8 Tools Available

Data Platforms MCP Tools

Data Platforms for data integration, transformation and pipeline orchestration.

8
Total Tools
4
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6
Cloud Tools
4
Local Tools

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Data Platforms
Python

databricks-genie-MCP

A server that connects to the Databricks Genie API, allowing LLMs to ask natural language questions, run SQL queries, and interact with Databricks conversational agents.

Cloud
OS
Data Platforms
Python

dbt-docs-mcp

MCP server for dbt-core (OSS) users as the official dbt MCP only supports dbt Cloud. Supports project metadata, model and column-level lineage and dbt documentation.

Local
OS
Data Platforms
Python, Official

dbt-mcp

Official MCP server for [dbt (data build tool)](https://www.getdbt.com/product/what-is-dbt) providing integration with dbt Core/Cloud CLI, project metadata discovery, model information, and semantic layer querying capabilities.

Cloud
Local
OS
Data Platforms
Python

kafka-schema-reg-mcp

Comprehensive Kafka Schema Registry MCP server with 48 tools for multi-registry management, schema migration, and enterprise features.

Cloud
Local
macOS
Windows
Linux
OS
Data Platforms
Python

keboola-mcp-server

interact with Keboola Connection Data Platform. This server provides tools for listing and accessing data from Keboola Storage API.

Unknown
OS
Data Platforms
Python

mcp-databricks-server

Connect to Databricks API, allowing LLMs to run SQL queries, list jobs, and get job status.

Cloud
OS
Data Platforms
TypeScript, Official

mcp-flowcore-platform

Interact with Flowcore to perform actions, ingest data, and analyse, cross reference and utilise any data in your data cores, or in public data cores; all with human language.

Cloud
Local
OS
Data Platforms
TypeScript

qlik-mcp

MCP Server for Qlik Cloud API that enables querying applications, sheets, and extracting data from visualizations with comprehensive authentication and rate limiting support.

Cloud
OS