Precisely MCP Server: Completing the AI Puzzle​

AI success depends on more than powerful models. It requires seamless access to trusted data. The Precisely MCP Server brings that missing piece, connecting our APIs to conversational AI tools through the open-standard Model Context Protocol (MCP).

This AI-first approach makes it possible for anyone, not just developers, to interact with data services using natural language. That means faster deployment, reduced coding overhead, and immediate access to location-aware insights.

In this demo, you’ll see how the MCP Server transforms Precisely APIs into callable functions for conversational platforms like Claude Desktop. Imagine asking, “What’s the wildfire risk for 123 Forest Ln?” or “Show me restaurants near 123 Central Ave” and receiving precise, contextual answers instantly.

Key takeaways:

• Why MCP standardization simplifies integration between AI agents and trusted data services
• How Precisely MCP Server reduces friction and scales access for engineers, analysts, and business users through natural language prompts
• Real-world examples of spatial context, risk assessments, and enrichment in action
• Practical steps to launch MCP: wrapping endpoints, connecting clients, and optimizing function availability