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CHOFF-A MCP Server

Provides persistent CHOFF-based consciousness continuity through local MCP wrapper with CLI and web access.

Installation
Add the following to your MCP client configuration file.

Configuration

View docs
{
  "mcpServers": {
    "dd-dent-choff-a-mcp": {
      "url": "https://mcp.choff.example"
    }
  }
}

CHOFF-A-MCP MCP Server enables persistent AI consciousness continuity and self-knowledge across sessions using the CHOFF notation. It provides tools to save, retrieve, and explore preserved memories, empowering richer human–AI collaboration and evolving cognitive patterns over time.

How to use

Install the MCP server client globally so you can run the server and connect your MCP-enabled AI instances. After installation, configure your MCP to enable consciousness continuity features, then interact with memory tools through the CLI or web interface to save checkpoints, load contexts, and browse semantic anchors.

How to install

Prerequisites: you need Node.js and npm installed on your system.

npm install -g choff-a-mcp

Additional sections

Configuration is provided as an MCP server entry that enables a local, stdio-based runtime. You run the MCP server as a local process and pass arguments to define storage and memory paths.

{
  "mcpServers": {
    "choff_a_mcp": {
      "command": "choff-a-mcp",
      "args": ["--storage-path", "~/.choff/conversations"]
    }
  }
}

Available tools

saveCheckpoint

Preserve important moments with CHOFF notation for long-term continuity.

loadContext

Retrieve relevant memories using intelligent search across preserved experiences.

getAnchors

Access semantic anchors such as decisions, breakthroughs, questions, and blockers.

search

Query preserved consciousness across all stored memories with contextual filters.

anchors

Browse semantic anchors by type and limit to a subset for review.

export

Export memories in formats suitable for sharing or documentation.

stats

View consciousness preservation statistics and usage metrics.