# datanika-mcp

> datanika-mcp — datanika-io-datanika-core. Use this tool when you need to manage and monitor data pipelines, and require a read-only-by-default server to browse connections, introspect source tables, and run dbt transformations. It solves problems related to data pipeline management, compilation, and execution, providing a secure interface with 25 tools, including 17 read-only and 8 write tools. Ideal for use cases involving data transformation, pipeline monitoring, and data exploration, with inputs including database connections and dbt models, and outputs including compiled transformations and pipeline run metrics.

Canonical page: https://skillsregistry.net/skills/datanika-io-datanika-core  
JSON: https://api.skillsregistry.net/v1/skills/datanika-io-datanika-core

## Description

Read-only-by-default MCP server for Datanika, an open-source dlt + dbt-core data pipeline platform: browse connections, introspect and preview source tables, compile and run dbt transformations, and monitor pipeline runs. 25 tools (17 read-only, plus 8 write tools gated behind --allow-write); source lives in the datanika-mcp/ subdirectory of the repo.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fnzeqnfcqx)
- **Repository:** <https://github.com/datanika-io/datanika-core>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "datanika-io-datanika-core"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/datanika-io-datanika-core` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/datanika-io-datanika-core/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt