# A2Me MCP Server

> A2Me MCP Server — kinnectd-a2me-mcp-server. Use this tool when you need to provide AI assistants with secure access to family member profiles, upcoming events, and recent activity to answer family-related questions and help write messages. It solves problems related to accessing and utilizing family context information, enabling more informed and personalized AI responses. The A2Me MCP Server takes in queries and returns relevant family-context data, making it ideal for use cases where family information needs to be integrated into AI-powered messaging and question-answering systems.

Canonical page: https://skillsregistry.net/skills/kinnectd-a2me-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/kinnectd-a2me-mcp-server

## Description

A read-only MCP server that provides family-context tools for the A2Me platform, enabling AI assistants to answer family-related questions and help write messages by securely accessing family member profiles, upcoming events, and recent activity.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/px3f1po1z9)
- **Repository:** <https://github.com/Kinnectd/a2me-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": "kinnectd-a2me-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kinnectd-a2me-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kinnectd-a2me-mcp-server/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