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SQL Benchmarks Lab MCP Server

local only

SQL Benchmarks Lab runs on your own machine — the client starts it, so there is no endpoint to ping. 45 installs a week from pypi. Last commit 18 Sep 2026.

Query pre-computed SQL engine benchmarks. Runs standalone, no server setup required.

Installs per day peak 138 · avg 14 · -35% w/w
a month agotoday
45
Installs / week
pypi · sqlbenchdag
2
Stars
0 open issues
18 Sep 2026
Last commit
0 releases in 90 days
Apache-2.0
License
Python

What the code does

We read the source, 10 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.

                AgentTrace._standalone_dirs[key] = os.path.join(
                    AGENT_RUNS_DIR,
                    f"standalone_{datetime.now(timezone.utc).strftime('%Y%m%d_%H%M%S')}")
Builds a database query by concatenation sql_benchmarks/config_loader.py:87
                        select = mandatory_names + list(subset)
        <script charset="utf-8" src="https://cdn.plot.ly/plotly-3.6.0.min.js" integrity="sha256-QaOVwtVY0T02VaHrr6pnoHLCwayMJp4O5n4YyaE3rJk=" crossorigin="anonymous"></script>                <div id="b410f763-d51b-4f9d-b5c0-d0add29aba60" class="plotly-graph-div" style="height:100…
Touches key and credential files sql_benchmarks/resources/actian.py:26
    ssh_key_path: str = os.getenv("ACTIAN_SSH_KEY", os.path.expanduser("~/.ssh/benchmark-key-pair.pem"))

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

This one needs environment variables set before it will start: SB_RESULTS_DIR (Directory of experiment result capsules. The package ships the SQL suites, taxonomy and templates but NOT capsules, which are run output — so on a fresh install the catalog tools work and list_results is empty until this points at a results directory.), SB_API_BASE (Optional. Base URL of a running SQL Benchmarks REST API. Leave unset and the read tools mount the API in-process — no server needed. Set it only when the API runs elsewhere, or to use submit_experiment, which needs a process that outlives the request.). The author declared them in the registry entry; get the values from the project itself.

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SQL Benchmarks Lab — questions

Answers built from our own checks of this server.

Why is there no uptime for SQL Benchmarks Lab?
SQL Benchmarks Lab 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 sqlbenchdag was installed 45 times last week.
How do I connect SQL Benchmarks Lab?
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 sqlbenchdag straight from pypi; nothing to host, nothing to sign up for.
How many people use SQL Benchmarks Lab?
The pypi package sqlbenchdag was installed 45 times in the last week. Week over week that is -35%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is SQL Benchmarks Lab open source?
Yes — it is published under the Apache-2.0 licence, written in Python and 2 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.