Validate, plan, preview and run YAML data pipelines (ETL with LLM steps) and debug failed runs.
Connect Runs on your machine
claude mcp add agentl -e AGENTL_DB=<AGENTL_DB> -e AGENTL_PROVIDER=<AGENTL_PROVIDER> -e AGENTL_MODEL=<AGENTL_MODEL> -- uvx agentl-etl==0.9.0
{
"mcpServers": {
"agentl": {
"command": "uvx",
"args": [
"agentl-etl==0.9.0"
],
"env": {
"AGENTL_DB": "<AGENTL_DB>",
"AGENTL_PROVIDER": "<AGENTL_PROVIDER>",
"AGENTL_MODEL": "<AGENTL_MODEL>"
}
}
}
}
{
"mcpServers": {
"agentl": {
"command": "uvx",
"args": [
"agentl-etl==0.9.0"
],
"env": {
"AGENTL_DB": "<AGENTL_DB>",
"AGENTL_PROVIDER": "<AGENTL_PROVIDER>",
"AGENTL_MODEL": "<AGENTL_MODEL>"
}
}
}
}
{
"servers": {
"agentl": {
"type": "stdio",
"command": "uvx",
"args": [
"agentl-etl==0.9.0"
],
"env": {
"AGENTL_DB": "<AGENTL_DB>",
"AGENTL_PROVIDER": "<AGENTL_PROVIDER>",
"AGENTL_MODEL": "<AGENTL_MODEL>"
}
}
}
}
Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.
Tools
This server runs locally, so its tools are listed by your MCP client once it starts.
Environment variables
| Name | Description |
|---|---|
AGENTL_DBOptional | run store: SQLite path or postgresql:// URL (default .agentl/agentl.db) |
AGENTL_PROVIDEROptional | LLM provider for new_pipeline (anthropic, openai, openrouter, ...) |
AGENTL_MODELOptional | model for new_pipeline |
Details
| Package | [email protected] (PYPI, stdio) |
| First published | 16 Oct 2026 |
| Last updated | 16 Oct 2026 |
| Registry name | io.github.arimayuji/agentl |
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