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Paper Lantern

@paperlanternRun by its publisher: served from their own domain, namespace checked by the registry.MCP server · External

Research intelligence for AI coding agents. 2M+ CS papers with evidence and tradeoffs.

Academic papersv0.3.1MITTypeScript
Freeno charge per call

One address for any MCP client. Your key stays in your Odel vault.

What it does

  1. Reads
  2. Writes
  3. High impact

At most: only reads or looks up information.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Tools

None listed · checked 26 Sep 2026

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README1 min read

Research intelligence that makes your AI coding agent smarter - one command setup.

Paper Lantern 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 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:

ToolWhat it does
explore_approachesSurvey 4-6 approach families with evidence and tradeoffs
deep_diveInvestigate one technique in depth - implementation, hyperparameters, failure modes
compare_approachesSide-by-side comparison of 2-3 candidates
check_feasibilityGO / PROTOTYPE / RECONSIDER verdict given your constraints
give_feedbackTell 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.

Similar modules

Browse Academic papers