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ProofFlow MCP Server

by hyperion-gpu Your server? Claim it
local only

ProofFlow runs on your own machine — the client starts it, so there is no endpoint to ping. 71 installs a week from pypi. Last commit 20 May 2026.

Audit infrastructure for AI coding agents with evidence-backed review and policy gates.

Installs per day peak 40 · avg 13 · -13% w/w
a month agotoday
71
Installs / week
pypi · proofflow-mcp
49
Stars
5 open issues
20 May 2026
Last commit
0 releases in 90 days
MIT
License
Python

What the code does

We read the source, 20 h ago · rules 3dff92dd89df

A tool parameter reaches a dangerous call

A value the model can set ends up inside a file or shell call. That is not a flaw by itself — for a terminal server it is the job — but it is where things go wrong when it is not.

A tool parameter reaches a dangerous call proofflow_review.test_command → backend/proofflow/services/review_service.py:390
        result = subprocess.run(
Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

File ships in the package but is absent from the source [пакет] src/proofflow_mcp/__init__.py:1, [пакет] src/proofflow_mcp/__main__.py:1, [пакет] src/proofflow_mcp/client.py:1 и ещё 2
этот файл ставится пользователю, но в репозитории его нет
Builds a file path from a variable vscode-proofflow/src/webviews/caseDetail.ts:182
      absPath = path.join(folders[0].uri.fsPath, relPath);
Secret passed into the image build frontend/Dockerfile:10
ENV VITE_PROOFFLOW_API_KEY=$VITE_PROOFFLOW_API_KEY

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

A tool parameter here reaches a dangerous call

That is not a flaw by itself — but it is where things go wrong when it is not the job. We re-read this code on every release. Watch it and you hear from us the day another one appears.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add proofflow -- uvx proofflow-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "proofflow": {
      "args": [
        "proofflow-mcp"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.proofflow]
command = "uvx"
args = ["proofflow-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "proofflow": {
      "args": [
        "proofflow-mcp"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "proofflow": {
      "args": [
        "proofflow-mcp"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: PROOFFLOW_BASE_URL (ProofFlow backend URL (default: http://127.0.0.1:8787)), PROOFFLOW_API_KEY (API key for authenticated access to the ProofFlow backend). The author declared them in the registry entry; get the values from the project itself.

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ProofFlow — questions

Answers built from our own checks of this server.

Why is there no uptime for ProofFlow?
ProofFlow runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package proofflow-mcp was installed 71 times last week.
How do I connect ProofFlow?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls proofflow-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use ProofFlow?
The pypi package proofflow-mcp was installed 71 times in the last week. Week over week that is -13%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is ProofFlow open source?
Yes — it is published under the MIT licence, written in Python, 49 stars on GitHub and 5 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.