Skip to content
cccskills
FreePublished on GitHub

local-mcp-whatsapp

Read, search, and send WhatsApp messages, files, and polls, and manage groups from a linked macOS or Windows computer. Messages are stored locally for chat-wide search, and outgoing messages are previewed for confirmation before they are sent.

OriginalShow the original description

Use when the user wants to read, search or send WhatsApp messages, files or polls, or manage WhatsApp groups, on macOS or Windows. Powered by LMCP, which links WhatsApp to the computer with a QR code.

hashgraph-online/awesome-codex-plugins1,436 stars(GitHub 1,436 + cccskills 0)

Run score Not tested

See how to install

Good for

  • Searching past WhatsApp conversations
  • Sending a message or file after preview
  • Reading or sending group polls
  • Checking group details or creating a group

Files included (1)

  • SKILL.md1.4 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

WhatsApp via LMCP

LMCP links WhatsApp to the user's computer as a linked device (macOS and Windows). Messages are kept in a local store on the computer, so search works across all chats.

Core tools

  • Setup: whatsapp_connect shows the QR code in the chat; whatsapp_diagnose checks the link; whatsapp_list_accounts when there is more than one number.
  • Read: whatsapp_list_chats, whatsapp_read_messages, whatsapp_search_messages, whatsapp_search_contacts, whatsapp_read_poll.
  • Groups: whatsapp_list_groups, whatsapp_group_info, whatsapp_create_group.
  • Send: whatsapp_send_message, whatsapp_send_file, whatsapp_send_poll.
  • whatsapp_sync pulls the latest messages, groups and contacts into the local store.

Good practice

  • Resolve the person with whatsapp_search_contacts before reading or sending.
  • Summarize conversations rather than pasting every message.
  • Every send is preview-first: show the chat and the text, confirm, then send.
  • If a tool says WhatsApp isn't linked, offer whatsapp_connect instead of retrying.

Guides: https://www.local-mcp.com/guides/claude-whatsapp-mac · https://www.local-mcp.com/guides/claude-whatsapp-windows

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Plan worthwhile local tasks by checking dependencies, effects, resources, and platform boundaries, then execute the exact approved plan. It can use safe parallel work or suitable Apple-silicon backends when the project exposes them.

  • Speed up independent local build or test steps
  • Plan a task with several dependency-linked operations
  • Choose an Apple-silicon backend for supported numerical or media work
hashgraph-online/awesome-codex-plugins1.4KUpdated Oct 27, 2026

add

FreeSummary

Record deferred engineering decisions and temporary workarounds in a debt registry, with context such as effort, ongoing cost, affected area, and payoff trigger. Entries receive short labels so they can be reviewed or dropped later.

  • Logging a TODO or unfinished implementation
  • Recording a temporary default or bypassed check
  • Tracking a swallowed error or loosened type
hashgraph-online/awesome-codex-plugins1.4KUpdated Oct 29, 2026

Generate or compare AI agent code for LangChain, EINO, AutoGen, AgentScope, and CrewAI using framework-specific templates, API mappings, conventions, and project structures. Reference files include verification dates to help identify potentially outdated guidance.

  • Creating an agent project for a chosen framework
  • Comparing APIs across supported agent frameworks
  • Referencing framework-specific tool and memory patterns
hashgraph-online/awesome-codex-plugins1.4KUpdated Oct 26, 2026

Investigate a reproducible bug, test failure, or unexpected page behavior, then make a narrowly scoped fix. The workflow calls for a regression test before changing code, verifies the fix, and reports remaining risks and evidence while avoiding unrelated refactoring or feature work.

  • Finding the cause of a failing test
  • Fixing an unexpected page or feature behavior
  • Adding a regression test before a minimal code change
hashgraph-online/awesome-codex-plugins1.4KUpdated Oct 29, 2026

Build an AI agent project through six collaborative stages, from requirements and architecture to tools, prompts, code generation, and verification. Start framework-independent, then generate a runnable project for frameworks such as LangChain, EINO, AutoGen, AgentScope, or CrewAI.

  • Designing an AI agent from a business need
  • Generating a runnable agent project
  • Planning tools, prompts, and orchestration
hashgraph-online/awesome-codex-plugins1.4KUpdated Oct 26, 2026

Audit a project or learning workflow for scope drift, conflicting plans, inconsistent names, and code quality concerns. The skill reads project files and code, then reports evidence, severity, and suggested next steps without changing files.

  • Checking whether project work has drifted from its agreed scope
  • Finding conflicting plans or inconsistent naming
  • Reviewing code against project decisions without editing it
hashgraph-online/awesome-codex-plugins1.4KUpdated Oct 29, 2026

See all skills by hashgraph-online

Report a problem with this skill