> ## 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.

# How do I search a project feed through Paperzilla MCP?

> Call feed_search with a project ID and query to search a full Paperzilla project feed through MCP.

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/how-do-i-search-a-project-feed-through-paperzilla-mcp" />

Call `feed_search`.

At minimum, pass:

* `project_id`
* `q`

You can also pass:

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

What comes back:

* `items`
* `limit`
* `offset`
* `has_more`
* `query`

Use `offset` and `limit` to fetch the next page only when `has_more` is `true`.

Search uses prefix matching, so `Proxi` matches `Proximity`.

If your MCP client still uses legacy dotted tool names, `feed.search` still works. New integrations should prefer `feed_search`.

See:

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