Paper Lantern
Research intelligence for AI coding agents. 2M+ CS papers with evidence and tradeoffs.
Open source Repository Open in the app JSON README (API)
About
Research intelligence for AI coding agents. 2M+ CS papers with evidence and tradeoffs.
Details
- Kind
- MCP servers
- Topic
- No topic detected
- Publisher
- ai.paperlantern
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 0.3.1
- Last push
- 2026-04-21T06:03:41Z
- Repository state
- ativo
- Language
- TypeScript
- License
- MIT
- Added
- 2026-08-29 03:00:12
- Updated
- 2026-08-29 03:00:12
- Origin id
ai.paperlantern/code
README
# paperlantern Research intelligence that makes your AI coding agent smarter - one command setup. [Paper Lantern](https://paperlantern.ai) gives your AI coding agent access to 2M+ CS research papers - the right technique for your problem, with tradeoffs, benchmarks, and implementation guidance. ## Quick start ``` npx paperlantern@latest ``` That's it. Pick your agents, log in, and Paper Lantern is configured. ## Supported agents - Claude Code - Cursor - Windsurf - GitHub Copilot (VS Code) - Codex - Gemini CLI - Cline Prefer to set up manually, or using a client not listed above? See [paperlantern.ai/docs](https://paperlantern.ai/docs) for per-agent config snippets and the raw MCP endpoint. ## What it does The setup CLI: 1. Authenticates via OAuth (opens browser) 2. Configures the MCP server for your selected agents 3. Installs agent rules so your agent knows when to use Paper Lantern ## Tools available Once configured, your agent gets these tools: | Tool | What it does | |------|-------------| | `explore_approaches` | Survey 4-6 approach families with evidence and tradeoffs | | `deep_dive` | Investigate one technique in depth - implementation, hyperparameters, failure modes | | `compare_approaches` | Side-by-side comparison of 2-3 candidates | | `check_feasibility` | GO / PROTOTYPE / RECONSIDER verdict given your constraints | | `give_feedback` | Tell us what helped and what didn't | ## When your agent uses Paper Lantern Paper Lantern activates when your agent is making technical decisions where research evidence could improve the outcome - choosing between algorithms, architectures, or techniques. It does **not** activate for syntax questions, library lookups, debugging, or general programming tasks. ## Links - [Website](https://paperlantern.ai) - [Setup guide](https://paperlantern.ai/docs/setup)