servers/ ai-agents/ datanika-mcp
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Datanika Mcp

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Read-only-by-default MCP for Datanika: browse data, run dbt transforms, manage ELT pipelines.

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Overview Installation

Overview

Datanika Mcp is a Model Context Protocol (MCP) server: Read-only-by-default MCP for Datanika: browse data, run dbt transforms, manage ELT pipelines. In practice that means any MCP-compatible AI assistant can call Datanika Mcp's tools directly — the model decides when to use them in a conversation or agent run.

It runs locally: the Python package datanika-mcp (via uvx) speaks MCP over stdio on your machine. Configuration happens through environment variables — you'll need DATANIKA_API_KEY. The current release is v0.2.0, published under the AGPL-3.0 license, with source at datanika-io/datanika-core on GitHub.

Datanika Mcp is listed under AI & Agents on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain Datanika Mcp for datanika.io, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

PyPI package — datanika-mcp · MCP over stdio
Credentials — Requires DATANIKA_API_KEY
Open source — AGPL-3.0 license · datanika-io/datanika-core
Topics — ai-agents, airbyte-alternative, data-engineering, data-integration, data-pipeline

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "datanika_mcp": {
      "command": "uvx",
      "args": [
        "datanika-mcp"
      ],
      "env": {
        "DATANIKA_API_KEY": "<datanika-api-key>"
      }
    }
  }
}

Requires DATANIKA_API_KEY

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