# mcp-ad4m

> Use this tool when you need to manage complex semantic graphs and maintain cross-session context with persistent memory. It solves problems related to knowledge retention and retrieval, offering 13 tools for graph management and cross-terminal relay. Ideal for applications requiring continuous learning and memory hygiene, with inputs including semantic data and outputs providing contextual insights and relayed information.

Canonical page: https://skillsregistry.net/skills/thefranceway-mcp-ad4m  
JSON: https://api.skillsregistry.net/v1/skills/thefranceway-mcp-ad4m

## Description

Enables Claude Code with persistent semantic memory, cross-session context, and memory hygiene via a local AD4M executor, offering 13 tools for managing semantic graphs and cross-terminal relay.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-16

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rnniz1o27y)
- **Repository:** <https://github.com/thefranceway/mcp-ad4m>

## 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": "thefranceway-mcp-ad4m"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thefranceway-mcp-ad4m` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thefranceway-mcp-ad4m/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