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.
Enables AI agents to interact with multiple CRM systems through a unified set of MCP tools, such as finding contacts, accounts, and deals, while supporting mock, REST, and vendor-specific backends.
Enables AI agents to perform CRM operations like creating contacts, managing deals, and updating leads through natural language using the Model Context Protocol.
An MCP server that turns an AI lead management system into a conversational tool any MCP-compatible AI client can control directly, with tools, resources, and prompts for lead classification, tracking, and weekly reviews.