# Harnios MCP

> Harnios MCP — harnios-harnios-mcp. Use this tool when you need to unify and persist data across multiple AI assistants, providing a shared knowledge base and storage system for business information. Harnios MCP solves the problem of fragmented data and repeated setup by allowing AI tools to read and write from a single, self-hosted store. It takes in connections from various AI assistants and outputs a unified, persistent memory of your business data, ideal for use cases where multiple tools require access to the same information.

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

## Description

Harnios is a self-hosted, MCP-based storage system that gives every AI assistant you use — Claude, ChatGPT, Cursor, or anything else — a shared, persistent memory of your business: knowledge base, skills, projects, operational tables, and reports, all in one place. Connect a new tool once, and it reads and writes through the same store instead of starting from zero.

## Trust

- **Trust score (0–1):** 0.37
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zxy25o2vea)
- **Repository:** <https://github.com/harnios/harnios-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": "harnios-harnios-mcp"
    }
  }
}
```

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