Key Takeaways
- Incomplete information causes AI hallucinations. Most enterprise AI lacks location context, so it fabricates solutions to fill the gaps. A (Mannequin Context Protocol) MCP server provides it verified, real-world information to cause with as a substitute.
- You don’t want code or GIS experience to question spatial information. The Exactly MCP server lets you geocode addresses, assess property danger, pull demographics, and generate website choice reviews via plain pure language prompts.
- The Exactly MCP server is free, constructed on Anthropic’s open-source MCP, and works throughout LLMs. It connects to Claude, ChatGPT, and different main LLMs.
Enterprise AI is just as helpful because the context it has to work with. Give a mannequin incomplete information and it’ll do what LLMs at all times do once they hit a niche: fill it in.
Typically that’s high quality. However while you’re making selections which have a major influence on your small business, like about the place to open a brand new location, easy methods to assess property danger, or which buyer segments to prioritize in a selected market, a hallucinated output turns into a legal responsibility.
That’s the problem I unpacked in a current dwell demo for Information Science Join’s AI Demo Day.
Most organizations have substantial first-party information. What they usually lack is the location-specific context that ties that information to the true world: drive occasions, neighborhood demographics, close by companies, shopper conduct, flood zones, wildfire publicity, parcel particulars. With out that location intelligence layer, AI is basically reasoning blind.
The tougher half? Even organizations that know they want this information wrestle to make use of it. Spatial information doesn’t natively combine with most AI instruments and interfaces, presenting one other impediment to beat earlier than location AI workflows could make use of location. Working with it historically means GIS instruments, spatial queries, customized integrations – it’s a whole lot of time, effort, and friction earlier than you get any worth.
The Exactly MCP Server was constructed to take away that friction totally.
What Is an MCP Server, and Why Does It Matter for Enterprise AI?
If you happen to’re new to Mannequin Context Protocol, the quick model is that this: MCP is an open normal developed by Anthropic that provides AI techniques a standardized approach to entry exterior information sources and instruments. As an alternative of writing bespoke integration code for each API you need an AI to make use of, you hook up with an MCP-compliant interface and let the mannequin do the remainder.
The important thing level for enterprise groups: MCP is a significant shift in how AI can work together with the info your small business truly is determined by, securely and at scale, via pure language.
The Exactly MCP Server takes this a step additional by connecting to lots of of location intelligence instruments and information enrichment datasets — addresses, parcels, buildings, demographics, locations, danger elements, shopper spend, and extra — and making all of it queryable via plain language in no matter LLM interface you already use.
Exactly MCP Demo: From a Single Tackle to a Full Web site Choice Report
Throughout the dwell session, I walked via two situations that illustrate simply how rapidly the MCP server can transfer from easy question to complicated output.
- Geocoding with context, not simply coordinates. The primary instance was deliberately minimal. I typed an incomplete New York handle into Claude Desktop (no borough or ZIP) and requested for a geocode.
The MCP server dealt with handle autocomplete, returned latitude and longitude, and surfaced a PreciselyID: a singular, persistent identifier that Exactly appends to each addressable location – you’ll be able to see this because the PBKEY within the picture under.
That PreciselyID is value pausing on. It’s what permits a uncooked handle in your inside techniques to attach seamlessly to our total community of enrichment information — together with demographics, parcel attributes, constructing particulars, danger scores — with none guide matching or information engineering. One identifier, every little thing linked.
- A website choice report, generated in minutes. The second instance used a mission immediate to set Claude up as a lead viewers and website strategist. I gave it a system immediate defining the evaluation goal, specified the info I needed pulled via, and appended a shopper spend CSV representing first-party organizational information. Then I merely requested it to generate a website choice report for a similar handle.
What got here again would have beforehand taken hours and even days to assemble: viewers profile, visitors evaluation, retail spend close by, and advertiser match evaluation, all formatted, readable, and able to share. I might export it as a PDF or stand it up as a light-weight net app. The complete factor ran via pure language in Claude.
How Does The Exactly MCP Server Assist You Forestall AI Hallucinations?
That is the query that issues most for groups scaling AI in enterprise environments. The reply comes right down to information completeness.
When an AI mannequin encounters a query it will probably’t reply from its coaching information or accessible context, it doesn’t say “I don’t know.” It generates one thing believable. For normal data, that’s usually acceptable. For questions tied to particular locations, properties, or real-world circumstances, it’s a major danger.
The Exactly MCP server provides AI the grounding it wants. By making dwell, verified location intelligence accessible on demand throughout the similar interface the place the mannequin is already working, you’re each bettering output high quality and changing fabricated context with correct, present, authoritative information.
That adjustments the reliability profile of AI totally for location-dependent use instances.
DEVELOPER PORTALInformation 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 assist at your fingertips, you’ll have all of the instruments to carry your imaginative and prescient to life.
Which Industries and Use Instances Does Exactly MCP Server Help?
The location choice instance I demonstrated is one utility, however the underlying functionality maps throughout a variety of industries and workflows. Listed below are a couple of value calling out:
- Insurance coverage and monetary providers groups can construct danger evaluation workflows that pull wildfire publicity, flood zone classification, crime charges, and proximity to emergency providers for any handle on demand, via a conversational interface.
- Retail and actual property groups can analyze market enlargement alternatives utilizing service hole evaluation, inhabitants migration information, and shopper sentiment with out standing up a separate geospatial analytics stack.
- Telecommunications operators doing community planning can usher in infrastructure information, demographic density, and protection boundary info to tell AI-assisted website selections.
In every case, the MCP server handles the heavy lifting: figuring out which APIs to name, retrieving the correct information, and returning it in a format the AI can cause with straight.
Getting Began: Free, Open-Supply, and Mannequin-Agnostic MCP Server
The MCP server is obtainable without charge. It’s accessible via the Exactly GitHub repository, and designed to work with Claude Desktop and different main LLM interfaces.
The design is model-agnostic by design, so that you’re not locked into a selected software or vendor, and groups can use no matter AI interface matches their workflow.
The Exactly Developer Portal is one of the best place to start out. You’ll discover full API documentation, a fast begin information, authentication setup, and instance prompts that present precisely what’s potential.
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