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

buddie

by tsyyanversion 2.0.8i★ –iRuns on your computer
Registry nameio.github.tsyyan/buddie

Install

Overview

Description from the maker (original English)

Checks AI agents' claims against primary evidence, with no model; observes only what you grant.

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: Other
  • You need to fill in: BUDDIE_GITHUB_TOKEN

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: BUDDIE_GITHUB_TOKEN, VERBATIM_STORE

Values marked secret are keys to your account. Never share them or paste them into a chat.

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": {
    "buddie": {
      "command": "uvx",
      "args": [
        "buddie",
        "serve"
      ],
      "env": {
        "BUDDIE_GITHUB_TOKEN": "your-value",
        "VERBATIM_STORE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add buddie --env BUDDIE_GITHUB_TOKEN=your-value --env VERBATIM_STORE=your-value -- uvx buddie 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": {
    "buddie": {
      "command": "uvx",
      "args": [
        "buddie",
        "serve"
      ],
      "env": {
        "BUDDIE_GITHUB_TOKEN": "your-value",
        "VERBATIM_STORE": "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": {
    "buddie": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "buddie",
        "serve"
      ],
      "env": {
        "BUDDIE_GITHUB_TOKEN": "your-value",
        "VERBATIM_STORE": "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

  • BUDDIE_GITHUB_TOKEN secret env
    Optional GitHub token for pr: and ci: anchors (higher rate limit, private repos)
  • VERBATIM_STORE env
    Folder for page snapshots (default ./.verbatim)

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account tsyyan, 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 Otheri

  • More stars than 0% of the other 32661 servers in this category
  • Published to the registry more recently than 86% of the other 32661 servers in this category
  • Basic checks equal to or better than 100% of the other 32661 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 buddie 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?

You need to fill in: BUDDIE_GITHUB_TOKEN

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 (2.0.8) reached the registry 5 days 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: Spec Driven Development, Remote Desktop Commander, Claude Checkpoint MCP

Alternatives

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

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Claude Checkpoint MCP

by daniel-munoz

MCP server that checkpoints Claude Code session context to survive crashes and token limits

Runs on your computerUpdated today
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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.

Verify the claim. Know the context.

AI agent reliability toolkit

Why buddie?

An agent finishes a task and tells you that CI passed, that a source supports its summary, or that your laptop has CUDA and Python 3.12. It sounds certain, and often it is right. When it is wrong, the mistake hides inside a confident sentence.

buddie separates what can be checked from what is only claimed. It checks supported claims against the evidence itself, gives the agent real observations of your machine instead of guesses, and marks what it could not check as unchecked. In 929 checkable quotations from published deep-research reports, 212 were altered or absent from the page they cited; buddie flagged 207 of them (research). In Claude Code with the plugin, a seeded false quotation reached the reader in 24 % of paragraphs instead of 88 % (BDX-003).

What buddie does

Verify. buddie checks supported claims against their evidence: a quotation against the page it links to, a file or commit against your repository, a merged PR or a green CI run against GitHub, a test result against the session's record of the command. No language model takes part in the check, so the agent cannot argue its way to a different verdict.

Catch mismatches. In Claude Code and Codex, buddie's hook checks supported claims at Stop and returns failures with the reason. In Claude Code the answer is already visible at that point; buddie asks for corrected lines instead of another copy of the whole answer. Supported message checks before delivery retain their existing behavior. Other clients call the checks through MCP or the command line and decide what to do with the result.

Observe. Before it suggests a command, an agent can ask buddie for the parts of your machine the task needs: the operating system, CPU, memory, GPU, Python, runtimes, tools. buddie reads only the categories you have granted, changes nothing, and records how each value was observed.

Discover. The compact Claude plugin includes a Discovery skill for evidence triage with the tools available in the current session. It uses real Core verification when connected, performs independent checks otherwise, and marks unavailable checks as not checked. Local hooks and MCP capabilities vary by surface; Cowork, Chat and mobile require separate live verification. Projects/Context remains a future design.

See it in action

Verify an agent's claim

An agent reports that it fixed a date parser and that the test suite is green. It marks the claim with a small anchor, ⚓ run:pytest -q => 41 passed, that buddie can check. The session transcript records what the test command actually printed:

41 passed. Evidence check, session transcript: 1 failed, 40 passed in 3.1s. Verification outcome: FAIL, effects 0/1 hold, 1 broken, exit 1." width="600">

Run it yourself from a clone; the report and transcript are in examples/work:

cd buddie/examples/work

buddie verify report.md --transcript session.jsonl --no-github

BLOCK anchor line 3 ⚓ run:pytest -q => 41 passed: output has no '41 passed'; it ends: ….......................................... 1 failed, 40 passed in 3.1s note pr:/ci:/run: anchors show what happened (PR state, checks on a commit, a command and its output), not that the code is correct buddie FAIL: effects 0/1 hold, 1 broken

The files are a teaching fixture: buddie reads the recorded output rather than rerunning pytest. --json receipt.json also writes a receipt naming the evidence behind the verdict. Quotation, PR and CI examples, and which integration checks what: verification guide.

