MCP Server

Parallel Web Search AI Integration

Turn Parallel Web Search into an execution layer for Pickaxe so your AI can automate search insight workflows. Ship faster with fewer repetitive steps.

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Parallel Web Search

Capabilities

1 capability

web_search_preview

Purpose: Perform web searches for a given objective and return results in an LLM-friendly format and with parameters tuned for LLMs. Ideal Use Cases: - For live queries that benefit from updated data from the web. - When needing to gather information from multiple sources at once or gathering detailed information from a single source. Performance Benefits: - Ability to handle complex queries more effectively. - Controllability in output size and sources considered. Examples: - Performing a broad search on a topic with multiple facets. - Enquiring about a specific detail on a topic. How to use: - For multi-hop queries, first try to use list to narrow down sources. Then use targeted with include_domains to get more detailed results. - If you have budget or multi turn capabilities, start with list searches first.

Type: string

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