fetch vs mcp-memory-libsql

Side-by-side comparison to help you pick between these two MCP servers.

	fetch by modelcontextprotocol	mcp-memory-libsql by spences10
Stars	★ 85,748	★ 84
30d uses	—	—
Score	76	46
Official	✓	—
Categories	Web ScrapingAI / LLM ToolsProductivity	AI / LLM ToolsKnowledge GraphDatabase
Language	TypeScript	TypeScript
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.

mcp-memory-libsql · Summary

High-performance persistent memory system for MCP with vector search and knowledge graph capabilities.

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

mcp-memory-libsql · Use cases

Building AI agents with persistent memory and knowledge graphs
Implementing efficient semantic search and retrieval systems
Creating context-optimized memory storage for LLM applications

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-fetch

Then run as:

python -m mcp_server_fetch

Claude Desktop Configuration

{
  "mcpServers": {
    "fetch": {
      "command": "uvx",
      "args": ["mcp-server-fetch"]
    }
  }
}

mcp-memory-libsql · Install

Installation

Install the server package:

npm install -g mcp-memory-libsql

Configure in your MCP client. For Claude Desktop:

{
  "mcpServers": {
    "mcp-memory-libsql": {
      "command": "npx",
      "args": ["-y", "mcp-memory-libsql"],
      "env": {
        "LIBSQL_URL": "file:/path/to/your/database.db"
      }
    }
  }
}

Set the LIBSQL_URL environment variable to specify your database location (default: file:/memory-tool.db)

Comparison generated from public README + GitHub signals. Last updated automatically.