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Yeonwoosung Metasearch Mcp

@MCP-Mirroron 10 months ago
1 MIT
FreeCommunity
AI Systems
Mirror of https://github.com/YeonwooSung/metasearch-mcp

Overview

What is Yeonwoosung Metasearch Mcp

YeonwooSung_metasearch-mcp is a metasearch MCP server that utilizes the Tavily API to perform searches based on specified queries, returning results in text format.

Use cases

Use cases include searching for events, retrieving information on specific topics, and finding resources related to user queries in a conversational manner.

How to use

To use YeonwooSung_metasearch-mcp, clone the repository from GitHub, configure the Claude Desktop settings to include the server details, and restart Claude Desktop. You can then perform searches by asking queries in Claude Desktop.

Key features

Key features include the ability to perform basic or advanced searches, return search results that include AI responses, URIs, and titles, and utilize the Tavily API for enhanced search capabilities.

Where to use

YeonwooSung_metasearch-mcp can be used in various fields that require information retrieval, such as research, event planning, and content discovery.

Content

metasearch MCP server

A MCP server for metasearch

tavily-search MCP server

Components

This server uses the Tavily API to perform searches based on specified queries.

  • Search results are returned in text format.
  • Search results include AI responses, URIs, and titles of the search results.

Tools

This server implements the following tools:

  • search: Performs searches based on specified queries
    • Required argument: “query”
    • Optional argument: “search_depth” (basic or advanced)

Install

  1. Download the repository.
git clone https://github.com/YeonwooSung/metasearch-mcp.git
  1. Open the Claude Desktop configuration file.
On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`
On Windows: `C:\Users\[username]\AppData\Roaming\Claude\claude_desktop_config.json`
  1. Edit the configuration file as follows:
"mcpServers": {
  "tavily-search": {
    "command": "uv",
    "args": [
      "--directory",
      "C:\\your_path\\mcp-server-tavily",
      "run",
      "tavily-search"
    ],
    "env": {
      "TAVILY_API_KEY": "YOUR_TAVILY_API_KEY",
      "PYTHONIOENCODING": "utf-8"
    }
  }
}
  1. Restart Claude Desktop.

Usage

In Claude Desktop, when you ask “Please search for something”, you will receive search results.

Search example:

Please search in detail for today's events in Kamakura

Response example:

According to the search results, the following events start today, December 1st:
"Kamakura Promotion Photo Contest 2025"
Period: December 1, 2024 - January 31, 2025
A photo contest for those who love Kamakura
Applications start accepting from today
Also, as a related upcoming event:
On December 7th, an exhibition by 12 Kamakura artists will be held at the Seibu Press Inn Kamakura Ofuna Station East Exit Lounge.

Log Storage Location

Logs are stored in the following location:

For Windows:

C:\Users\[username]\AppData\Roaming\Claude\logs\mcp-server-tavily-search

Execution with Cursor

  1. Create a shell script (e.g., script.sh) as shown below:
#!/bin/bash
TARGET_DIR=/path/to/mcp-server-tavily
cd "${TARGET_DIR}"
export TAVILY_API_KEY="your-api-key"
export PYTHONIOENCODING=utf-8
uv --directory $PWD run tavily-search
  1. Configure Cursor’s MCP Server settings as follows:
Name: tavily-search
Type: command
Command: /path/to/your/script.sh
  1. Save the settings.

  2. Once the settings are saved, you can ask Cursor’s Composer-Agent to “search for something,” and it will return the search results.

Running in Local Environment Using Docker Compose

Purpose

For operating systems other than Windows/MacOS where Claude Desktop cannot be used,
this section explains how to set up and run an MCP server and client in a local environment
using Docker compose.

Steps

  1. Install Docker.
  2. Download the repository.
git clone https://github.com/Tomatio13/mcp-server-tavily.git
  1. Run Docker compose.
docker compose up -d
  1. Execute the client.
docker exec mcp_server uv --directory /usr/src/app/mcp-server-tavily/src run client.py
  1. Execution Results
  2. After searching for available tools as shown below, a query will be issued to Tavily and a response will be returned

Tools

No tools

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