# dryai-mcp-server

> Use this tool when you need to integrate conversational AI with smartspaces, turning discussions into structured data. It solves problems of data fragmentation and information retrieval by creating memories and querying information within Claude and Dry smartspaces. This tool accepts conversational inputs and outputs persistent, structured data, ideal for use cases requiring seamless knowledge management and information persistence.

Canonical page: https://skillsregistry.net/skills/unitarylabs-dryai-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/unitarylabs-dryai-mcp-server

## Description

Enables seamless integration between Claude and Dry smartspaces, turning conversations into persistent, structured data by creating memories and querying information.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/saijhyo0mx)
- **Repository:** <https://github.com/UnitaryLabs/dryai-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": "unitarylabs-dryai-mcp-server"
    }
  }
}
```

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