> ## Documentation Index
> Fetch the complete documentation index at: https://docs.paperzilla.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Can Paperzilla MCP search across an entire project feed?

> Yes. Paperzilla MCP supports full-feed project search with the feed_search tool.

export const AiAgents = ({path}) => <Tip>
    <b>AI agents</b>: This page is available as <a href={path + '.md'}>markdown</a>. See also the <a href="/llms.txt">docs index</a> and <a href="/llms-full.txt">full docs</a>.
  </Tip>;

<AiAgents path="/answers/can-paperzilla-mcp-search-across-an-entire-project-feed" />

Yes.

Use the `feed_search` tool.

`feed_search` searches across the full project feed, not just currently visible items. It searches:

* title
* author names
* abstract text
* summary text

You can also add:

* `feedback_filter`
* `must_read`
* `limit`
* `offset`

Search is server-side and rank-first. It returns `items`, `limit`, `offset`, `has_more`, and `query`.

Paperzilla also accepts the legacy alias `feed.search`, but new MCP clients should use `feed_search`.

See:

* [Use Paperzilla with MCP](/guides/mcp)
* [MCP endpoint (developer appendix)](/api-reference/mcp)