Integrates CRM data with AI agents to manage leads, track pipeline statistics, and search price catalogs via Supabase. It enables automated lead creation, stage updates, and history tracking through natural language commands.
Enables AI agents to manage CRM data including companies, contacts, prospects, pipelines, forecasts, and tasks via typed MCP tools, with local SQLite storage and a JSON CLI.
Exposes a fictional B2B CRM database (companies, contacts, deals) as callable MCP tools, enabling AI agents to answer natural-language questions about company records, contacts, and pipeline data.
Enables AI agents to interact with a CRM covering companies, people, leads, deals, and more, with role checks, scoped agent keys, approval gates, and a shared audit trail.
A production-ready MCP server for Customer Relationship Management (CRM) that uses TypeScript and SQLite to manage contacts, interaction history, and action items. It features a suite of 18 tools for full CRUD operations, data searching, and CSV exports with robust database management capabilities.
