Context7 vs Kun
Context7: Context7 is an MCP server that injects up-to-date, version-specific library documentation directly into LLM prompts. Add "use context7" to any coding prompt and it fetches current docs for the library you're working with, eliminating hallucinated APIs and outdated code examples. Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible editor.; Kun: Kun is a local-first desktop AI workspace where code, documents and agent chats share one local runtime, with sessions, memory and settings kept on your machine. It has Code and Work modes, a design canvas, chats and group rooms with Codex, Claude Code and OpenCode, and a terminal TUI on the same kun serve runtime.
TL;DR
- You use Cursor, Claude Code or another coding agent with fast-moving public libraries and want current, version-specific docs and examples.
- You want the least setup: `npx ctx7 setup` signs you in and configures the skill or MCP server for your agents.
- You want to work with or without MCP: the CLI plus skill mode fetches docs without an MCP server.
- You need docs for internal or private libraries: a self-hosted index fits better.
- Your data policy rules out sending queries to an external service: requests go to Upstash's hosted backend.
- You need a fully open-source stack: only the MCP server is open source; the API backend, parser and crawler are private.
Hand a project folder to a local coding agent with approvals
Side-by-Side Comparison
Features
Context7KunUse Cases
Context7KunBest For
Context7KunFAQ
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