Turn repeated integration into a shared contract.
Expose business services through consistent discovery and invocation, with clear integration boundaries.
MCP connections
Connect AI
to real work.
Data, knowledge and tools.
Ready for your AI to use.
Use Model Context Protocol to expose context and operations from enterprise systems through explicit contracts. Keep business boundaries intact while connecting the value you already have.
Explore the connectionBetween your application and existing systemsModel Context Protocol
Your AI applicationHost
Coordinates models, context and user review
Existing business systemsMCP Servers
MCP Client01
Data servicesQueries · aggregates · data context
MCP Client02
Knowledge servicesDocuments · guidance · references
MCP Client03
Business servicesActions · validation · receipts
Connection capabilities for your product, rather than a separate application.
Discuss MCP integrationBeyond the model,
your business already exists.
Useful intelligence needs context, evidence and the ability to act within appropriate permissions. A connection layer brings those capabilities within reach.
Bring business context into the task.
Retrieve the data and documents a task needs with their sources and usage conditions, reducing copying between systems.
Turn a request into a specific operation.
Define inputs, permitted actions and result structures. The host handles review and result presentation when business state may change.
One connection model.
Different responsibilities.
Queries, retrieval and writes need different boundaries. Choose a scenario to see how a request becomes a contract and how the result returns to the business.
The business request
“Summarise this period’s incident tickets by equipment type.”
Translate the request into a constrained data query. The connector limits datasets, fields and aggregations; the business system continues to enforce its own data permissions.
An explicit tool contract
query_incident_summarydataset: incident_orders
group_by: equipment_type
period: current_reporting_periodData with its definition
- Source
- incident_orders
- Group by
- equipment_type
- Period
- Current reporting period
- Result shape
- Equipment type, ticket count, source references
The model receives structured results for analysis. The query does not modify any tickets.
Give each capability a clear role
Tools to call.
Context to understand.
Tools
Perform a defined operation
For example: aggregate incidents or prepare a maintenance plan
Name and input schema describe the capability; invocation returns content or structured results. The implementation and policy must distinguish reads from writes.
tools/list → tools/callResources
Provide identifiable context
For example: manuals, requirements or data dictionaries
A resource URI identifies material for the application to select. Provenance, versions and permissions determine how it enters a task.
resources/list → resources/readPrompts
Reuse a working method
For example: maintenance review or data-quality prompt templates
Offer parameterised prompt templates that organise context and output requirements. Retrieving a template starts the task; it does not complete the operation.
prompts/list → prompts/getConnected.
Still in control.
MCP provides a communication contract. It does not automatically grant business permissions. Caller identity, permitted operations and result handling must stay consistent across the full chain.
01
Host application
Controls model-visible tools and context, presents specific changes, handles user review and determines how results enter the interface.
Decides when to act and who reviews it.02
Connection service
Validates inputs, invocation scope and credentials, adapts protocol calls to business interfaces and returns identifiable errors and structured results.
Gives every invocation an explicit contract.03
Business system
Enforces final access and action rules, handles idempotency, concurrency and transaction requirements, and retains business records and receipts.
Remains authoritative for business facts and access.From an interface
to a usable business connection.
Integration makes the contract work with real systems and real tasks. Start with a bounded, verifiable use case before extending to more workflows.
- 01
Define the contract
Agree on purpose, inputs, outputs and error semantics. Separate queries, retrieval and writes.
Capability inventory - 02
Connect identity & access
Map callers, data scope, credentials and review points. Configure remote HTTP authorisation for the protocol and deployment.
Access boundaries - 03
Handle runtime conditions
Define timeouts, rate limits, logs and receipts. Plan idempotency and uncertain-outcome reconciliation for side effects.
Failure-handling policy - 04
Validate real tasks
Test normal paths, denied access, missing fields and interruptions. Check whether the business can use the returned content correctly.
Integration acceptance evidence
Connect capabilities.
Then make them work together.
MCP connects tools and context. ID Axis organises task roles, dependencies, execution state and result verification. Connection and orchestration each have a distinct role.
Connection layerMCP
Discover · invoke by contract · return results
Execution layerID Axis
Understand · coordinate · verify delivery
Start with your business
What should
AI connect to next?
A data service, a knowledge base or a business action that needs careful execution. Tell us about your systems and goals, and we can define an appropriate integration.
Discuss your connection use caseRead the MCP integration guide