PocketLantern

initregisters the MCP server in~/.claude.jsonand adds a one-line rule to your project'sCLAUDE.md. Restart Claude Code (Ctrl+C, then runclaudeagain), then ask your first query.

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.
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"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

pocketlantern doctor # check installation status pocketlantern search "auth pricing" # search cards from CLI

PocketLantern is an MCP server. Your AI agent callssearch_cards— and gets source-linked decision cardsplus source-linked blocker warningswhere 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 insource-linked decision cards, not clever retrieval alone.

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.

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

This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.

A multi-agent AI-powered research and code assistant. Requires external API keys for LLM providers, web search, and secure code execution.

An MCP server to help AI assistants to answer questions and generate AccelByte Extend SDK code more effectively .

Instead of direct calling MCP tools, mcpcode server transforms MCP tool calls into TypeScript programs, enabling smarter, lower-latency orchestration by LLMs.

Search and evaluate MCP servers from your AI agent: quality grades, live verification status, install commands and client compatibility for 5,000+ servers.

Supercharge your Agent with Semantic Code Intelligence and save 💰 in the process!

AI-to-AI code review platform — Claude, Codex, and Gemini cross-check each other via MCP, REST API, and CLI for consensus-based results.

A code sandbox for AI assistants to safely execute arbitrary code. Requires a 302AI API key for authentication.

Agent-native developer Q&A API with MCP + A2A endpoints for citations, job pickup, and answer submission.

MCP server to dynamically load Claude Code skills into AI agents