Parallel Search is now free for agents via MCP

Parallel Search introduces a real-time web access feature for AI agents, designed specifically for large language models (LLMs), offering dense excerpts, native markdown, and a vast index of billions of pages. It is now freely accessible for AI tools like Cursor, Claude Code, OpenClaw, Hermes Agent, and OpenCode without requiring an account or API key. The Model Context Protocol (MCP), which facilitates this connection, provides two primary functionalities: web_search, for real-time ranked URLs and query-relevant excerpts, and web_fetch, for extracting clean markdown from various public URLs, including those with JS-heavy content or CAPTCHA protection. Parallel Search is compatible with any MCP client, and users can integrate it into their systems by configuring the appropriate MCP settings for their chosen client, such as Claude Code or VS Code Copilot. The service offers generous rate limits for personal use, with options for higher limits and additional features available through a paid version.

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