WhatsApp Web
WhatsApp Web MCP provides a bridge between WhatsApp Web and AI models, enabling automated interactions with WhatsApp through a standardized interface. Developed by Philippe Nizer, it offers both direct WhatsApp client integration and API-based connectivity, with flexible deployment options through SSE or Command modes. The implementation includes core features like sending/receiving messages, managing contacts, creating groups, and searching conversations, making it particularly valuable for AI assistants that need to interact with WhatsApp without requiring users to implement complex API interactions themselves.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/pnizer/wweb-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve WhatsApp Web 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 --scope user for --scope project to commit it to .mcp.json.