Paperzilla is designed for both human reading and programmatic use. This guide focuses on Paperzilla as a data layer for agents.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.
Available interfaces
Use these depending on your workflow:- CLI (
pz) for shell/script execution - MCP (
/api/mcp) for LLM tool-calling workflows - RSS/Atom for polling in feed infrastructure
Recommended setup for agent workflows
- Create and tune projects in the app.
- Authenticate CLI with
pz login. - Use
pz project list --jsonto get the project ID you need from structured output. - Use
pz feed <project-id> --jsonfor browse-style automation, orpz feed search --project-id <id> --query <q> --jsonfor text search across the full feed. - Add filters (
--must-read,--since,--limit,--feedback-filter) based on your workflow.
OpenClaw skill
The Paperzilla CLI is published as an OpenClaw skill on ClawHub. Install it withopenclaw skills install paperzilla to let OpenClaw use pz commands directly. If you already use the separate ClawHub CLI, clawhub install paperzilla also works. See Use the Paperzilla CLI with OpenClaw for the full setup flow.
Codex
Codex works with Paperzilla in two ways. Add Paperzilla MCP from Codex Settings > Integrations & MCP when you want native tool calling. Then confirm the server in/mcp. Use pz directly when Codex already works in a shell or repo. A useful Codex skill should cover setup verification, docs pointers, and the Paperzilla tool sequence, not just “prefer MCP” or “use the CLI.” A plugin is only needed when you want an installable package. See Use Paperzilla with Codex.
Data surfaces you can combine
- App feed for visual review
- CLI for structured automation
- RSS/Atom for polling in feed infrastructure
- Email digests for human review cadence
MCP tool surface
Current tools:projects_listprojects_getfeed_getfeed_searchfeed_atom_urlpaper_getpaper_markdown
feed_title_filter
feed_search when your workflow needs text search across an entire project feed. It is the MCP path for search by title, author, abstract, or summary terms.
Setup details: MCP integration.
Example workflows
- Use OpenClaw and Telegram for research briefs
- Use Codex and Microsoft Teams for research briefs
- Use Claude in Slack for research briefs