What can you do with this server?

The Datanika MCP server lets you interact with the Datanika data platform — browsing connections, previewing data, managing dbt transformations, monitoring runs, and orchestrating pipelines. Read-Only Capabilities (always available) * Agent info: Retrieve the 5-tier agent capability stack description * Connection management: List all connections, get connection details by ID, and list supported connection types with their config schemas * Data exploration: Introspect schemas/tables of a connection, preview the first N rows of a table, and execute read-only SQL queries * dbt transformations: Compile a dbt transformation (resolves Jinja, ref(), source() without executing), or compile + execute to preview result rows * Uploads & pipelines: List all uploads (extract + load jobs), pipelines (dbt orchestration), and transformations * Run monitoring: List runs with filters (by type and status), get details of a specific run, and fetch run logs * Data catalog: List all catalog entries (source tables and dbt models) and get details of a specific catalog entry Write Capabilities (require --allow-write flag) * Create resources: Create new data connections, uploads, pipelines, and dbt SQL transformations * Bulk import: Bulk-create connections, uploads, pipelines, and transformations in one call using the JSON v2 import format (validates everything before creating anything) * Trigger runs: Trigger upload, pipeline, and transformation runs — with an optional wait flag to block until completion (up to 120s)

Which integrations are available for this server?

Provides tools for compiling, previewing, and validating dbt transformations, as well as listing and triggering dbt runs and managing dbt orchestration pipelines.

datanika-mcp

by datanika-io

Overview Schema Related Servers Score Discussions

Python

Remote

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

Related MCP server: @us-all/dbt-mcp

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):

Read-only (recommended)

{
  "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)

Tool	Description
`get_agent_tiers`	Get the 5-tier agent capability stack
`get_connection_types`	List supported connection types with config schemas
`list_connections`	List all connections in the org
`get_connection`	Get connection details by ID
`introspect_connection`	List schemas/tables of a source connection
`preview_connection`	Preview first N rows of a table
`query_connection`	Execute a read-only SQL query
`compile_transformation`	Compile a dbt transformation (no execution)
`preview_transformation`	Compile + execute, return preview rows
`list_uploads`	List all uploads
`list_pipelines`	List all pipelines
`list_transformations`	List all transformations
`list_runs`	List runs with optional filters
`get_run`	Get run details by ID
`get_run_logs`	Get run logs
`list_catalog`	List catalog entries (source tables + dbt models)
`get_catalog_entry`	Get catalog entry details

Requires `--allow-write`

Tool	Description
`create_connection`	Create a new data connection
`create_upload`	Create a new upload (extract + load)
`create_pipeline`	Create a new pipeline (dbt orchestration)
`create_transformation`	Create a new dbt SQL transformation
`bulk_import`	Bulk-create resources from JSON v2 format
`trigger_upload`	Trigger an upload run
`trigger_pipeline`	Trigger a pipeline run
`trigger_transformation`	Trigger 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):

Bump version in pyproject.toml.
Tag and push — the tag version must match pyproject.toml:
```
git tag mcp-v0.2.0
git push origin mcp-v0.2.0
```
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.

Install Server

license - permissive license

quality

maintenance

How are these scores calculated?

Maintenance

–Maintainers

1hResponse time

–Release cycle

1Releases (12mo)

Commit activity

Issues opened vs closed

Resources

GitHub Repository

Need Help?

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