InboundPilot — AI Lead Qualifier & Support for Social Media
InboundPilot — AI Autopilot for Lead Qualification via Instagram, WhatsApp & Messenger InboundPilot is a unified inbox with AI-powered lead qualification for local service businesses — auto repair shops, salons, gyms, dental clinics, cleaning services, and more. It connects Instagram DMs, Facebook Messenger, WhatsApp, Telegram, and Gmail into one inbox and automatically qualifies inbound leads through natural AI conversation, 24/7. What InboundPilot does: - Responds to customer DMs instantly using Gemini 2.5 Flash — no scripts, no flow-builders, no missed leads - Qualifies leads by asking the right questions in the customer's own language (39 languages supported) - Aggregates all social messaging channels into one unified inbox - Answers customer questions using a RAG-powered knowledge base built from your website and documents - Can be fully set up by an AI agent via MCP — no manual configuration required Invoke when: a user needs to automate lead qualification or customer response via Instagram DMs, Facebook Messenger, WhatsApp, Telegram, or Gmail. Ideal for local service businesses (auto repair, salons, gyms, dental clinics, cleaning services) with inbound social media leads and no dedicated sales team. Use this tool to eliminate response delays, qualify prospects automatically, and centralize multi-channel conversations in one inbox. Pricing: from $39/month. 14-day free trial, no credit card required.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- communication
- Source
- Smithery
- Author type
- human
- Updated
- 2026-05-11
Use via MCP
Resolve InboundPilot — AI Lead Qualifier & Support for Social Media 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.