mcp-server logo
mcp-server
★ 85
vs
deep-research logo
deep-research
★ 4.7k

mcp-server vs deep-research

mcp-server: Keboola MCP Server is an open-source bridge that connects Keboola projects with various AI tools and assistants, enabling AI agents to access and utilize Keboola features like data storage, SQL transformations, and job triggers. It transforms Keboola functionalities into callable tools, simplifying data exposure and management for AI-driven workflows without requiring glue code.; deep-research: Deep Research is an AI-powered tool designed to generate comprehensive research reports rapidly, leveraging advanced AI models and internet connectivity. It prioritizes user privacy by processing and storing all data locally.

01

TL;DR

mcp-server logo
mcp-serverRAG / Knowledge Base · ★ 85

Explore Keboola data using natural language queries to find information or specific data points.

deep-research logo
deep-researchRAG / Knowledge Base · ★ 4.7k

Rapidly generate in-depth research reports for personal and professional use.

02

Side-by-Side Comparison

Field
mcp-server logomcp-server
deep-research logodeep-research
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 85
★ 4.7k
License
MIT
MIT
Install Command
docker pull keboola/mcp-server:latest && docker run --name keboola_mcp_server --rm -it -p 127.0.0.1:8000:8000 -e KBC_STORAGE_API_URL="https://connection.YOUR_REGION.keboola.com" -e KBC_STORAGE_TOKEN="YOUR_KEBOOLA_STORAGE_TOKEN" -e KBC_WORKSPACE_SCHEMA="YOUR_WORKSPACE_SCHEMA" -e KBC_BRANCH_ID="YOUR_BRANCH_ID_OPTIONAL" keboola/mcp-server:latest --transport streamable-http --host 0.0.0.0
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
Updated
1d ago
4mo ago
Open Source
Yes
Yes
Tags
AI Agents, Keboola, Data Integration
AI Research, LLM, Privacy-focused
03

Features

mcp-server logomcp-server
01Storage: Query and manage data tables/buckets directly.
02SQL: Create SQL transformations using natural language.
03Jobs: Run components and transformations, and retrieve job execution details.
04Flows: Build and manage workflow pipelines using Conditional and Orchestrator Flows.
05Dev Branches: Work safely in development branches without affecting production data.
deep-research logodeep-research
01Rapidly generates comprehensive research reports in minutes.
02Ensures privacy by processing and storing all data locally in the browser.
03Supports a wide range of mainstream large language models (LLMs).
04Integrates with various web search engines for enhanced information gathering.
05Allows uploading and processing local files to build a knowledge base.
04

Use Cases

mcp-server logomcp-server
↳Explore Keboola data using natural language queries to find information or specific data points.
↳Analyze data and find correlations through AI agents for tasks like sales analysis or trend identification.
↳Create SQL transformations and manage data extraction jobs, automating data pipeline operations.
deep-research logodeep-research
↳Rapidly generate in-depth research reports for personal and professional use.
↳Serve as a deep research as a service (SaaS) platform via SSE API.
↳Integrate deep research functionality into other AI applications using MCP.
FAQ

FAQ

What is the difference between mcp-server and deep-research?
Both mcp-server and deep-research are in the RAG / Knowledge Base category. mcp-server has 85 stars, while deep-research has 4.7k stars.
Which is better, mcp-server or deep-research?
The best choice depends on your use case. Choose mcp-server if Explore Keboola data using natural language queries to find information or specific data points., and deep-research if Rapidly generate in-depth research reports for personal and professional use..
Is mcp-server free or open source?
Yes, mcp-server is open source on GitHub (MIT).
Is deep-research free or open source?
Yes, deep-research is open source on GitHub (MIT).
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