Sunday, July 27, 2025

Constructing an AI-First Interface for Exactly APIs with Mannequin Context Protocol

Over the previous few weeks, I’ve been exploring methods to streamline entry to Exactly’s APIs utilizing AI-first tooling. One promising strategy has been to leverage the Mannequin Context Protocol (MCP)—an open commonplace developed by Anthropic—to attach APIs with fashionable massive language mannequin (LLM) interfaces, reminiscent of Claude Desktop.

In the present day, I’d wish to share a light-weight setup that allows builders—and even non-developers—to work together with our APIs utilizing pure language prompts. This strategy eliminates the necessity for writing boilerplate code, permitting for intuitive exploration of our providers immediately by conversational interfaces.

Constructing an AI-First Interface for Exactly APIs with Mannequin Context Protocol

Why MCP?

MCP provides a standardized technique for AI purposes to attach with APIs, information, and instruments. It gives a structured strategy to describe capabilities and parameters, enabling LLMs to dynamically resolve which capabilities to invoke in response to person prompts.

This aligns with our broader aim at Exactly: making it simpler to combine high-integrity information with purposes and workflows. With MCP, we scale back the friction concerned in connecting to our APIs, opening new prospects for fast prototyping and experimentation.

Trusted APIs Powered by AI

To display this, I constructed an MCP server that wraps all of the obtainable endpoints from Exactly APIs. The result’s a code-light setting the place Claude Desktop can execute API calls mechanically primarily based on a person’s request—no handbook coding required.

The method of wrapping the APIs wasn’t troublesome, however it was detailed. Every endpoint was transformed right into a callable perform MCP might expose. As soon as linked, Claude Desktop can perceive these capabilities and start utilizing them primarily based on person directions.

Fast Setup Information

You’ll be able to rapidly stand up and operating with the MCP server. This repository consists of every little thing you want: an inventory of supported API capabilities, detailed set up directions, authentication setup, and pattern requests that can assist you get began.

Key Advantages of an MCP Server

Our MCP server is designed to take away the standard friction concerned in API integration, providing a easy, scalable bridge between high-quality spatial information and AI interfaces. It helps pure language prompts and allows instantaneous entry to location intelligence instruments and wealthy datasets—with out requiring any code. This lowers the barrier to entry for experimentation and dramatically reduces time-to-value.

Its AI-first design shifts focus away from backend system complexity, permitting groups to focus on fixing real-world challenges. And since it opens API entry to product managers, analysts, and different non-engineering customers, it helps scale the impression of knowledge packages throughout the group—with out including to developer workload. This makes it simpler than ever to show concepts into working options in minutes, not days.

These are just some examples of the sorts of pure language prompts the MCP server can deal with:

  • “Parse this handle: John Doe 123 Major St Boston”
  • “Eating places close to 123 Central Ave”
  • “Wildfire danger for 123 Forest Ln”

Whether or not you’re enriching information, exploring location context, or assessing danger, the MCP server makes it simple to get solutions immediately—with out writing a single line of code.

Developer portal

Information Integrity Suite Developer Portal

Speed up your developer journey – Our greatest-of-breed APIs empower builders to ship distinctive experiences and groundbreaking purposes on time, each time! With complete documentation and professional help at your fingertips, you’ll have all of the instruments to deliver your imaginative and prescient to life.

Finest Practices

The MCP server consists of many callable capabilities by default. To enhance efficiency and guarantee mannequin readability, it’s finest to restrict the checklist of accessible capabilities to solely these wanted on your particular job. This retains the context lean, and the responses targeted.

I hope you get pleasure from attempting out this setup and seeing how simple it may be to work together with our APIs utilizing pure language!

When you haven’t already, I additionally encourage you to take a look at our Developer Portal and discover the complete vary of Exactly APIs obtainable. There’s much more you are able to do—and now it’s even simpler to get began.

Completely satisfied constructing!

The publish Constructing an AI-First Interface for Exactly APIs with Mannequin Context Protocol appeared first on Exactly.

Related Articles

LEAVE A REPLY

Please enter your comment!
Please enter your name here

Latest Articles