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Personal Assistant

This MCP server implementation provides a versatile personal assistant framework with modules for calendar management, task tracking, email handling, knowledge retrieval, and smart home control. Built with Python using the FastMCP library, it offers a modular architecture for easy extensibility. The server includes features like Google API integration, Home Assistant connectivity, and DuckDuckGo web search capabilities. It's designed for developers creating AI-powered personal assistant applications that require access to various external services and data sources.

Cognium trust score

52%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: communication
Source: PulseMCP
Repository: github.com/zhangzhongnan928/mcp-pa-ai-agent
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve Personal Assistant from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"