hashgraph-online/awesome-codex-plugins/local-mcp-messages

Claude Code and agent skill by hashgraph-online/awesome-codex-plugins

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Use when the user wants to read or search iMessage or Signal (macOS) or Microsoft Teams, Slack and WhatsApp (macOS and Windows) from the apps on their computer. Powered by LMCP.

Install

npx vskill@latest install hashgraph-online/awesome-codex-plugins/local-mcp-messages

SKILL.md

Messages & team chat via LMCP

LMCP reads message stores on the user's computer. iMessage (Messages.app) and Signal are available only on macOS; Microsoft Teams, Slack and WhatsApp work on macOS and Windows.

Core tools

  • iMessage (macOS): list_message_chats, read_messages, search_messages.
  • Teams (macOS and Windows): teams_list_chats / teams_list_channels / teams_read_chat_messages / teams_read_channel_messages.
  • Slack (macOS and Windows): slack_list_workspaces / slack_list_channels / slack_read_channel_messages / slack_search_messages.
  • WhatsApp (macOS and Windows): whatsapp_list_chats / whatsapp_read_messages / whatsapp_search_messages.
  • Signal (macOS): signal_list_chats / signal_read_messages / signal_search_messages.
  • Sending: send_message (iMessage, macOS) and teams_send_message (macOS and Windows; on Windows it goes through Microsoft Graph and needs connect_m365_account) return a preview first and send only with confirm=true — never send silently.

Good practice

  • Reading is fast; summarize conversations rather than dumping every line.
  • For "did X text me about Y", use search_messages.
  • Teams/Slack/WhatsApp/Signal require the respective app or account to be set up on the computer; if a tool says it's not connected/synced, relay that setup step to the user.
  • Any send is preview-first — show the recipient + text, confirm, then send.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
1,266
Repository forks
353
7-day trend score
0

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