Know the environment

An agent is asked to set up a local development environment. Instead of guessing the operating system, GPU or Python version, it asks buddie for three categories, which the person has granted:

buddie snapshot --category system.os --category hardware.gpu --category software.python \

--task "configure local development environment" --json diagnostics.json

buddie snapshot: diagnostics of 3 categories (grants active, policy absent; these govern the categories only) system.os: collected name: Windows 11 [os_interface] hardware.gpu: collected adapters: [model NVIDIA GeForce GTX 1650, source nvidia_smi_gpus, vendor NVIDIA, vram_bytes 4294967296] [fixed_program] software.python: collected buddie_runtime: implementation cpython, pip True, venv True, version 3.14.6 [buddie]

Abridged from a run of buddie 2.0.0: the lines shown are unedited, and the machine's other observed values are left out. diagnostics.json holds the full document, with the method and time of each value.

Nothing is observed until you grant it (/buddie:init offers it). The template grants the low-sensitivity categories, Docker and Podman clients included:

buddie snapshot --grant-baseline          # writes the grants file, baseline only (never over yours)

buddie snapshot --grant-template # prints it, to edit by hand buddie snapshot --grants # what is granted now

Sensitive categories (the Docker daemon, disk usage, a project, a repository) are added to it one by one.

A category you have not granted is reported as denied, and its collector never runs. A value buddie cannot read is marked unavailable, with the reason. Diagnostics is read-only and installs nothing; it gives the agent better facts, not a guarantee that its next command is right. Categories, grants and the document.

Get started

buddie needs Python 3.11 or newer and has no dependencies.

Claude Code

The recommended start. The plugin adds the answer check, the MCP tools including environment diagnostics, and run: checks against the session transcript:

/plugin marketplace add tsyyan/buddie

/plugin install buddie@buddie

It installs the latest released plugin (the plugin-stable branch), not unreleased work on main. To allow diagnostics, save the categories you choose as environment.toml in ~/.config/buddie/ (%APPDATA%\buddie\ on Windows). For the demo above:

version = 1

allow = ["system.os", "hardware.gpu", "software.python"] roots = []

Levels, the intro mode and what the hook reads: Claude Code guide.

Other integrations
  • Codex: codex plugin marketplace add tsyyan/buddie, then codex plugin add buddie@buddie, and enable its hook in /hooks. The check runs at Stop; run: claims stay unchecked. Codex guide
  • Any MCP client: uvx buddie serve starts the stdio server. There is no gate: the agent calls the tools. Integrations
  • Command line and CI: pip install buddie, then buddie verify REPORT.md --json receipt.json. It exits 1 on FAIL; GAPS and EMPTY exit 0, so a CI step that requires PASS should read the receipt's outcome.
  • Claude Desktop: the .mcpb bundle from Releases, without a gate. Desktop guide

Every surface in detail: getting started.

Release status
Version
Release described here: PyPI, GitHub Releases, the Desktop bundle, the MCP Registry2.0.8

Upgrading from 2.0.5 changes nothing you have to do: 2.0.8 makes the hook's Python commands explicit for Anthropic directory inspection, preserving isolated mode, interpreter fallback and hook behavior. Claude Code's marketplace continues to install releases from plugin-stable.

Upgrading from 2.0.2: 2.0.4 includes canonical Discovery, the README-style dog icon and Toolkit positioning, Linux worker guard hardening, and Stop-hook guidance that asks for corrections without repeating the already displayed answer. No new permissions are required; on Linux a failed parent-death guard now prevents the regex worker from running. Discovery leaves unavailable checks unverified. The 2.0.3 candidate was superseded before publication.

Upgrading from 2.0.1 changes nothing you have to do: 2.0.2 adds the local feedback tools (feedback_start, feedback_resolve, feedback_accept), GitHub citation checks and versioned public release notes. Upgrading from 2.0.0 changes nothing; 2.0.1 fixed how the MCP server reads its input on Windows systems whose code page is not UTF-8. Upgrading from 1.1.1 changes nothing for a 1.x setup. What can differ, and why, is in the changelog.

Documentation

TopicRead
Install on every surfaceGetting started
What each integration doesIntegrations
Checks, outcomes and receiptsVerification, receipts
Environment diagnosticsEnvironment
Security and privacyLimitations, security, privacy

| Contributing | [CONTRIBUTING.md](https://github.com

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

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