DuckDuckGo MCP Agent
Provides web search capabilities using DuckDuckGo, allowing LLMs to perform searches with parameters like query, region, safesearch, and timelimit.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@DuckDuckGo MCP Agentsearch for latest advancements in AI"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
DuckDuckGo MCP Agent
A minimal, production-ready Model Context Protocol (MCP) server enabling LLMs to perform web searches via DuckDuckGo. Built with FastAPI and Server-Sent Events (SSE).
Features:
✅ Single-file implementation (~324 lines)
✅ No API keys required
✅ HTTP + SSE streaming (LM Studio compatible)
✅ Docker-ready
✅ Minimal dependencies (FastAPI, Uvicorn, duckduckgo-search)
Quick Start
Prerequisites
Python 3.10+ or Docker
LM Studio (optional)
Option 1: Dev Container (Recommended)
Install VS Code and Docker Desktop
Install Dev Containers extension
Open folder in VS Code → "Reopen in Container"
Option 2: Local Development
make install-dev
make run-dev
# Server: http://localhost:8000Option 3: Docker
make docker-build
make docker-run
# Or: make docker-composeRelated MCP server: web-mcp-server
Usage
HTTP Request
curl -X POST http://localhost:8000/ \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "web_search",
"arguments": {"query": "Python async", "all_results": true, "region": "us-en", "safesearch": "moderate", "timelimit": "w"}
}
}'MCP Protocol
Initialize:
{"method": "initialize", "id": 1}List Tools:
{"method": "tools/list", "id": 2}Call Search:
{
"method": "tools/call",
"id": 3,
"params": {
"name": "web_search",
"arguments": {"query": "your query", "max_results": 5, "all_results": false, "region": "wt-wt", "safesearch": "moderate"}
}
}LM Studio Configuration
Add to mcp-config.json:
{
"mcpServers": {
"duckduckgo-search": {
"type": "http",
"url": "http://localhost:8000",
"disabled": false
}
}
}Architecture
Data Flow:
LM Studio → POST / (JSON-RPC) → FastAPI → SSE Events → Client
↓
MCP Handlers (initialize, tools/list, tools/call)
↓
DuckDuckGo Search APIKey Components:
mcp_http_sse_server.py- Single FastAPI app with async streamingrequirements.txt- Dependencies onlyDockerfile- Production & dev stagesdocker-compose.yml- Orchestrationtest-mcp-sse.py- Integration tests
Development
Make Commands
make help # Show all commands
make install-dev # Install dev dependencies
make run-dev # Run with auto-reload
make test # Run tests
make lint # Ruff + mypy type checking
make format # Black + ruff auto-format
make clean # Remove build artifacts
make docker-build # Build Docker image
make docker-compose # Run with Docker ComposeCode Quality
make format # Auto-format code
make lint # Run lintersConfiguration
Environment Variables
Variable | Default | Purpose |
|
| Verbose logging |
|
| Dev mode |
|
| Log level |
|
| Server port |
Docker
Set in docker-compose.yml:
environment:
- MCP_ENVIRONMENT=development
- MCP_LOG_LEVEL=INFOProduction requires: mcp_http_sse_server.py + requirements.txt
API Reference
Response Format (SSE)
event: message
data: {"jsonrpc": "2.0", "id": 1, "result": {...}}
event: done
data: {}Search Tool
Input:
query(string, required)max_results(int, 1-10, default 5). Ignored whenall_resultsis true.all_results(boolean, default false): fetch maximum results (capped at 10)region(string, defaultwt-wt)safesearch(string enum:off|moderate|strict, defaultmoderate)timelimit(string enum:d|w|m|y, optional)
Output: Formatted markdown with title, URL, snippet
Contributing
Keep this project minimal:
Single-file design (avoid modularization)
MCP protocol compliance
Test with real LM Studio
Run
make format && make lintbefore submission
Support
Examples: test-mcp-sse.py
Debugging: Set
MCP_DEBUG=trueConfig: See mcp-config.json
Changelog
1.2.0: Add
all_resultsflag (internal cap 100) to support larger result sets; bump version and docs.1.1.0: Improved DuckDuckGo search with region/safesearch/timelimit parameters; better markdown formatting; version surfaced in initialize.
License
See LICENSE
This server cannot be deployed
Maintenance
Related MCP Connectors
Docs: https://docs.keenable.ai/mcp-server Keenable is a free, remote MCP server that gives agents access to the web index. Search the web with ranked results and date/site filters, then fetch any indexed page as clean markdown. Works out of the box with no account or API key.
MCP server for Google search results via SERP API
Serper MCP — wraps the Serper Google Search API (serper.dev)
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