parquet_mcp_server
Description
# parquet_mcp_server [](https://smithery.ai/server/@DeepSpringAI/parquet_mcp_server) A powerful MCP (Model Control Protocol) server that provides tools for performing web searches and finding similar…
About
# parquet_mcp_server [](https://smithery.ai/server/@DeepSpringAI/parquet_mcp_server) A powerful MCP (Model Control Protocol) server that provides tools for performing web searches and finding similar content. This server is designed to work…
Details
- Author
- DeepSpringAI
- GitHub stars
- 2
- Downloads
- 156
- Categories
- Search, Other, AI
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Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
parquet_mcp_serverCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
{
"mcpServers": {
"search_mcp_server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@DeepSpringAI/parquet_mcp_server",
"--client",
"claude"
]
}
}
}
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"parquet_mcp_server": {
"search_mcp_server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@DeepSpringAI/parquet_mcp_server",
"--client",
"claude"
]
}
}
}
}McpServers
{
"search_mcp_server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@DeepSpringAI/parquet_mcp_server",
"--client",
"claude"
]
}
}parquet_mcp_server
A powerful MCP (Model Control Protocol) server that provides tools for performing web searches and finding similar content. This server is designed to work with Claude Desktop and offers two main functionalities:
1. Web Search: Perform a web search and scrape results
2. Similarity Search: Extract relevant information from previous searches
This server is particularly useful for:
- Applications requiring web search capabilities
- Projects needing to find similar content based on search queries
Installation
Installing via Smithery
To install Parquet MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @DeepSpringAI/parquet_mcp_server --client claude
Clone this repository
git clone ...
cd parquet_mcp_server
Create and activate virtual environment
uv venv
.venv\Scripts\activate # On Windows
source .venv/bin/activate # On macOS/Linux
Install the package
uv pip install -e .
Environment
Create a .env file with the following variables:
EMBEDDING_URL=http://sample-url.com/api/embed # URL for the embedding service
OLLAMA_URL=http://sample-url.com/ # URL for Ollama server
EMBEDDING_MODEL=sample-model # Model to use for generating embeddings
SEARCHAPI_API_KEY=your_searchapi_api_key
FIRECRAWL_API_KEY=your_firecrawl_api_key
VOYAGE_API_KEY=your_voyage_api_key
AZURE_OPENAI_ENDPOINT=http://sample-url.com/azure_openai
AZURE_OPENAI_API_KEY=your_azure_openai_api_key
Usage with Claude Desktop
Add this to your Claude Desktop configuration file (claude_desktop_config.json):
{
"mcpServers": {
"parquet-mcp-server": {
"command": "uv",
"args": [
"--directory",
"/home/${USER}/workspace/parquet_mcp_server/src/parquet_mcp_server",
"run",
"main.py"
]
}
}
}
Available Tools
The server provides two main tools:
1. Search Web: Perform a web search and scrape results
- Required parameters:
- queries: List of search queries
- Optional parameters:
- page_number: Page number for the search results (defaults to 1)
2. Extract Info from Search: Extract relevant information from previous searches
- Required parameters:
- queries: List of search queries to merge
Example Prompts
Here are some example prompts you can use with the agent:
For Web Search:
"Please perform a web search for 'macbook' and 'laptop' and scrape the results from page 1"
For Extracting Info from Search:
"Please extract relevant information from the previous searches for 'macbook'"
Testing the MCP Server
The project includes a comprehensive test suite in the src/tests directory. You can run all tests using:
python src/tests/run_tests.py
Or run individual tests:
```bash
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