MCP integration services

Connect AI agents to enterprise systems without losing control.

Splexion helps teams design MCP integrations that expose approved tools and data to agents through clear permissions, auditability and human review.

Discuss the fit

Start with the work, not the connector

Useful MCP integration begins by defining the business task, source systems, allowed actions, evidence requirements and approval points. The protocol then becomes a controlled interface, not an open-ended shortcut.

Least access should be designed early

Agents should see only the tools, records and actions required for the workflow. Splexion maps access patterns, identities, scopes, logging and escalation before production use.

Integration needs reviewable behaviour

A governed MCP pattern should make it possible to inspect what an agent requested, what tool responded, what evidence was used and where human approval changed the outcome.

What this creates

Useful outputs, not just advisory noise.

MCP integration architecture
Tool and permission inventory
Agent workflow and escalation design
Identity and least-access model
Audit and observability requirements
Pilot backlog for implementation

Connect AI agents to enterprise systems without losing control.

Start with the work, not the connector

Least access should be designed early

Integration needs reviewable behaviour

Useful outputs, not just advisory noise.

Continue the thread.

Bring the evidence, decision or delivery problem.