Decompose user queries and run parallel searches across connected MCP sources.
npx skills add https://github.com/openyak/desktop --skill search-openyak
Please help me install this Agent Skill. Skill: search Source: https://github.com/openyak/desktop/tree/main/backend/app/data/plugins/enterprise-search/skills/search Command: npx skills add https://github.com/openyak/desktop --skill search-openyak
Consolidate queries across all MCP sources into a single, coherent search and return a synthesized answer, reducing time spent cross-referencing tools.
Ask to search across all connected MCP sources in one query.
High-intent search queries and answers about installing and using this skill.
You can search across all connected MCP sources simultaneously by submitting a single query. The search decomposes your question and runs parallel queries across chat, email, storage, CRM, and project trackers, returning a synthesized, ranked results set with source metadata.
Finding a decision that spans a chat thread, an email, and a file requires querying multiple tools at once. This multi-source search breaks down your query, runs parallel searches across connected sources, and presents a unified result consolidating the related discussion and file.
Yes, you can query connected knowledge bases and CRM records together in one search. The process identifies all available sources, parses your query, and simultaneously searches across them to produce a single synthesized answer with source metadata.
No, you do not need to manually specify sources for a multi-source knowledge search. The process automatically identifies all available connected MCP sources, decomposes your query, and runs parallel searches across them to return a unified, ranked results set.
Multi-source search works with any chat, email, cloud storage, project trackers, CRM, or knowledge bases connected via MCP. It parses your query and runs parallel searches across all identified connections to synthesize a unified result.
A multi-source query returns a synthesized answer to reduce time spent cross-referencing tools. It decomposes your question, runs parallel searches across connected sources, and synthesizes the findings into a single, coherent, ranked results set with source metadata.
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