Ambivo

Ambivo MCP server provides AI assistants with access to Ambivo's CRM API endpoints for natural language querying of entity data including leads, contacts, opportunities, and other business objects. Built by the Ambivo Development Team using Python with comprehensive security features including JWT authentication, rate limiting, input validation, and token caching, the implementation processes natural language queries through Ambivo's /entity/natural_query endpoint and returns structured data in table, natural language, or combined formats. The server includes robust error handling with exponential backoff retry logic, multi-tenant support through JWT-based client isolation, and configurable security controls for query length limits and payload size restrictions, making it valuable for sales teams needing conversational access to CRM data, business analysts requiring natural language database queries, and organizations wanting to integrate Ambivo's CRM capabilities into AI-powered workflows without complex API management.