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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. 224 installs a week from pypi. Last commit 25 Aug 2026.

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

Installs per day peak 867 · avg 97 · -37% w/w
a month agotoday
224
Installs / week
pypi · inferbench-cli
0
Stars
0 open issues
25 Aug 2026
Last commit
0 releases in 90 days
Apache-2.0
License
Python

What the code does

We read the source, 11 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] src/inferbench/__init__.py:1, [пакет] src/inferbench/benchmark.py:1, [пакет] src/inferbench/cli.py:1 и ещё 19
этот файл ставится пользователю, но в репозитории его нет
Runs an external command python/src/inferbench/engines/llamacpp.py:23, python/src/inferbench/engines/omlx.py:39, python/src/inferbench/harness/spawn_server.py:43 и ещё 5
            subprocess.run(  # noqa: S603, S607 -- fixed argv, binary name only, no shell
      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 224 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 224 times in the last week. Week over week that is -37%. 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.