mcp doctor

Record a decision on purpose

Discovery finds what your agents already wrote. When you want something recorded deliberately:

docmancer write $'# Deployment\n\nDeploy the API on Railway.' \

--path decisions/deployment.md \ --scope project

Read it back later, from any agent or from your shell:

docmancer read decisions/deployment.md

Or let Ask do it, with an approval step:

docmancer ask "Remember that production releases require a smoke test"

docmancer ask "Update decisions/release.md to require two reviewers" --apply

Everyday commands

CommandPurpose
docmancer setupDiscover agent memory and connect every supported agent.
docmancer ask "..."Recall evidence, answer a question, or propose one memory change.
docmancer webOpen the local app for the current project.
docmancer commonShow what several agents recorded independently.
docmancer deliveryShow installed integrations, recall state, and recent use.
docmancer timelineShow how curated memory changed over time.
docmancer write ... --path file.mdWrite one deliberate Markdown memory file.
docmancer read Read one memory file with its provenance.
docmancer edit ... --expected-hash Safely edit a memory file.
docmancer move ... --expected-hash Safely rename or move a memory file.

| docmancer import ./notes | Copy arbitrary Markdown into the project inbox.

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

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