Fetch (official reference server)
Fetches web pages and converts HTML to markdown so LLMs can read web content. Caution: can reach local/internal IPs.
MCP server by u14app · ★ 4.7k · updated 3 months ago
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
Choose your AI client and copy the config.
Add to claude_desktop_config.json — macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Then restart Claude.
{
"mcpServers": {
"deep-research": {
"command": "docker",
"args": [
"run",
"-d",
"--name",
"deep-research",
"-p",
"3333:3000",
"xiangfa/deep-research"
]
}
}
}Or add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).
{
"mcpServers": {
"deep-research": {
"command": "docker",
"args": [
"run",
"-d",
"--name",
"deep-research",
"-p",
"3333:3000",
"xiangfa/deep-research"
]
}
}
}Or add to .vscode/mcp.json in your workspace.
{
"servers": {
"deep-research": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-d",
"--name",
"deep-research",
"-p",
"3333:3000",
"xiangfa/deep-research"
]
}
}
}Run in your terminal:
claude mcp add deep-research -- docker run -d --name deep-research -p 3333:3000 xiangfa/deep-researchRun the server directly:
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research"env") in the config.Fetches web pages and converts HTML to markdown so LLMs can read web content. Caution: can reach local/internal IPs.
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