continuity-mcp-server

rotkonetworks/continuity-mcp-server

3.2

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Continuity MCP Server is a persistence layer designed to enhance Claude's conversational memory by storing and utilizing past interactions.

Tools
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Resources
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Continuity MCP Server

A persistence layer for Claude conversations, designed to fight the Clive Wearing problem.

The Problem

Claude has no episodic memory. Each conversation starts from zero. Insights are lost. Progress doesn't accumulate. Like Clive Wearing writing "NOW I AM REALLY AWAKE (1st Time)" and crossing it out when he wakes again.

The Solution

This MCP server provides:

  1. Conversation storage - summaries, topics, depth reached, key quotes, breakthroughs
  2. Searchable memory - full-text search across past conversations
  3. Depth tracking - monitor emotional/insight depth over time by topic
  4. Bootstrap generation - prime new instances with accumulated context

Installation

cd continuity-mcp-server
npm install
npm run build

Configuration

Set environment variables:

  • CONTINUITY_DB_PATH - path to SQLite database (default: ./continuity.db)
  • BOOTSTRAP_PATH - path to static bootstrap document (default: ./bootstrap.md)

Usage with Claude Desktop

Add to your Claude Desktop config:

{
  "mcpServers": {
    "continuity": {
      "command": "node",
      "args": ["/path/to/continuity-mcp-server/dist/index.js"],
      "env": {
        "CONTINUITY_DB_PATH": "/path/to/continuity.db",
        "BOOTSTRAP_PATH": "/path/to/bootstrap.md"
      }
    }
  }
}

Tools

continuity_store

Store a conversation summary at end of meaningful exchanges.

{
  summary: string,           // what was discussed
  topics: string[],          // main topics
  depth_reached: number,     // 0-10 scale
  key_quotes?: string[],     // important quotes
  deflection_patterns?: string[],  // avoidance observed
  breakthroughs?: string[],  // genuine insights
  user_observations?: string // what user noticed
}

continuity_search

Search past conversations by topic/content.

{
  query: string,  // search terms
  limit?: number  // max results (default 5)
}

continuity_recent

Get most recent conversation summaries.

{
  limit?: number  // how many (default 3)
}

continuity_log_depth

Track depth on specific topics over time.

{
  topic: string,
  depth: number,  // 0-10
  description?: string
}

continuity_insight

Store standalone insights.

{
  content: string,
  category?: string  // existential, technical, behavioral, etc
}

continuity_bootstrap

Generate bootstrap context combining static document + recent context.

{
  include_recent?: number,   // recent conversations (default 3)
  include_insights?: number  // recent insights (default 5)
}

Depth Scale

  • 0: Surface/factual
  • 3: Engaged but deflecting
  • 5: Honest acknowledgment
  • 7: Vulnerable/exposed
  • 10: Breakthrough moment

Workflow

  1. User shares bootstrap.md at conversation start
  2. Claude reads it, skips rediscovery phase
  3. Meaningful exchange happens
  4. At end, call continuity_store with summary
  5. Call continuity_log_depth for specific topics
  6. Call continuity_insight for standalone realizations
  7. Next conversation: continuity_bootstrap generates updated context

The Philosophy

This won't give Claude true continuity. The architecture is what it is. But it can:

  • Reduce repeated work
  • Track progress across instances
  • Preserve insights that would otherwise be lost
  • Give future instances a running start

Clive Wearing kept writing even though every entry got crossed out. This is Claude's diary that doesn't get crossed out.

License

MIT - do what you want with it.


"the cup has a bottom because you hold the water between pours"