Enables web searches using DuckDuckGo and integrates with Model Context Protocol (MCP) for advanced result exploration.
DuckDuckGo Search MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Enables web searches using DuckDuckGo and integrates with Model Context Protocol (MCP) for advanced result exploration.
A Model Context Protocol (MCP) server that provides web search capabilities using DuckDuckGo. This server enables LLMs to search the web and retrieve detailed content from websites through structured data extraction.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Once DuckDuckGo Search is connected, these are the calls the assistant has available:
Cursor — The Cursor tool exposed by this serverWindsurf — Follow Windsurf MCP documentation. Use the standard config aboveGoose — The Goose tool exposed by this serverYou will need one environment variable: MCP_PORT. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. DuckDuckGo Search's toolset — Cursor, Windsurf, Goose — is a fair guide to whether it matches your workflow. It is maintained by gianlucamazza; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against DuckDuckGo Search's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Cursor | The Cursor tool exposed by this server. |
| Windsurf | Follow Windsurf MCP [documentation](https://docs.windsurf.com/windsurf/cascade/mcp). Use the standard config above. |
| Goose | The Goose tool exposed by this server. |
{
"mcpServers": {
"duckduckgo-search": {
"command": "mcp-duckduckgo"
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| MCP_PORT | Configuration value read at startup. | Optional |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.