fetch vs samyama-graph
Side-by-side comparison to help you pick between these two MCP servers.
fetch by modelcontextprotocol | samyama-graph by samyama-ai | |
|---|---|---|
| Stars | ★ 85,748 | ★ 62 |
| 30d uses | — | — |
| Score | 76 | 48 |
| Official | ✓ | — |
| Categories | Web ScrapingAI / LLM ToolsProductivity | DatabaseKnowledge GraphAI / LLM Tools |
| Language | TypeScript | Rust |
| Last commit | this month | this month |
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
samyama-graph · Summary
High-performance graph-vector database with MCP server support for natural language queries over knowledge graphs.
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
samyama-graph · Use cases
- Biomedical research by querying interconnected medical literature, clinical trials, and drug interactions
- Enterprise knowledge graphs with automatic MCP server generation for AI agents
- Large-scale graph analytics with parallel algorithms for social networks or fraud detection
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"]
}
}
}samyama-graph · Install
# Install Samyama
git clone https://github.com/samyama-ai/samyama-graph && cd samyama-graph
cargo build --release
./target/release/samyama # Starts RESP on :6379 and HTTP on :8080
# Install the MCP server
pip install samyama[mcp]
# Start an MCP server with demo data
samyama-mcp-serve --demo cricketFor Claude Desktop integration:
{
"mcpServers": {
"samyama": {
"command": "python",
"args": ["-m", "samyama.mcp"],
"env": {}
}
}
}