Paper Lantern is answering right now. Last checked 10 min ago. Last commit 21 Apr 2026.
Research intelligence for AI coding agents. 2M+ CS papers with evidence and tradeoffs.
We read the source, 18 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
if (platform === "darwin") execSync(`open "${url}"`);
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.
claude mcp add code --transport http https://mcp.paperlantern.ai/chat/mcp
{
"mcpServers": {
"code": {
"url": "https://mcp.paperlantern.ai/chat/mcp"
}
}
}
[mcp_servers.code]
url = "https://mcp.paperlantern.ai/chat/mcp"
{
"mcpServers": {
"code": {
"url": "https://mcp.paperlantern.ai/chat/mcp"
}
}
}
{
"mcpServers": {
"code": {
"url": "https://mcp.paperlantern.ai/chat/mcp"
}
}
}
This endpoint answered with an authorization challenge. The server is running, but it did not say what kind of credentials it expects.
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://mcp.paperlantern.ai/chat/mcp | streamable-http | needs auth | 542 ms | 10 min ago |
Code Intelligence Platform for AI Coding Agents
Code intelligence for coding agents: semantic, AST, graph, and full-text search. 279+ languages.
Browser-backed QA with evidence and fix-ready reports for coding agents.
Repository intelligence, code graph, history, papertrail, and cross-agent memory for coding agents.
Graph-powered code intelligence with semantic search and knowledge graph for AI assistants
Persistent, evidence-backed code graph for coding agents.
Local proof facts for AI coding clients: intent, tests, Graph Ops, and review evidence.
Efficient context management: code search, evidence packs, and memory for coding agents.
Answers built from our own checks of this server.