Server data from the Official MCP Registry
Read-only-by-default MCP for Datanika: browse data, run dbt transforms, manage ELT pipelines.
Read-only-by-default MCP for Datanika: browse data, run dbt transforms, manage ELT pipelines.
Valid MCP server (2 strong, 1 medium validity signals). No known CVEs in dependencies. ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
8 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: DATANIKA_URL
Environment variable: DATANIKA_API_KEY
Environment variable: DATANIKA_ALLOW_WRITE
Add this to your MCP configuration file:
{
"mcpServers": {
"io-datanika-datanika-mcp": {
"env": {
"DATANIKA_URL": "your-datanika-url-here",
"DATANIKA_API_KEY": "your-datanika-api-key-here",
"DATANIKA_ALLOW_WRITE": "your-datanika-allow-write-here"
},
"args": [
"datanika-mcp"
],
"command": "uvx"
}
}
}From the project's GitHub README.
Open-source data pipeline platform — Extract, Load, Transform, and Orchestrate from a single UI.
Datanika combines dlt (extract + load) with dbt-core (transform) and adds visual pipeline management, scheduling, and monitoring — all in one Python-native platform.
Think Airbyte + dbt Cloud + Airflow — in one tool, self-hostable with Docker Compose.
🔌 32 Connectors — PostgreSQL, MySQL, BigQuery, Snowflake, Stripe, HubSpot, Salesforce, Kafka, S3, and more
🔄 dbt Transformations — SQL models, tests, snapshots, packages, and source freshness built in
📊 Visual Pipeline Builder — DAG editor with dependency management
⏰ Scheduling — Cron-based with APScheduler, persistent across restarts
📈 Monitoring — Run history, streaming logs, and dashboard stats
🔐 Enterprise Security — RBAC, SSO (SAML/OIDC), audit logging, encrypted credentials
🌍 9 Languages — English, German, French, Spanish, Russian, Greek, Chinese, Arabic, Serbian
🔌 REST API — Full CRUD with OpenAPI/Swagger docs, rate limiting, and scoped API keys
🤖 AI-Agent Ready — /llms.txt, agent-guide.md, 5-tier capability API, compile+preview validation, typed error codes, ?wait=true, Idempotency-Key, run cancellation
🚀 Pipeline Templates — One-click starter templates (Stripe→Postgres, Postgres→BigQuery, CSV→DuckDB) with prefilled connection configs
🔔 Notifications — Slack, Telegram, email, and webhook alerts on run completion, plus an in-app notification center
📦 Self-Hostable — Single docker compose up — no Kubernetes required
git clone https://github.com/datanika-io/datanika-core.git
cd datanika-core
cp .env.example .env
# Edit .env with your settings
docker compose up -d
App available at http://localhost:3000
uv venv && source .venv/bin/activate
uv pip install -e ".[dev]"
docker compose up -d postgres redis # infrastructure only
uv run reflex run # starts on :3000 + :8000
Datanika uses 0.x SemVer with tagged releases (v0.1.0, …). While pre-1.0, breaking
changes bump the minor. There is no 1.0 yet — that will mean a committed, stable
public API contract.
Self-hosting? Pin a release instead of tracking master. master is continuously
deployed to our hosted app and moves several times a day.
git checkout v0.1.0 # source
docker pull ghcr.io/datanika-io/datanika-core:v0.1.0 # image (:latest follows master)
Every version's notes are on the Releases page.
Security advisories cite the first patched release (e.g. Patched: v0.1.0), so a pinned
tag tells you immediately whether you're affected.
The
datanika-mcpsub-package is versioned and released independently (mcp-v*tags, published to PyPI).
| Datanika | Airbyte | Fivetran | dbt Cloud | |
|---|---|---|---|---|
| Extract + Load | ✅ 32 connectors | ✅ 400+ | ✅ 500+ | ❌ |
| Transformations | ✅ dbt built-in | ❌ | ❌ (add-on) | ✅ |
| Scheduling | ✅ Cron + DAG | ✅ Basic | ✅ Basic | ✅ |
| Pipeline DAG | ✅ Visual | ❌ | ❌ | ❌ |
| Self-host | ✅ Docker | ⚠️ Needs K8s | ❌ SaaS only | ❌ SaaS only |
| Open source | ✅ AGPL-3.0 | ⚠️ ELv2 | ❌ | ❌ |
| Notifications | ✅ Slack/Telegram/Email/Webhook | ✅ | ✅ | ✅ |
| Pricing | Free forever | Free tier limited | ~$250+/mo | ~$100+/mo |
| Component | Technology |
|---|---|
| Frontend | Reflex (Python → React) |
| Backend | Starlette (via Reflex) |
| Extract + Load | dlt |
| Transform | dbt-core |
| Database | PostgreSQL 16 |
| Task Queue | Celery + Redis |
| Scheduling | APScheduler |
/llms.txt, agent-guide, 5-tier API, golden-path loop, ?wait=true, Idempotency-Key, run cancel, MCP server)Datanika ships a first-class MCP server so AI agents (Claude Desktop, Claude Code, etc.) can browse connections, preview data, compile transformations, and manage pipelines natively.
# Install and run (read-only by default)
uvx --from "git+https://github.com/datanika-io/datanika-core#subdirectory=datanika-mcp" \
datanika-mcp --url https://app.datanika.io --api-key YOUR_KEY
See datanika-mcp/README.md for Claude Desktop config snippets, the full tool list, and the --allow-write flag.
Additional agent resources:
/llms.txt — discovery document/api/v1/openapi.json — OpenAPI spec with typed inline schemas/api/v1/meta/agent-tiers — 5-tier capability stack (JSON)docs/api_versioning.md — stability tiers and deprecation policyCore platform is open-source (AGPL-3.0).
Cloud version adds billing, quotas, and usage metering via the datanika-cloud plugin.
Found a vulnerability? See SECURITY.md for our disclosure policy, supported versions, and reporting instructions.
We welcome contributors and design partners. Open an issue or contact info@datanika.io.
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