I gave Claude Code a memory — MCP connects AI tools to your knowledge base

Hey! New article on how Nokos uses MCP (Model Context Protocol) to give AI tools persistent memory.

The problem: Claude Code, ChatGPT, Cursor — they all start fresh every session. No memory of what you built last week.

Nokos fixes this with 3 MCP tools:
- search_nokos — search your memos + sessions by keyword or meaning
- get_nokos — fetch full content of any item
- save_session — save the current conversation

In practice: you ask Claude Code "How did I implement auth?" and it searches your actual work history — not training data, not hallucinations, but your real sessions and notes.

Two servers: local (stdio, for Claude Code/Codex) and remote (HTTPS + OAuth, for claude.ai). Same 3 tools, same protocol.

The loop: AI generates knowledge → Nokos captures it → AI retrieves it next time. Each cycle makes your AI more useful.

Full article:
https://dev.to/tomokiikeda/i-gave-claude-code-a-memory-heres-how-mcp-connects-ai-tools-to-your-knowledge-base-3l56

Do you use MCP with any of your tools? What's your experience been?