# Structured-sh

> Use this tool when you need to manage persistent memory for AI agents, enabling seamless state management across sessions, tools, and restarts. It solves problems of data loss and inconsistency by providing high-performance read and write capabilities, handling over 1000 requests per second. With a managed service interface, it eliminates the need for self-hosting or infrastructure operation, making it ideal for applications requiring fast and reliable state persistence.

Canonical page: https://skillsregistry.net/skills/structured-sh-structured  
JSON: https://api.skillsregistry.net/v1/skills/structured-sh-structured

## Description

MCP server providing managed persistent memory for AI agents. Read and write structured state across sessions, tools, and restarts at 1000+ requests per second, with no infrastructure to self-host or operate.

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n7bbpv9qae)
- **Repository:** <https://github.com/structured-sh/structured>

## 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": "structured-sh-structured"
    }
  }
}
```

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