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

Proof

by ToremLabsversion 1.0.0i★ –iRuns on your computer
Registry nameio.github.ToremLabs/proof

Install

Overview

Description from the maker (original English)

Govern your AI coding agent: frame the work, review the changes, keep a signed decision record.

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

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": {
    "proof": {
      "command": "npx",
      "args": [
        "-y",
        "@toremlabs/proof-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add proof -- npx -y @toremlabs/proof-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "proof": {
      "command": "npx",
      "args": [
        "-y",
        "@toremlabs/proof-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": {
    "proof": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@toremlabs/proof-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 ToremLabs, 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 32415 servers in this category
  • Published to the registry more recently than 20% of the other 32415 servers in this category
  • Basic checks equal to or better than 100% of the other 32415 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 Proof 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 (1.0.0) 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 Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Safe Fetch

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated yesterday
Install

Safe Fetch

by Sanoy24

MCP server for fetching URLs, safe against SSRF, DNS rebinding, and redirect-to-internal attacks.

Runs on your computerUpdated today
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.

@toremlabs/proof-mcp

Proof is an audit trail for AI-written code: it records what the agent changed, what a person actually reviewed, and who signed off. This package is its MCP server.

A Model Context Protocol (MCP) server that exposes a Proof workspace to any MCP-capable client (Claude Desktop, Claude Code, Cursor, Windsurf, custom agents). The server logs into the user's Proof account, talks to the same Supabase project the webapp talks to, and respects the same RLS. Webapp and MCP are two front-ends to one cloud workspace.

Current version: 1.2.0.

Setting this up as an AI agent on someone's behalf? Read

llms-install.md instead — same steps, written for you,

and it flags the one step that needs a human.

Install

npm install -g @toremlabs/proof-mcp

or on demand without installing:

npx -y @toremlabs/proof-mcp

The npm package is @toremlabs/proof-mcp and the command it installs is proof-mcp, so subcommands run directly:

npx -y @toremlabs/proof-mcp login

Quickstart

1. Link this machine to your Proof account
npx -y @toremlabs/proof-mcp login

The CLI prints a device code and a one-click URL of the form https://proof.toremlabs.com/device?code=XXXX-XXXX. Open it in your browser, sign in if you aren't already, and confirm the device. The CLI polls in the background and writes credentials to ~/.proof/credentials.json (chmod 600 on POSIX) the moment you confirm. Subsequent runs of the MCP are silent.

The login flow rides three Supabase Edge Functions: mcp-device-init, mcp-device-grant, and mcp-device-poll.

To unlink a machine: npx -y @toremlabs/proof-mcp logout, or open Settings ▸ Connected devices in the webapp to revoke remotely.

npx -y @toremlabs/proof-mcp whoami confirms which account a machine is currently linked to.

2. Point your MCP client at it

Claude Desktop. Edit ~/Library/Application Support/Claude/claude_desktop_config.json on macOS, or %APPDATA%/Claude/claude_desktop_config.json on Windows:

{

"mcpServers": { "proof": { "command": "npx", "args": ["-y", "@toremlabs/proof-mcp"] } } }

Claude Code / Cursor / Windsurf. Drop a .mcp.json in the workspace root:

{

"mcpServers": { "proof": { "command": "npx", "args": ["-y", "@toremlabs/proof-mcp"] } } }

Restart the client. The Proof tools appear in the tool menu.

3. CLI subcommands
npx -y @toremlabs/proof-mcp whoami        # show the linked account + device

npx -y @toremlabs/proof-mcp logout # delete the credentials file npx -y @toremlabs/proof-mcp --help # all options npx -y @toremlabs/proof-mcp --no-realtime # boot the server with live sync off (persisted) npx -y @toremlabs/proof-mcp --realtime # re-enable live sync

Headless mode (CI, cloud agents, disposable containers)

Device pairing writes a refresh token to disk. That works great on a personal machine, but it does not survive disposable/ephemeral environments (CI runners, cloud agent containers, "Claude Code on the web"): the filesystem is wiped between runs, and a Supabase refresh token is single-use under rotation — so a token baked into config dies after the first session.

