Maxley AI vs. Maximo MCP Server
Understand the difference between an integration protocol and a business-ready AI solution for Maximo.
Protocol versus Solution
A standardized integration layer
The Model Context Protocol (MCP) Server for Maximo runs on an OpenShift pod and exposes Maximo data through standardized calls. MCP is an open protocol (originally created by Anthropic) that allows AI agents to connect to data sources.
It does not include an AI assistant, a user interface, skills, domain knowledge, security controls, analytics, context awareness or any of the capabilities that Maximo teams actually need to get value from AI.
A complete Maximo AI product
Maxley AI is a complete, production-ready AI assistant built specifically for IBM Maximo. It sits inside the Maximo interface as an overlay widget, understands what screen and record you’re looking at, enforces your organization’s security policies, and answers questions across every Maximo application — with pre-existing Maximo domain expertise and skills.
Maxley is not a toolkit, a framework, or a protocol. It’s a working product that your team will use on day one.
- An MCP Server is a way for a disconnected LLM to use a portion of the Maximo REST API.
- Maxley is a turnkey AI solution purpose-built for Maximo that can use the full Maximo REST API.
Different things for different purposes
| Maximo MCP Server | Maxley AI | |
|---|---|---|
| What is it? | Integration protocol adapter | Complete AI Agent for Maximo |
| MAS version requirement | 9.2 | Any 8.x, 9.x, or later version |
| User interface | None | In-Maximo chat widget with tables, charts, and record links |
| Screen awareness | None | Knows your current application, record, filters, and saved queries |
| Security enforcement | API key passthrough | Per-user security profile enforcement, table-level access control, site filtering, and configurable data privacy controls — all enforced at the gateway level, not the agent level. |
| Domain knowledge | None — generic tool interface | Curated knowledge of Maximo data model and application functionality, and work management, purchasing, inventory, and administration processes. |
| Dashboards | Not included | Live KPI dashboards with single sign-on from Maximo — no ETL, no external BI tool |
| Document analysis | Not included | Upload and analyze PDFs, images, and manuals; organization-wide document library |
| Conversation history | Not supported/applicable | Full conversation logging in the customer’s own Maximo database |
| Infrastructure Cost | Requires MAS 9.2 on a new OpenShift pod. (The IBM AI Assistant, which may use the MCP Server, has a significant set of additional infrastructure and licensing costs.) | None – provided as turnkey SaaS service on dedicated and isolated instance. |
A Few of the Capabilities MCP Cannot Address
An MCP Server solves one problem: giving an AI agent a way to call Maximo APIs. These are the problems it leaves unsolved — and the problems Maxley was built to solve:
Context Awareness
When a Maximo user asks “what’s the history on this asset?”, the answer depends entirely on which asset they’re looking at. Maxley knows. It reads the current application, the record on screen, active filters, and saved queries — and uses that context automatically.
An MCP-connected agent receives a raw text question with no screen context at all.
Security That Matches Your Maximo Policies
Maxley enforces your existing Maximo security model. Each user’s queries are governed by the same security groups, site authorizations, and application permissions they already have in Maximo.
An MCP Server authenticates with a single API key.
Maximo Domain Intelligence
Asking an AI to query Maximo data is easy. Getting correct answers is hard. Maximo’s data model has hundreds of tables, complex relationships, and domain-specific conventions that general-purpose AI models don’t understand. Maxley includes curated knowledge of how Maximo data actually works.
Dashboards and Analytics
Maxley includes live KPI dashboards accessible directly from Maximo with single sign-on. Operations managers can see work order completion trends, purchasing spend analysis, and inventory health — all powered by live Maximo data with the same security enforcement as the AI assistant. No data warehouse, no ETL pipeline, no external BI tool.
Production-Ready from Day One
Maxley is a managed solution. It deploys in hours, not weeks. There’s no model to train, no infrastructure to provision, no OpenShift cluster to expand. Your team gets help answering questions and solving problems on day one.
Managed Product Lifecycle
MaxStack maintains the user experience, gateway, Maximo skills, macros, dashboard framework, security features, and ongoing product enhancements.
