ragflow
★ 92.7k
vs
mcp-server
★ 85
ragflow vs mcp-server
ragflow: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that integrates RAG with Agent capabilities. It provides a superior context layer for LLMs and offers a streamlined RAG workflow adaptable to enterprises of any scale.; 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.
01
TL;DR
ragflowRAG / Knowledge Base · ★ 92.7k
When to choose:
- Your documents have complex layouts (PDFs, scanned files, tables, slides) and you need layout analysis, OCR, and traceable citations.
- You want an Apache-2.0 all-in-one RAG platform where you can inspect and hand-tune template-based chunks in a web UI.
When to skip:
- Your server has less than 4 CPU cores and 16 GB RAM; RAGFlow's multi-service stack is heavy.
- You want an autonomous web research agent that writes 2,000-word reports from live search rather than indexing a local document corpus; GPT Researcher fits better.
mcp-serverRAG / Knowledge Base · ★ 85
Explore Keboola data using natural language queries to find information or specific data points.
02
Side-by-Side Comparison
Field
ragflowmcp-serverCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 92.7k
★ 85
License
Apache-2.0
MIT
Install Command
docker compose -f docker-compose.yml up -d
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
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
RAG, AI Agent, LLM
AI Agents, Keboola, Data Integration
03
Features
ragflow01Deep document understanding for knowledge extraction from unstructured data.
02Intelligent and template-based chunking with explainable options.
03Grounded citations with reduced hallucinations and traceable references.
04Compatibility with heterogeneous data sources including documents, images, and web pages.
05Automated and effortless RAG workflow orchestration with configurable models and fused re-ranking.
mcp-server01Storage: 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.
04
Use Cases
ragflow↳Building high-fidelity, production-ready AI systems with complex data.
↳Developing enterprise-scale knowledge base and intelligent Q&A chatbots.
↳Facilitating intelligent document processing and advanced information retrieval.
mcp-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.
05
Best For
ragflowMost PopularEssentialTrending
mcp-server—
FAQ
FAQ
What is the difference between ragflow and mcp-server?
Both ragflow and mcp-server are in the RAG / Knowledge Base category. ragflow has 92.7k stars, while mcp-server has 85 stars.
Which is better, ragflow or mcp-server?
The best choice depends on your use case. Choose ragflow if Building high-fidelity, production-ready AI systems with complex data., and mcp-server if Explore Keboola data using natural language queries to find information or specific data points..
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Is mcp-server free or open source?
Yes, mcp-server is open source on GitHub (MIT).
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