Parallel Search
About
Real-time web search and content extraction
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- Author
- Parallel Search
- Downloads
- 1,699
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- SSE
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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
Parallel SearchCommand (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": {
"parallel": {
"type": "http",
"url": "https://search.parallel.ai/mcp"
}
}
}
web_search
Purpose: Perform web searches and return LLM-friendly results, including excerpts that are usually sufficient to answer directly without a follow-up fetch. Ideal Use Cases: - Answering questions that require fresh or current information - Research, comparison, documentation, and troubleshooting questions - Broad tasks where multiple `search_queries` can be issued in a single call
web_fetch
Purpose: Fetch and extract relevant content from specific web URLs. Use only when web_search excerpts are insufficient for the task at hand. Ideal Use Cases: - The user asked about a specific URL or page - You need exact wording or quotes that excerpts may have truncated - You need full-page analysis (long article, document, or page structure) - web_search excerpts are conflicting or clearly insufficient to answer
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"parallel search": {
"parallel": {
"type": "http",
"url": "https://search.parallel.ai/mcp"
}
}
}
}McpServers
{
"parallel": {
"type": "http",
"url": "https://search.parallel.ai/mcp"
}
}Parallel Search provides real-time web search and content extraction for search-grounded AI workflows. Its remote MCP server helps assistants retrieve current web context, inspect pages, and use extracted content when answering questions or researching topics that require fresh information.
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