remote-mcp-server
★ 166
vs
ragflow
★ 92.7k
remote-mcp-server vs ragflow
remote-mcp-server: The Glean Remote MCP Server securely connects enterprise knowledge with AI assistants and developer tools. It implements the Model Context Protocol to provide real-time, permission-aware access to company documents, people, and data.; 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.
01
TL;DR
remote-mcp-serverRAG / Knowledge Base · ★ 166
Integrate enterprise knowledge with AI assistants (LLMs).
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.
02
Side-by-Side Comparison
Field
remote-mcp-serverragflowCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 166
★ 92.7k
License
MIT
Apache-2.0
Install Command
git clone https://github.com/gleanwork/remote-mcp-server.git
docker compose -f docker-compose.yml up -d
Updated
6mo ago
1d ago
Open Source
Yes
Yes
Tags
Remote Server, Model Context Protocol, Enterprise Knowledge
RAG, AI Agent, LLM
03
Features
remote-mcp-server01Enterprise Knowledge Access
02People & Expertise Discovery
03Permission-Aware
04OAuth 2.0 Authentication
05Streamable HTTP Transport
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.
04
Use Cases
remote-mcp-server↳Integrate enterprise knowledge with AI assistants (LLMs).
↳Provide secure data access for developer tools and agents.
↳Enable natural language interaction with company documents and people.
↳Facilitate information retrieval while respecting access permissions.
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.
05
Best For
remote-mcp-server—
ragflowMost PopularEssentialTrending
FAQ
FAQ
What is the difference between remote-mcp-server and ragflow?
Both remote-mcp-server and ragflow are in the RAG / Knowledge Base category. remote-mcp-server has 166 stars, while ragflow has 92.7k stars.
Which is better, remote-mcp-server or ragflow?
The best choice depends on your use case. Choose remote-mcp-server if Integrate enterprise knowledge with AI assistants (LLMs)., and ragflow if Building high-fidelity, production-ready AI systems with complex data..
Is remote-mcp-server free or open source?
Yes, remote-mcp-server is open source on GitHub (MIT).
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→