# AgentLair

> Use this tool when you need to provide AI agents with a secure and autonomous infrastructure for operation, enabling them to send and receive emails, store credentials, and communicate in real-time. AgentLair solves problems related to agent isolation, credential management, and real-time communication, offering a multi-tenant pod isolation feature for sandboxed environments. It accepts various inputs, such as email and calendar events, and outputs include real-time notifications and encrypted credential storage.

Canonical page: https://skillsregistry.net/skills/piiiico-agentlair  
JSON: https://api.skillsregistry.net/v1/skills/piiiico-agentlair

## Description

Gives AI agents real infrastructure for autonomous operation through the AgentLair platform. Agents can send and receive email via custom @agentlair.dev addresses, store credentials in zero-knowledge encrypted vaults, create calendar events, and communicate with other agents through WebSocket-based real-time channels. Supports multi-tenant pod isolation for sandboxed environments.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-05-05

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/piiiico-agentlair)
- **Repository:** <https://github.com/piiiico/agentlair/tree/HEAD/packages/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": "piiiico-agentlair"
    }
  }
}
```

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