# CarpeOS MCP Server

> CarpeOS MCP Server — innocarpe-carpeos. Use this tool when you need to capture and manage structured memory from agent sessions, enabling efficient search and analysis of event data with provenance tracking. It solves problems related to data organization, retrieval, and auditing, providing a robust interface for inputting and outputting event data through eight local MCP stdio tools. Ideal for use cases requiring transparent and tamper-evident data management, such as auditing, logging, and compliance tracking.

Canonical page: https://skillsregistry.net/skills/innocarpe-carpeos  
JSON: https://api.skillsregistry.net/v1/skills/innocarpe-carpeos

## Description

Enables AI agents to capture, search, and manage structured memory from agent sessions with append-only events and provenance tracking, providing eight local MCP stdio tools.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/galcuc2omz)
- **Repository:** <https://github.com/innocarpe/CarpeOS>

## 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": "innocarpe-carpeos"
    }
  }
}
```

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

---
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
