Enables LLM agents to operate a CRM through 114 typed tools across 24 modules, covering contacts, pipelines, calendars, messaging, invoicing, and payments. Destructive and outward-facing actions are annotated for visibility and approval.
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.
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.
A multi-tenant MCP server that exposes DataCrazy CRM REST API as 63 auto-generated tools, allowing AI assistants to query leads, conversations, pipelines, and more through natural language.
