Gmail-to-CRM Pipeline

Turn a Gmail inbox into a structured sales pipeline using Claude's MCP Connectors -- the Gmail connector reads and drafts email, and the Supabase connector persists CRM data. No external scripts or API keys required.

Workflow

1. Connect. Verify the Gmail and Supabase MCP Connectors are available. On first run, create the CRM tables and seed config. Load ICP config from the pipeline_config table. See references/configuration.md (first run, error handling) and references/crm-schema.md.
2. Search. Run the targeted Gmail search queries to find unread lead emails over the time window (default: last 24 hours). Collect unique message IDs and deduplicate. See references/gmail-retrieval.md.
3. Parse. Read each unique message, strip signatures and disclaimers, and extract the structured field set. See references/gmail-retrieval.md.
4. Extract. Build the lead profile (contact, company, inquiry, metadata) for each email. Set missing fields to null rather than guessing. See references/lead-extraction.md.
5. Score. Score each lead on ICP fit (0-40), intent (0-35), and urgency (0-25), then apply adjustment modifiers. Map the total to a qualification tier and priority. See references/scoring-model.md.
6. Draft. For each qualified lead (score >= 25), draft a personalized, tier-appropriate response and save it as a Gmail draft. Never auto-send. See references/response-templates.md.
7. Log. Check for duplicates, then insert or update the lead in Supabase, log activity, and set the next action by priority. See references/crm-schema.md.
8. Report. Query the pipeline snapshot and generate lead-pipeline-report.md in the working directory, then display the executive summary. See references/pipeline-report.md.

Between runs, handle manual lead commands (mark contacted, move stage, disqualify, add note, schedule follow-up, query leads) and ICP/search customization. See references/configuration.md.

Hard Rules