fetch vs rag-anythink-mcp
Side-by-side comparison to help you pick between these two MCP servers.
fetch by modelcontextprotocol | rag-anythink-mcp by serkanyasr | |
|---|---|---|
| Stars | ★ 85,748 | ★ 6 |
| 30d uses | — | — |
| Score | 76 | 39 |
| Official | ✓ | — |
| Categories | Web ScrapingAI / LLM ToolsProductivity | AI / LLM ToolsKnowledge GraphDatabase |
| Language | TypeScript | Python |
| Last commit | this month | 4 mo ago |
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
rag-anythink-mcp · Summary
MCP server for advanced RAG with knowledge graphs, document processing, and multimodal AI support.
fetch · Use cases
- LLMs reading news articles and blogs
- Content analysis of web pages
- Retrieving information from public websites
- Chunked reading of large web documents
rag-anythink-mcp · Use cases
- Enterprise document management with knowledge graph-based search
- Research paper analysis with multimodal content extraction
- Intelligent question answering over complex technical documents
fetch · Install
Installation
**Using uv (recommended)** No specific installation needed. Use uvx to run the server directly:
uvx mcp-server-fetch**Using PIP** Install via pip:
pip install mcp-server-fetchThen run as:
python -m mcp_server_fetchClaude Desktop Configuration
{
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
}
}
}rag-anythink-mcp · Install
Installation
Quick Start with Docker (Recommended)
# Clone the repository
git clone https://github.com/serkanyasr/rag-anythink-mcp.git
cd rag-anythink-mcp
# Copy environment template
cp .env.example .env
# Edit .env and set your OpenAI API key
# OPENAI_API_KEY=sk-...
# Start all services
docker-compose up -d
# View logs
docker-compose logs -f rag-mcpClaude Desktop Configuration
Add to your Claude Desktop MCP config:
{
"mcpServers": {
"rag-anything": {
"command": "docker-compose",
"args": ["up", "rag-mcp"],
"env": {
"OPENAI_API_KEY": "your-api-key"
}
}
}
}