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Datanika MCP

مجتمعي أخرى

Datanika, the open-source ELT and dbt platform: browse connections, preview data, run dbt transforms, monitor runs and manage pipelines. Read-only by default.

الشيفرة المصدرية التوثيق

التثبيت

خطوات التثبيت موجودة في التوثيق أدناه. التوثيق

التوثيق

مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.

المحتويات
  1. Datanika MCP Server
  2. Install
  3. Claude Desktop Configuration
  4. Available Tools
  5. Self-hosted
  6. Releasing (maintainers)
  7. License

Datanika MCP Server

mcp-name: io.datanika/datanika-mcp

MCP server for Datanika — browse connections, preview data, compile and validate dbt transformations, monitor runs, and manage pipelines from Claude Desktop.

Read-only by default. Pass --allow-write to enable creating resources and triggering pipeline runs.

Install

# From PyPI (recommended)
uvx datanika-mcp --help

# From git
uvx --from "git+https://github.com/datanika-io/datanika-core#subdirectory=datanika-mcp" datanika-mcp --help

Claude Desktop Configuration

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "datanika": {
      "command": "uvx",
      "args": [
        "--from", "git+https://github.com/datanika-io/datanika-core#subdirectory=datanika-mcp",
        "datanika-mcp",
        "--url", "https://app.datanika.io",
        "--api-key", "YOUR_API_KEY"
      ]
    }
  }
}
With write access
{
  "mcpServers": {
    "datanika": {
      "command": "uvx",
      "args": [
        "--from", "git+https://github.com/datanika-io/datanika-core#subdirectory=datanika-mcp",
        "datanika-mcp",
        "--url", "https://app.datanika.io",
        "--api-key", "YOUR_API_KEY",
        "--allow-write"
      ]
    }
  }
}
Environment variables

You can also configure via environment variables:

{
  "mcpServers": {
    "datanika": {
      "command": "uvx",
      "args": [
        "--from", "git+https://github.com/datanika-io/datanika-core#subdirectory=datanika-mcp",
        "datanika-mcp"
      ],
      "env": {
        "DATANIKA_URL": "https://app.datanika.io",
        "DATANIKA_API_KEY": "YOUR_API_KEY",
        "DATANIKA_ALLOW_WRITE": "true"
      }
    }
  }
}

Available Tools

Always available (read-only)
ToolDescription
get_agent_tiersGet the 5-tier agent capability stack
get_connection_typesList supported connection types with config schemas
list_connectionsList all connections in the org
get_connectionGet connection details by ID
introspect_connectionList schemas/tables of a source connection
preview_connectionPreview first N rows of a table
query_connectionExecute a read-only SQL query
compile_transformationCompile a dbt transformation (no execution)
preview_transformationCompile + execute, return preview rows
list_uploadsList all uploads
list_pipelinesList all pipelines
list_transformationsList all transformations
list_runsList runs with optional filters
get_runGet run details by ID
get_run_logsGet run logs
list_catalogList catalog entries (source tables + dbt models)
get_catalog_entryGet catalog entry details
Requires --allow-write
ToolDescription
create_connectionCreate a new data connection
create_uploadCreate a new upload (extract + load)
create_pipelineCreate a new pipeline (dbt orchestration)
create_transformationCreate a new dbt SQL transformation
bulk_importBulk-create resources from JSON v2 format
trigger_uploadTrigger an upload run
trigger_pipelineTrigger a pipeline run
trigger_transformationTrigger a transformation run

Self-hosted

Point --url at your instance. Use the backend port (8000) — 3000 is the Reflex frontend and serves no /api/v1:

datanika-mcp --url http://localhost:8000 --api-key etf_your_key

Releasing (maintainers)

datanika-mcp publishes to PyPI via GitHub Actions Trusted Publishing (OIDC — no stored API token). To cut a release (from master):

  1. Bump version in pyproject.toml.
  2. Tag and push — the tag version must match pyproject.toml:
     git tag mcp-v0.2.0
 git push origin mcp-v0.2.0
  3. The Release datanika-mcp to PyPI workflow builds the sdist + wheel and publishes. Verify: uvx datanika-mcp --help resolves from PyPI.

First-release setup: a one-time PyPI trusted-publisher must be configured (project datanika-mcp, repo datanika-io/datanika-core, workflow release-mcp.yml, environment pypi) before the first tag will publish. See the infra human-locker.

License

AGPL-3.0 — same as the core Datanika platform.

الأسئلة الشائعة

ما هو Datanika MCP؟

Datanika, the open-source ELT and dbt platform: browse connections, preview data, run dbt transforms, monitor runs and manage pipelines. Read-only by default.

كيف أثبّت Datanika MCP؟

اتبع خطوات التثبيت في توثيقه المعروض في هذه الصفحة وفي مستودعه.

هل Datanika MCP مفتوح المصدر؟

نعم. شيفرته متاحة على GitHub بترخيص AGPL-3.0.

من يصون Datanika MCP؟

ينشره datanika-io. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.

من القوائم المجتمعية awesome-mcp-servers ومستودع المشروع على GitHub. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.