Data Agents Platform MCP Server

@HotTechStack

Basic information

About Data Agents Platform MCP Server

Data Agents are intelligent assistants built by data engineers to help non-data professionals navigate the organization’s data infrastructu

#data-science #database#dataengineering#genai #agentic-ai #mcp-server

Data Agents Platform MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Data Agents Platform MCP Server tools

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Overview

What is 🤖 Data Agents Platform?

The platform is an agentic AI that uses generative AI to automate and streamline data engineering workflows. It enables multi-agent collaboration with specialized data engineering agents and supports multiple AI backends.

How to use 🤖 Data Agents Platform?

Deploy with Docker Compose or run locally with pnpm. After starting containers, upload the n8n workflow, configure API keys in Docker Compose and n8n, then visit http://localhost:3000 to interact with agents.

Key features of 🤖 Data Agents Platform

Multi-agent collaboration with specialized data engineering agents
Multiple backend support (OpenAI, Claude, Gemini, Ollama)
n8n integration for agent orchestration
Strategy-based approach for various data engineering tasks
Modern dark UI inspired by LobeChat
Docker ready with Docker Compose

Use cases of 🤖 Data Agents Platform

Automate data pipeline building with Pipeline Engineer agent
Design data infrastructure using Data Architect agent
Analyze and interpret complex data with Data Analyst agent
Apply statistical models with Data Scientist agent
Ensure data quality and compliance with Governance Specialist agent

Frequently asked questions

What AI backends does it support?

It supports OpenAI, Claude, Gemini, and Ollama for private deployments.

Can I run the platform without Docker?

Yes, you can run locally using `pnpm install` and `pnpm run dev`, optionally with your own hosted n8n instance.

How do I configure API keys?

Update API keys in the Docker Compose file or directly in the n8n workflow blocks for each model provider.

What is the current development status?

The project is in Alpha stage.

Comments

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