Build an AI application or deploy an AI solution?
Maxley is for organizations that want a turnkey comprehensive, integrated, and configurable Maximo domain expert AI assistant.
Your organization prefers to build a custom AI application
- You have an AI and integration engineering team.
- You want to build and maintain custom tools and workflows.
- You have the infrastructure required for MAS AI Service.
Your Maximo teams want a comprehensive AI solution
- You want users to have access to AI inside Maximo.
- You need context-aware answers and data analysis.
- You want the AI to know Maximo well, with Maximo training & skills.
- You want to manage and configure the AI solution within Maximo.
- You want a managed AI solution with no upfront cost.
Maxley and Maximo MCP FAQ
You can connect an external AI agent to the MCP Server — but what you get is raw data access, not a Maximo agent. You would still need to build: the user interface, screen context awareness, security enforcement, domain knowledge for every Maximo module, conversation management, dashboards, document analysis, and every other capability that turns data access into a useful tool for your operations team. That’s what Maxley is.
While an MCP server is a useful tool for a developer, Maxley has no use for an MCP Server to reach the Maximo APIs. The MCP server exists to give agents that only speak MCP protocol a standardized way to reach portions of the Maximo REST API.
Maxley can already access the full Maximo REST API through its own isolated secure gateway per customer environment. This approach gives Maxley capabilities that the MCP Server’s Object Structure pipeline cannot support — like multi-table analytics, complex aggregations, and cross-application data traversal. Maxley doesn’t depend on an MCP server/pod or any other infrastructure prerequisites.
No. MCP is an integration protocol. Maxley is a business solution. They operate at different levels of the stack. Choosing MCP instead of Maxley is like choosing HTTP instead of a web application — the protocol doesn’t replace the actual business application.
Yes. An enterprise may use MCP for specific integration points while deploying Maxley to provide a turnkey comprehensive AI solution for users without the overhead cost.
Compare the entire operating model—not only the server component.
Include infrastructure, models, AI Service, tool development,
agent development, user interface, security design, testing,
support, upgrades, and long-term maintenance.
Maxley has
no AI Service prerequisites and no infrastructure cost, and the pay-as-you-go pricing
covers a managed product rather than only an integration endpoint.
The risk of AI hallucination is dramatically reduced when the agent is purpose-built for Maximo — equipped with domain expertise, validated skills, and institutional memory. General-purpose AI models, even the best available, lack the Maximo-specific knowledge needed to produce reliable answers consistently.
By design, Maxley guards against this using multiple means:
● Built for Maximo — curated Maximo domain expertise informs every interaction, so Maxley understands your data model, business processes, and application behavior out of the box.
● Validated Maximo skills — Maxley can execute skills and use tools built specifically for Maximo’s data model, ensuring actions follow proven patterns rather than best guesses.
● Schema validation — before constructing any data query, Maxley looks up the actual table structure, column names, and relationships rather than assuming or guessing.
● Security-aware — all queries respect the user’s Maximo security profile, including site-level and table-level access controls, so results are always scoped correctly.
● Pre-built and user-definable Macros let you test complex requests, verify the results, and save them for repeatable, consistent use — eliminating variability.
● The Maxley Lexicon application in Maximo allows you to customize the agent’s domain knowledge for any edge cases or organization-specific terminology.
Maxley also provides built-in validation and self-improvement methods:
● Data queries are included inline in each chat reply, so you can see exactly what was run and where Maxley’s answers come from.
● You can ask Maxley to cite sources of information directly in your chat session.
● If enabled, Maxley can self-report struggles on certain questions or tasks so its skill set can be enriched over time.
● Users can click a “Report Problem With Last Response” button in the chat pane if Maxley ever gives a questionable or confusing response, and that feedback can be used for further knowledge enrichment.
Reference documentation
IBM capabilities change over time. The comparison should be reviewed if MCP Server capabilities or requirements change.
See what production-ready AI looks like inside Maximo.
We’ll show Maxley using Maximo context, records, documents, operational analysis, dashboards, and governed workflows.