Krauncher analyzer MCP Server

by ilya-a-sergeyev-ger Your server? Claim it

local only

Krauncher analyzer runs on your own machine — the client starts it, so there is no endpoint to ping. 231 installs a week from pypi. Last commit 17 Aug 2026.

How long a GPU job will run and cost, before running it — static code analysis, never executed.

Installs per day peak 946 · avg 121 · -28% w/w

a month agotoday

231

Installs / week

pypi · krauncher-mcp

Stars

0 open issues

17 Aug 2026

Last commit

0 releases in 90 days

MIT

License

Python

What the code does

We read the source, 19 h ago · rules 3dff92dd89df

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] krauncher_mcp/__init__.py:1, [пакет] krauncher_mcp/server.py:1

этот файл ставится пользователю, но в репозитории его нет

Runs an external command tutorial/15_data_sources_s3.py:58

        subprocess.run(["fallocate", "-l", "4G", scratch], check=True)

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

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

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.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add krauncher-mcp -- uvx krauncher-mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "krauncher-mcp": {
      "args": [
        "krauncher-mcp"
      ],
      "command": "uvx"
    }
  }
}

~/.codex/config.toml

[mcp_servers.krauncher-mcp]
command = "uvx"
args = ["krauncher-mcp"]

.cursor/mcp.json

{
  "mcpServers": {
    "krauncher-mcp": {
      "args": [
        "krauncher-mcp"
      ],
      "command": "uvx"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "krauncher-mcp": {
      "args": [
        "krauncher-mcp"
      ],
      "command": "uvx"
    }
  }
}

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Krauncher analyzer — questions

Answers built from our own checks of this server.

Why is there no uptime for Krauncher analyzer?

Krauncher analyzer 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 krauncher-mcp was installed 231 times last week.

How do I connect Krauncher analyzer?

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 krauncher-mcp straight from pypi; nothing to host, nothing to sign up for.

How many people use Krauncher analyzer?

The pypi package krauncher-mcp was installed 231 times in the last week. Week over week that is -28%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is Krauncher analyzer open source?

Yes — it is published under the MIT licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.