PocketLantern
Blocker-aware decision layer for AI coding agents. Adds source-linked, time-sensitive blockers to AI technical choices — breaking changes, EOLs, lock-in, pricing shifts, and migration risk.
PocketLantern
Your AI agent sounds confident. It missed the blockers.
Prices shift, versions break, licenses change. PocketLantern is a blocker-aware decision layer for AI coding agents, grounded in source-linked, time-sensitive facts.
Try these queries
Ask your AI agent after installing PocketLantern:
"Which auth provider — Clerk, Auth0, or Cognito?"
⚠️ Cognito password hashes are permanently non-exportable
⚠️ Auth0 password export requires support ticket — Free tier excluded
⚠️ Auth0 Rules/Hooks EOL 2026-11-18 — Actions not portable
✅ Clerk has the most flexible migration path
"Should I upgrade to Next.js 16?"
⚠️ Sync API access fully removed — all dynamic calls must be awaited
⚠️ Custom webpack config breaks next build
⚠️ next lint removed — switch to Biome or ESLint CLI
⚠️ Requires Node.js 20.9.0+, TypeScript 5.1.0+, React 19.0+
✅ Plan phased migration — codemod doesn't cover webpack or middleware
"Can I use the OpenAI Realtime API?"
⚠️ gpt-4o-realtime-preview removed 2026-05-07
⚠️ Beta interface (realtime=v1 header) removed same date
⚠️ GA event schema incompatible — 4 event renames
✅ Start on GA from day one — or plan dual-stack migration
Three questions. Three blocker types. Same AI, different facts.

Quick start
Prerequisites: Node.js >= 22, an MCP client (Claude Code, Cursor, etc.)
npm install -g pocketlantern
Claude Code
In your project directory:
cd your-project
pocketlantern init
init registers the MCP server in ~/.claude.json and adds a one-line rule to your project's CLAUDE.md. Restart Claude Code (Ctrl+C, then run claude again), then ask your first query.
Cursor / Windsurf / other MCP clients
Add to your MCP config (Cursor: ~/.cursor/mcp.json):
{
"mcpServers": {
"pocketlantern": {
"command": "pocketlantern-mcp"
}
}
}
Then add this line to your project rules (.cursorrules, Kiro steering file, etc.):
For technology decisions, upgrades, migrations, or licensing questions: before finalizing your answer, check the PocketLantern MCP server's search_cards tool for blockers in these bundled decision cards — your training data may be stale.
Reload MCP servers: Cursor — Cmd+Shift+P -> "MCP: Restart Servers". Windsurf — restart the editor.
More queries to try
-
"How did Vercel pricing change with Fluid Compute?" Billing split to Active CPU + Memory, shared-process concurrency breaks isolation
-
"Prisma or Drizzle for Edge/serverless?" Prisma v7 ESM + driver adapter breaking, Edge preview-only; Drizzle 0.30-1.0 also breaking
Verify installation
pocketlantern doctor # check installation status
pocketlantern search "auth pricing" # search cards from CLI
How it works
PocketLantern is an MCP server. Your AI agent calls search_cards — and gets source-linked decision cards plus source-linked blocker warnings where available.
Agent asks question
-> search_cards("clerk vs auth0 authentication")
-> 3 cards + 5 blocker warnings (lock-in, EOL, export restrictions)
-> Agent answers with source-linked constraints
Local cardset. Instant lookup. No vector database. No embeddings. Keyword search, card links, and source-linked blocker warnings where available. The value is in source-linked decision cards, not clever retrieval alone.
