# memory-arbiter-mcp

> memory-arbiter-mcp — billy12151-memory-arbiter-mcp. Use this tool when you need to manage shared memory across multiple AI coding tools, such as ZCode, Codex, Cursor, and Claude Code, to enable seamless collaboration and conflict-free data exchange. The memory-arbiter-mcp provides a lightweight, local SQLite memory store with built-in conflict arbitration, eliminating the need for external dependencies. It is ideal for use cases requiring structured memory sharing and synchronization across various AI-powered coding tools.

Canonical page: https://skillsregistry.net/skills/billy12151-memory-arbiter-mcp  
JSON: https://api.skillsregistry.net/v1/skills/billy12151-memory-arbiter-mcp

## Description

A lightweight, fully local MCP server that provides AI coding tools with a shared SQLite memory store and built-in conflict arbitration, enabling structured memory sharing across tools like ZCode, Codex, Cursor, and Claude Code without external dependencies.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wxaedz3tdk)
- **Repository:** <https://github.com/billy12151/memory-arbiter-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "billy12151-memory-arbiter-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/billy12151-memory-arbiter-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/billy12151-memory-arbiter-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt