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agentl MCP Server

by arimayuji Your server? Claim it
local only

agentl runs on your own machine — the client starts it, so there is no endpoint to ping. 700 installs a week from pypi.

Validate, plan, preview and run YAML data pipelines (ETL with LLM steps) and debug failed runs.

The linked repository no longer exists on GitHub — it was deleted or made private.

Installs per day peak 1 145 · avg 224 · +71% w/w
a month agotoday
700
Installs / week
pypi · agentl-etl
—
Stars
on GitHub
—
Last commit
from GitHub
—
License
language unknown

What the code does

We have not read this server's code yet, 11 d ago · rules 995398eba69f

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] agentl/__init__.py:1, [пакет] agentl/__main__.py:1, [пакет] agentl/assist.py:1 и ещё 72
этот файл ставится пользователю, но в репозитории его нет
Runs an external command [пакет] agentl/mcp.py:38, [пакет] agentl/mcp_install.py:195, [пакет] agentl/cli.py:73 и ещё 1
        self.proc = subprocess.Popen(
Unsafe deserialization [пакет] agentl/mcp_server.py:58, [пакет] agentl/backfill.py:108, [пакет] agentl/lint.py:722 и ещё 2
                yaml.load(_neutral(Path(pipeline).read_text(encoding="utf-8")), Loader=_Loader),
Sends data to a third-party sink [пакет] agentl/notify.py:119
    base = cfg.get("api_url", "https://api.telegram.org").rstrip("/")

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

Optional settings from the registry entry, left out of the block above: AGENTL_DB (run store: SQLite path or postgresql:// URL (default .agentl/agentl.db)), AGENTL_PROVIDER (LLM provider for new_pipeline (anthropic, openai, openrouter, ...)), AGENTL_MODEL (model for new_pipeline).

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agentl — questions

Answers built from our own checks of this server.

Why is there no uptime for agentl?
agentl 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 agentl-etl was installed 700 times last week.
Is agentl still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect agentl?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls agentl-etl straight from pypi; nothing to host, nothing to sign up for.
How many people use agentl?
The pypi package agentl-etl was installed 700 times in the last week. Week over week that is +71%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.