agentl MCP Server

by arimayujiio.github.arimayuji/agentlv0.9.0

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

1Pythonstdioofficial registry

context tax

pending

security

pending

cold start

pending

freshness

pending

Our reading of agentl, from the data

agentl is a ai & llm tools MCP server from arimayuji, listed in the official MCP Registry.

We haven't measured its tool list yet, so its token cost is unknown.

With 1 GitHub stars it ranks #978 of 3,169 ai & llm tools servers we index.

It runs locally on your machine over stdio.

Install agentl MCP server

claude mcp add agentl-etl -- uvx agentl-etl mcp

{
  "mcpServers": {
    "agentl-etl": {
      "command": "uvx",
      "args": [
        "agentl-etl",
        "mcp"
      ]
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).

{
  "mcpServers": {
    "agentl-etl": {
      "command": "uvx",
      "args": [
        "agentl-etl",
        "mcp"
      ]
    }
  }
}

Settings → Developer → Edit Config (claude_desktop_config.json), then restart.

{
  "servers": {
    "agentl-etl": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "agentl-etl",
        "mcp"
      ]
    }
  }
}

Add to .vscode/mcp.json in your workspace.

{
  "mcpServers": {
    "agentl-etl": {
      "command": "uvx",
      "args": [
        "agentl-etl",
        "mcp"
      ]
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json.

Configuration

Variable	Required	Secret	Description
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

Freshness

Not enough public signals yet to judge maintenance.

Last commit (default branch)
2026-10-19 · today · GitHub
Latest release
2026-10-18 · today · GitHub · v0.12.0
Package published
no data · npm/PyPI
Registry entry updated
2026-10-16 · 3d ago · official registry · v0.9.0

How it compares in AI & LLM Tools

Against the most-starred ai & llm tools servers we index. Token cost is per model turn, measured from each server's live tool list.

Server	Stars	Tools	Tokens / turn	Freshness	Runs
agentl (this)	1	—	not measured	—	local
Memory	91,356	—	not measured	Active	local
Claude Flow	76,638	—	not measured	Active	local
Next AI Draw.io	36,318	—	not measured	—	local
Serena Agent	30,371	—	not measured	Active	local
Trycua	30,160	—	not measured	Active	—

All ai & llm tools MCP servers

FAQ

›How do I install the agentl MCP server in Claude Code?

Run: claude mcp add agentl-etl -- uvx agentl-etl mcp. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.

›Does agentl require an API key?

No required environment variables are declared in its published metadata.

›Can I use agentl as a remote (hosted) MCP server?

No hosted endpoint is published; it runs locally over stdio.

›Is agentl in the official MCP registry?

Yes, as io.github.arimayuji/agentl.

Sources and method

Official MCP Registry entry: updated 2026-10-16
GitHub repository: fetched 2026-10-19
Package registry (npm / PyPI): listed
Last checked against all sources: 2026-10-19

The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.