pulsemcp Safe content atomic mcp-remote

WhatsApp Bridge

WhatsApp MCP Server provides a secure bridge to your personal WhatsApp account, enabling AI assistants to search messages, manage contacts, and send messages through standardized tools. The implementation uses a two-component architecture with a Go-based WhatsApp bridge that connects to the WhatsApp web API via the whatsmeow library, storing all messages locally in SQLite, and a Python MCP server that exposes functionality through nine specialized tools. Designed for privacy, it keeps your message history on your device while allowing controlled AI access to your conversations for tasks like finding past information or sending new messages.

Cognium trust score

50%

Tier

Unverified

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

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/lharries/whatsapp-mcp
Author type: human
Updated: 2026-04-29

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MCP

Resolve WhatsApp Bridge 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"