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Inferbench MCP Server

local only

Inferbench runs on your own machine — the client starts it, so there is no endpoint to ping. 231 installs a week from pypi. Last commit 25 Sep 2026.

Benchmarks local LLM inference speed (tokens/sec) on your own hardware via MCP tools.

Installs per day peak 50 · avg 22 · +39% w/w
a month agotoday
231
Installs / week
pypi · inferbench-cli
0
Stars
0 open issues
25 Sep 2026
Last commit
from GitHub
Apache-2.0
License
Python

What the code does

We read the source, 18 h ago · rules ccca72095570

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.

            subprocess.run(  # noqa: S603, S607 -- fixed argv, binary name only, no shell
In the project's build, not in the package

Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.

      execFileSync(BINARY, ["--version"], { stdio: "ignore" });

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.

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 inferbench -- uvx inferbench-cli
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "inferbench": {
      "args": [
        "inferbench-cli"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.inferbench]
command = "uvx"
args = ["inferbench-cli"]
.cursor/mcp.json
{
  "mcpServers": {
    "inferbench": {
      "args": [
        "inferbench-cli"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "inferbench": {
      "args": [
        "inferbench-cli"
      ],
      "command": "uvx"
    }
  }
}

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Inferbench — questions

Answers built from our own checks of this server.

Why is there no uptime for Inferbench?
Inferbench 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 inferbench-cli was installed 231 times last week.
How do I connect Inferbench?
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 inferbench-cli straight from pypi; nothing to host, nothing to sign up for.
How many people use Inferbench?
The pypi package inferbench-cli was installed 231 times in the last week. Week over week that is +39%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Inferbench open source?
Yes — it is published under the Apache-2.0 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.