DuckDuckGo Search with MCP Agent

Created By
alihassanmla year ago
This project demonstrates how to use DuckDuckGo MCP Server with a LangChain Groq LLM agent to perform intelligent search tasks via MCP (Micro Component Protocol).
Overview

what is DuckDuckGo Search with MCP Agent?

DuckDuckGo Search with MCP Agent is a project that demonstrates the integration of DuckDuckGo's MCP Server with a LangChain Groq LLM agent to perform intelligent search tasks using the Micro Component Protocol (MCP).

how to use DuckDuckGo Search with MCP Agent?

To use this project, clone the repository, install the required dependencies, set up your environment variables, and run the main script to start the MCP client and perform smart searches.

key features of DuckDuckGo Search with MCP Agent?

  • Integration with DuckDuckGo MCP Server for search capabilities
  • Utilization of Groq LLM for advanced reasoning
  • Asynchronous execution in Python
  • Simple and modular design for easy use

use cases of DuckDuckGo Search with MCP Agent?

  1. Performing intelligent searches for specific queries.
  2. Integrating with other applications that require search functionalities.
  3. Utilizing advanced language models for enhanced search results.

FAQ from DuckDuckGo Search with MCP Agent?

  • What is MCP?

MCP stands for Micro Component Protocol, which allows for modular and efficient communication between components.

  • Do I need to install any specific software to run this project?

Yes, you need to install the MCP Server and the required Python libraries as specified in the requirements.txt file.

  • Is this project open source?

Yes, this project is licensed under the MIT License, making it open source.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
alihassanml
Star
1
Language
Python
License
MIT license

Recommend Servers

View All
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

a day ago