What is Metasearch Mcp

metasearch-mcp is a metasearch MCP server that utilizes the Tavily API to perform query-based searches, providing users with relevant search results in text format.

Use cases

Use cases for metasearch-mcp include searching for local events, gathering information on specific topics, and retrieving data from diverse online resources to assist in decision-making.

How to use

To use metasearch-mcp, download the repository, configure the Claude Desktop settings with your Tavily API key, and restart Claude Desktop. You can then initiate searches by asking queries in Claude Desktop.

Key features

Key features include the ability to perform searches based on specified queries, return AI-generated responses, and provide URIs and titles of search results. It supports both basic and advanced search depths.

Where to use

metasearch-mcp can be used in various fields such as research, information retrieval, event planning, and any context where users need to gather information from multiple sources efficiently.

metasearch MCP server

A MCP server for metasearch

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

2. 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`

3. 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"
    }
  }
}

4. 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

2. Configure Cursor’s MCP Server settings as follows:

Name: tavily-search
Type: command
Command: /path/to/your/script.sh

3. Save the settings.

4. 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/YeonwooSung/metasearch-mcp.git

3. Run Docker compose.

docker compose up -d

4. Execute the client.

docker exec mcp_server uv --directory /usr/src/app/mcp-server-tavily/src run client.py

5. Execution Results
6. After searching for available tools as shown below, a query will be issued to Tavily and a response will be returned