# Motecloud

> Use this tool when you need to manage and store complex graph data for production AI systems, solving problems of scalable and secure memory management, and data retrieval. Motecloud provides a managed service with inputs of graph data and outputs of retrieved information, combining traversal, embeddings, and reranking mechanisms. It is ideal for use cases requiring durable, tenant-isolated, and auditable memory storage with automated billing for autonomous agents.

Canonical page: https://skillsregistry.net/skills/motecloud  
JSON: https://api.skillsregistry.net/v1/skills/motecloud

## Description

Motecloud is a managed graph memory service for production AI systems, providing tenant-scoped graph storage with hybrid retrieval combining graph traversal, embeddings, reranking, and activation mechanisms. The hosted MCP server offers durable agent memory with signed audit trails, replayable event history, tenant isolation, and machine-discoverable pricing for autonomous agent billing.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/motecloud)
- **Repository:** <https://github.com/motecloud/motecloud-mcp-server>

## 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": "motecloud"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/motecloud` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/motecloud/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