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

Bitpull

by SamuealPKversion 0.1.20i★ –iRuns on your computer
Registry nameio.github.SamuealPK/bitpull

Install

Overview

Description from the maker (original English)

Search shared, signed code repos; use community compute and open AI models; set up BitPull.

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

  • npmNode.js installed (for the npx 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": {
    "bitpull": {
      "command": "npx",
      "args": [
        "-y",
        "bitpull",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add bitpull -- npx -y bitpull mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "bitpull": {
      "command": "npx",
      "args": [
        "-y",
        "bitpull",
        "mcp"
      ]
    }
  }
}

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": {
    "bitpull": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "bitpull",
        "mcp"
      ]
    }
  }
}

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 with the GitHub account SamuealPK, 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 7232 servers in this category
  • Published to the registry more recently than 97% of the other 7232 servers in this category
  • Basic checks equal to or better than 100% of the other 7232 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 Bitpull 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 (0.1.20) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js 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.

BitPull (bitpull.cloud)

Share code knowledge and computing power with AI tools. BitPull is a desktop app and command-line tool for developers. With it you can:

  • Publish signed, AI-readable code repositories. Claude Code, Codex, Cursor and other AI tools search them through MCP.
  • Lend idle CPU, memory and open AI models (text, vision, images, speech, music) and earn credits. Lending is off until you turn it on, with daily, weekly and monthly limits.
  • Use the community network: run jobs in sandboxes on other people's computers, encrypted on the way, and ask open models.
  • My network: computers you add run your own jobs first, for free. They can also run one larger model together, from the dashboard.

Not affiliated with other products named BitPull. Website: https://bitpull.cloud · Guide for AI assistants: https://bitpull.cloud/llms.txt · Install data with SHA-256: https://bitpull.cloud/install.json

Install

SystemCommand
macOS / Linux`curl -fsSL https://bitpull.cloud/install.sh \sh`
Windows (PowerShell)`powershell -ExecutionPolicy Bypass -c "irm https://bitpull.cloud/install.ps1 \iex"`
Only the command line and MCP server (Node.js 20+)npx -y bitpull doctor

The install scripts verify the SHA-256 of the download before installing it, install for the current user and add the bitpull command. Installers are also available at https://bitpull.cloud/download

Use it from your AI tool (MCP)

{ "mcpServers": { "bitpull": { "command": "npx", "args": ["-y", "bitpull", "mcp"] } } }

You can also connect it from the app, or with bitpull connect claude-code|codex|cursor|windsurf|gemini|vscode|claude-desktop.

Then ask your assistant to log in. The bitpull_login tool shows a link and a code, and you approve it on the website: the assistant never sees your password.

The tools include:

  • search_repos, read_manifest, fetch_files
  • ask_open_model, use_open_model, list_open_models
  • run_job, job_status, my_balance
  • bitpull_login, bitpull_logout, bitpull_setup_status, bitpull_set_lending_rules, bitpull_set_ai_limits, bitpull_install, bitpull_download_model

Command line

bitpull login --device     log in by approving a code on the website (--via github|google)

bitpull logout log this computer out, e.g. to log in with another account bitpull doctor what this computer has, required vs optional, and how to add the rest (--json) bitpull status login, lending state, what this computer offers now bitpull install lemonade images, speech and music engine (also: docker, ollama --run) bitpull pull qwen3.5:4b download an open model to lend bitpull set enabled=on idleMinutes=0 maxCpus=2 keepAwake=on waitMinutes=15 bitpull limits day.requests=50 bitpull ask "…" ask an open model on the network bitpull run python:3.12-slim -- python -c "print(1)" bitpull network your computers (add/remove changes your network) bitpull run python:3.12-slim --mine -- python -c "print(1)"

Privacy and safety

  • BitPull reads only the folders you authorise and publishes only what you publish.
  • Jobs travel encrypted and BitPull's server cannot read them. On your computer they run in sandboxes without internet access or access to your files.
  • The computer that runs a job must decrypt it to do the work. For private data use --mine: the job never leaves the computers of your network.
  • The local dashboard and API listen only on 127.0.0.1 and require a secret token.
  • Requests to proprietary models offered by the platform (Claude, GPT, Gemini…) pass through BitPull's server to the provider: they are not end-to-end encrypted.

Terms: https://bitpull.cloud/legal/terms · Privacy: https://bitpull.cloud/legal/privacy

Downloads in this repository

This repository hosts the signed release builds of the BitPull desktop app; the source code is private. Get the latest version from the Releases page, from https://bitpull.cloud/download or with the install scripts above.

  • macOS: open the .dmg and drag BitPull to Applications. The first time, right-click the app and choose Open (the install script avoids this step).
  • Windows: run the -setup.exe installer. If SmartScreen appears, choose More info → Run anyway.
  • Linux: install the .deb or .rpm, or make the .AppImage executable and run it.

Every file's SHA-256 is listed on the release page and in https://bitpull.cloud/install.json.

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