Which AI agents are supported by Paper Lantern?
Claude Code, Cursor, Windsurf, GitHub Copilot (VS Code), Codex, Gemini CLI, and Cline are supported. For agents not listed, see the manual setup guide at paperlantern.ai/docs.

@paperlantern-ai
Basic information
Category
Developer Tools
License
MIT
Transports
stdio
Author
paperlantern-ai
Submitted by
Paper Lantern Founders
Paper Lantern setup CLI - one-line install to configure Claude Code, Cursor, Windsurf, Copilot, Codex, and Gemini CLI with Paper Lantern
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"paper-lantern": {
"type": "http",
"url": "https://mcp.paperlantern.ai/chat/mcp?key=YOUR_KEY"
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list directly from this server's endpoint using the button above.
Paper Lantern is a research intelligence tool for AI coding agents, providing access to over 2 million computer science research papers. It integrates via the Model Context Protocol (MCP) with a single command setup, helping agents make informed technical decisions.
Run npx paperlantern@latest in your terminal, then select your preferred AI agents and log in through OAuth. The setup CLI automatically configures the MCP server and installs agent rules.
npx paperlantern@latestClaude Code, Cursor, Windsurf, GitHub Copilot (VS Code), Codex, Gemini CLI, and Cline are supported. For agents not listed, see the manual setup guide at paperlantern.ai/docs.
Manual setup instructions and per‑agent configuration snippets are available at [paperlantern.ai/docs](https://paperlantern.ai/docs). The site also provides the raw MCP endpoint.
Paper Lantern activates only when your agent is making technical decisions (e.g., choosing algorithms, architectures, or techniques). It does not activate for syntax questions, library lookups, debugging, or general programming tasks.
The agent receives five tools: `explore_approaches`, `deep_dive`, `compare_approaches`, `check_feasibility`, and `give_feedback`. Each serves a specific research purpose, from surveying approaches to providing feedback.
The setup command uses `npx`, which requires Node.js and npm. No other dependencies are mentioned in the README.

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