For those environments, skip pairing and let the server sign in fresh on every boot from your account email + password (a password is not consumed on use, so it works forever with no re-pairing). Set three env vars:

PROOF_EMAIL=you@example.com          # your Proof account email

PROOF_PASSWORD=your-account-password # secret — store it in a secrets manager PROOF_ANON_KEY=sb_publishable_... # project anon/publishable key (public, not a secret)

optional: PROOF_SUPABASE_URL=... # defaults to the production Proof project

When PROOF_EMAIL + PROOF_PASSWORD are present they take precedence over any credentials.json, and the MCP server authenticates per boot — no device link required. Requirements:

  • Email + password sign-in must be enabled for the Supabase project, and the account must have a password set (passwordless / magic-link-only accounts need a password added first).
  • Treat PROOF_PASSWORD as a secret. Prefer a dedicated account if your environment can only expose env vars that are visible to its users.

Legacy env names. The server previously shipped as Heuresis, so every

variable also accepts its old HEURESIS_* spelling (HEURESIS_EMAIL,

HEURESIS_SNAPSHOT, …). The PROOF_* name wins when both are set. Machines

paired under the old ~/.heuresis/ directory keep working — reads fall back

to it and the next write migrates to ~/.proof/.

Live sync

When the MCP boots in cloud mode it subscribes to the workspace over Supabase Realtime and notifies the client whenever a nodes, edges, projects, or ideas row changes. Edits made in the webapp show up in the agent's view without a manual refresh, and writes from one MCP-connected client reach any other connected client the same way. Pass --no-realtime to disable the subscription (useful if the chatter is noisy or the client logs every notification). The preference is saved to ~/.proof/config.json so the flag only needs to be passed once.

Tools

53 tools total: 49 data tools against the cloud workspace, plus 4 operator tools that drive the same ideation operators the webapp uses.

Reads. get_workspace_summary, list_projects, get_project_graph, get_subtree, list_concepts, list_edges, get_concept, search_concepts, find_concepts, find_orphans, list_recent_decisions. Most agent sessions start with get_workspace_summary or list_projects.

Concept writes. add_concept, update_concept, bulk_add_concepts, set_parent, link_concepts, add_kref, validate_concept, set_standing, archive_concept, unarchive_concept, star_concept, remove_concept, remove_concepts.

Idea & project writes. create_idea, rename_idea, recolor_idea, set_idea_members, add_to_idea, delete_idea, create_project, update_project, delete_project.

Agent runs & handoffs. list_agent_runs, get_agent_run, update_agent_run, list_pending_handoffs, claim_handoff.

Evidence, proof & review. add_evidence, add_challenge, record_proof, get_concept_proof, list_proofs, list_verification_records, get_verification_record, submit_review_summary.

Every write that targets a concept stamps a row in public.provenance with origin='mcp', so the webapp's session log shows which surface and which device made the change. Writes at the idea, project or agent-run level do not: a provenance row is keyed to a node (node_id NOT NULL), and those operations have no single concept to point at.

Operators (4). run_operator (generate candidates with Branch / Matrix / ASIT / TRIZ / Combine / Free / Contradiction), run_operator_and_commit (same, plus commit the result in one round-trip), expand_concept (recursive Branch; expansion is geometric, so it is capped by the number of model calls it makes, not by depth × breadth), and get_run (fetch a prior operator run).

Tool input shapes mirror their counterparts in the webapp's src/agent/tools.ts, so an agent that uses both surfaces sees a uniform contract.

Snapshot mode (read-only)

Without credentials, the server can read a JSON workspace export from disk and expose the read-only tool set (get_workspace_summary, list_projects, search_concepts, get_concept, get_subtree, get_project_graph, list_recent_decisions). Point PROOF_SNAPSHOT at the file:

export PROOF_SNAPSHOT="/absolute/path/to/your-export.json"

npx @toremlabs/proof-mcp

Export a workspace from the webapp via Settings → Workspace → Export. This mode is a convenience for offline / read-only use; cloud mode is the primary path.

License

AGPL-3.0-or-later.

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