BrowseAI-Dev vs fetch
Side-by-side comparison to help you pick between these two MCP servers.
BrowseAI-Dev by BrowseAI-HQ | fetch by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 17 | ★ 85,748 |
| 30d uses | — | — |
| Score | 43 | 76 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsSearchWeb Scraping | Web ScrapingAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
BrowseAI-Dev · Summary
BrowseAI Dev provides an evidence-backed web search MCP server with citations and confidence scores to reduce AI hallucinations.
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
BrowseAI-Dev · Use cases
- AI agent research with verified citations
- Fact-checking and content verification
- Multi-agent collaborative research
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
BrowseAI-Dev · Install
Installation
NPM
npm install browseai-devPython
pip install browseaidevLangChain
pip install langchain-browseaidevMCP Configuration (Claude Desktop)
Add to claude_desktop_config.json:
{
"mcpServers": {
"browseai-dev": {
"command": "npx",
"args": ["-y", "@browseai-dev/mcp-server"]
}
}
}Set environment variable: BROWSE_API_KEY=bai_xxx
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"]
}
}
}