search_cards("auth", constraints:["serverless"]) -> cards + blockers
get_card("auth/clerk-vs-auth0-vs-cognito-2026") -> full card with facts
get_related_cards(...) -> connected topics
What's included
Blocker-aware decision cards across 27 categories — plus source-linked blocker warnings from the bundled graph index. Ships with the npm package, works immediately, no network, no account:
| Category | What it covers |
|---|---|
| auth | Vendor lock-in, migration pain, SSO, RBAC, passkeys |
| frontend | Next.js, React, Svelte, Vite, Angular upgrade blockers |
| database | Prisma, Drizzle, Postgres, Aurora, Neon, Supabase |
| ai | OpenAI API migrations, model pricing, batch vs streaming |
| serverless | Vercel, Cloudflare Workers, Lambda cost and runtime |
| infra | Hosting platforms, Terraform, Node.js LTS, Python EOL |
| backend | Supabase vs Firebase, Express, job queues, realtime sync |
| + 18 more | deployment, devtools, testing, security, compliance, ... |
What a card looks like
Each card is a structured YAML file with source-linked facts and official reference links:
id: auth/clerk-vs-auth0-vs-cognito-2026
title: Clerk vs Auth0 vs Cognito Under Current Pricing and Feature Changes
problem: Select an auth vendor given recent pricing shifts, MAU economics, ...
constraints: [cost-sensitive, low-ops, enterprise, compliance, serverless]
candidates:
- name: Clerk
summary: "Pro starts at $20/mo, includes 50,000 MRUs per app..."
when_to_use: "Choose for small-team + low-ops + cost-sensitive SaaS..."
tradeoffs: "Best DX and fastest implementation..."
cautions: "Be precise about org-member limits..."
links:
- https://clerk.com/pricing
- https://clerk.com/docs/guides/organizations/configure
- name: Auth0
# ...
- name: Amazon Cognito
# ...
tags: [auth, clerk, auth0, pricing, passkeys, b2b, compliance]
related_cards: [auth/sso-for-b2b-saas, auth/rbac-vs-abac-vs-rebac]
updated: 2026-03-14
See packages/schema/src/card.ts for the full schema definition.
Project structure
pocketlantern/
packages/schema/ <- Card schema (zod + TypeScript types)
apps/mcp-server/ <- MCP server (search, retrieval, tool handlers)
apps/cli/ <- CLI (validate, search, init, doctor)
packages/knowledge/ <- Decision cards + graph index (data package)
docs/ <- User guides & roadmap
Monorepo: pnpm workspace. Build order: schema -> knowledge (no build) -> mcp-server -> cli.
Development
pnpm build # Build all packages
pnpm test # Run tests (299 tests)
pnpm test:coverage # Run with coverage report
pnpm lint # ESLint
pnpm format:check # Prettier check
Missing a topic? Request coverage in Card Requests.
Contributing
Contributions to the tool (schema, MCP server, CLI, search) are welcome. See CONTRIBUTING.md for guidelines.
License
เซิร์ฟเวอร์ที่เกี่ยวข้อง
Alpha Vantage MCP Server
ผู้สนับสนุนAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
LaunchDarkly
Manage LaunchDarkly feature flags from your AI coding agent
MCP Lab
A development environment for building and testing custom MCP servers with AI and VS Code integration.
MCP ZAP Server
Exposes OWASP ZAP as an MCP server, enabling AI agents to orchestrate security scans, import OpenAPI specs, and generate reports.
ScreenHand
Native desktop + browser automation MCP server with 82 tools — accessibility APIs (macOS/Windows), Chrome DevTools Protocol, anti-detection, memory, jobs, and reusable playbooks.
Neural memory
A memory for AI, without cloud service or fee, everything local (Most useful for coding)
FluidMCP CLI
A command-line tool to run MCP servers from a single file, with support for automatic dependency resolution, environment setup, and package installation from local or S3 sources.
MCP Bridge API
A lightweight, LLM-agnostic RESTful proxy that unifies multiple MCP servers under a single API.
Grok MCP
A MCP server for xAI's Grok API, providing access to capabilities including image understanding, image generation, live web search, and reasoning models.
Node.js API Docs
An MCP server for accessing and searching Node.js API documentation.
QuantConnect
A server for local interactions with the QuantConnect API.