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Parallel Search Mcp

@parallel-web

About Parallel Search Mcp

Searches the Web

Basic information

Category

Search

Transports

stdio

Publisher

parallel-web

Submitted by

janwilmake

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "Parallel Search MCP": {
      "url": "https://search-mcp.parallel.ai/mcp"
    }
  }
}

Tools

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Overview

What is Parallel Search MCP?

The Parallel Search MCP allows using the Parallel Search API from within any MCP-compatible LLM client. It is meant for daily use for everyday smaller web-search tasks.

How to use Parallel Search MCP?

Configure your MCP-compatible client with the server URL https://search-mcp.parallel.ai/mcp as shown in the installation JSON. For more details, refer to the official installation instructions and MCP docs.

Key features of Parallel Search MCP

  • Integrates Parallel Search API with MCP-compatible LLM clients.
  • Designed for everyday smaller web-search tasks.
  • Supports OAuth via a proxy server.
  • Can be run locally or accessed remotely.
  • One-click install via the provided badge.

Use cases of Parallel Search MCP

  • Perform quick web searches from within an LLM chat interface.
  • Retrieve current information for everyday queries.

FAQ from Parallel Search MCP

Where can I find the official installation instructions?

The official installation instructions are available at https://docs.parallel.ai/integrations/mcp/installation.

What does the proxy server do?

The proxy server at https://search-mcp.parallel.ai forwards /mcp to the backend and adds minimally needed additions to make it work with OAuth.

Is Parallel Search MCP free to use?

The README does not specify pricing; refer to the Parallel Search API documentation for details.

What clients are compatible with Parallel Search MCP?

Any MCP-compatible LLM client can use this server, as it follows the Model Context Protocol.

Does Parallel Search MCP require an internet connection?

Yes, since it calls the Parallel Search API remotely.

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