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 offers 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 experiences by 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 barely 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 superb. However if you’re making choices which have a big influence on your enterprise, like about the place to open a brand new location, the best way 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 latest stay demo for Knowledge Science Join’s AI Demo Day.
Most organizations have substantial first-party information. What they typically lack is the location-specific context that ties that information to the actual world: drive instances, neighborhood demographics, close by companies, client conduct, flood zones, wildfire publicity, parcel particulars. With out that location intelligence layer, AI is basically reasoning blind.
The more durable half? Even organizations that know they want this information battle 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 plenty of time, effort, and friction earlier than you get any worth.
The Exactly MCP Server was constructed to take away that friction completely.
What Is an MCP Server, and Why Does It Matter for Enterprise AI?
When you’re new to Mannequin Context Protocol, the brief model is that this: MCP is an open customary developed by Anthropic that provides AI techniques a standardized strategy to entry exterior information sources and instruments. As a substitute 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 remaining.
The important thing level for enterprise groups: MCP is a significant shift in how AI can work together with the info your enterprise truly depends upon, securely and at scale, by pure language.
The Exactly MCP Server takes this a step additional by connecting to tons of of location intelligence instruments and information enrichment datasets — addresses, parcels, buildings, demographics, locations, danger elements, client spend, and extra — and making all of it queryable by plain language in no matter LLM interface you already use.
Exactly MCP Demo: From a Single Tackle to a Full Web site Choice Report
In the course of the stay session, I walked by two situations that illustrate simply how shortly 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 tackle into Claude Desktop (no borough or ZIP) and requested for a geocode.
The MCP server dealt with tackle 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 tackle in your inside techniques to attach seamlessly to our complete community of enrichment information — together with demographics, parcel attributes, constructing particulars, danger scores — with none handbook matching or information engineering. One identifier, all the pieces linked.
- A website choice report, generated in minutes. The second instance used a challenge 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 by, and appended a client spend CSV representing first-party organizational information. Then I merely requested it to generate a website choice report for a similar tackle.
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 whole factor ran by pure language in Claude.
How Does The Exactly MCP Server Assist You Stop 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 may well’t reply from its coaching information or obtainable context, it doesn’t say “I don’t know.” It generates one thing believable. For common information, that’s typically acceptable. For questions tied to particular locations, properties, or real-world situations, it’s a big danger.
The Exactly MCP server offers AI the grounding it wants. By making stay, verified location intelligence obtainable 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 completely for location-dependent use instances.
DEVELOPER PORTALKnowledge 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 knowledgeable help 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 positioning choice instance I demonstrated is one software, however the underlying functionality maps throughout a variety of industries and workflows. Listed below are just a few value calling out:
- Insurance coverage and monetary companies groups can construct danger evaluation workflows that pull wildfire publicity, flood zone classification, crime charges, and proximity to emergency companies for any tackle on demand, by a conversational interface.
- Retail and actual property groups can analyze market growth alternatives utilizing service hole evaluation, inhabitants migration information, and client sentiment with out standing up a separate geospatial analytics stack.
- Telecommunications operators doing community planning can herald infrastructure information, demographic density, and protection boundary info to tell AI-assisted website choices.
In every case, the MCP server handles the heavy lifting: figuring out which APIs to name, retrieving the appropriate 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 accessible for free of charge. It’s obtainable by 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 device or vendor, and groups can use no matter AI interface matches their workflow.
The Exactly Developer Portal is the perfect place to begin. You’ll discover full API documentation, a fast begin information, authentication setup, and instance prompts that present precisely what’s doable.
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