fetch vs wikipedia-mcp
Side-by-side comparison to help you pick between these two MCP servers.
fetch by modelcontextprotocol | wikipedia-mcp by Rudra-ravi | |
|---|---|---|
| Stars | ★ 85,748 | ★ 250 |
| 30d uses | — | — |
| Score | 76 | 52 |
| Official | ✓ | — |
| Categories | Web ScrapingAI / LLM ToolsProductivity | AI / LLM ToolsSearchKnowledge Graph |
| Language | TypeScript | Python |
| Last commit | this month | 1 mo ago |
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
wikipedia-mcp · Summary
An MCP server providing Wikipedia access with search, article retrieval, summaries, and multi-language 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
wikipedia-mcp · Use cases
- Enhance AI responses with verified, up-to-date information from Wikipedia
- Build research assistants that can fact-check against reliable sources
- Create multilingual knowledge bots that access content in different languages
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"]
}
}
}wikipedia-mcp · Install
Using pipx (Recommended for Claude Desktop)
pip install pipx
pipx ensurepath
pipx install wikipedia-mcpConfiguration for Claude Desktop
{
"mcpServers": {
"wikipedia": {
"command": "wikipedia-mcp"
}
}
}