mcpservers

Recipe

Give Claude memory and real documentation

Persistent memory across chats, live library docs, and structured reasoning — so answers stop drifting.

15 minutes beginner 3 connectors for Founders and analysts who want answers without writing SQL

What you'll need

Memory A knowledge graph Claude can write to and recall across separate conversations.
Optional
Context7 Injects current, version-specific library docs into context.
Optional
Sequential Thinking Structured step-by-step reasoning for harder, multi-stage problems.
Optional

Do this, in order

  1. 1

    Add memory

    Install the memory MCP. Remember that this project uses pnpm, Astro, and deploys on Vercel.

    You'll get: Claude stores the facts and confirms it will recall them next session.

  2. 2

    Add live docs

    Install Context7. Using the real current docs, write a Next.js server action that revalidates a cache tag.

    You'll get: Code that matches the actual current API, not a hallucinated one.

  3. 3

    Recall later

    (New chat) What do you remember about how this project is built and deployed?

    You'll get: Claude recalls the stored stack facts without you repeating them.

You're done when

Claude keeps context between sessions and writes code against real, current docs — the two biggest causes of 'confidently wrong' answers, fixed.

Why this workflow exists

Two failure modes make AI feel unreliable: it forgets what you told it last time, and it writes code against an API version that no longer exists. A memory server fixes the first by persisting facts to a knowledge graph; a docs server like Context7 fixes the second by pulling the real, current documentation into context before Claude answers.

People ask their AI

“give Claude long-term memory”“stop hallucinated APIs / outdated docs”“what MCP for memory or documentation”