Web retrieval

Paper Lantern

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

Source ReviewedMCP Rank ReviewedMedium confidencelow riskclaudecursorcodex

Unranked score draft

Install + docs80

Maintenance76

Auth handling69

Client compatibility78

Real usefulness81

Safety signals74

Evidence history

Review snapshots show why the current score, confidence, and risk labels changed over time.

This review depth is not eligible for MCP Rank leaderboards until a Deep Review is complete.

seed review

Date	Change	Score	Confidence	Risk
May 19, 2026	Initial MCP Rank review captured from the curated seed dataset. MCP Rank completed a source review on 2026-05-19 using official registry metadata, reachable source links, and repository/API metadata where available. seed snapshot · reviewed	77	medium	low

Date

Change

Score

Confidence

Risk

May 19, 2026

Initial MCP Rank review captured from the curated seed dataset.

MCP Rank completed a source review on 2026-05-19 using official registry metadata, reachable source links, and repository/API metadata where available.

seed snapshot · reviewed

medium

low

Evidence notes

MCP Rank completed a source review on 2026-05-19 using official registry metadata, reachable source links, and repository/API metadata where available.

GitHub repository paperlantern-ai/paperlantern-cli was reachable, MIT licensed, and active on 2026-04-21.

The capability surface is research-paper discovery and setup guidance, which is lower operational risk than workspace mutation tools.

Repository provenance is directly linkable for follow-up maintainer and activity checks.

A concrete provider endpoint or docs URL is available for rollout validation.

Best-fit use cases

Teams considering Paper Lantern can now see a source-reviewed, evidence-linked listing instead of an indexed-only row.

Useful as a candidate for deeper review, maintainer claim, or comparison content.

Risk analysis

Current risk level is low based on category, source metadata, and exposed capability surface.

Repository metadata check found 0 open issues at review time.

Confidence remains bounded by available public source links until install testing and maintainer verification are complete.

Use-case examples

Evaluate Paper Lantern source links before install.

Compare Paper Lantern risk and confidence against reviewed alternatives.

Use Paper Lantern only after validating its install path and permissions.

Review status

Source Reviewed with medium confidence.

Leaderboards include only Deep Review entries or listings with explicit maintainer confirmation evidence. Source Reviewed and Install Tested pages remain visible for evaluation but are not ranked recommendations.

Install test

Command

Review provider documentation before install

Risk review

This is a source review, not a deep review or full install-and-auth audit.

Scientific retrieval should cite sources clearly and avoid treating summaries as primary evidence.

Zero-star public repository signal means confidence should stay medium until usage and maintainer evidence improve.

Verify install behavior and requested permissions in a sandbox before team rollout.

Maintainer verification is still recommended before treating this as a default-safe tool.

Sources

GitHub repohttps://github.com/paperlantern-ai/paperlantern-cli Provider MCP endpoint or docshttps://mcp.paperlantern.ai/chat/mcp Official MCP registryhttps://registry.modelcontextprotocol.io/

Source trail: Official MCP registry, public repository, package, or provider endpoint review

Badges

Maintainers can share reviewed listing status for Paper Lantern.

Weekly MCP trust report

Reviewed servers, risk notes, new indexed tools, and maintainer verification asks.