Model Context Protocol Gateway
Manage AI application access to MCP tools and data sources through centralized policies.
An MCP Gateway provides a layer for centrally managing access between AI applications and MCP servers. We assess tool and data source access alongside identity, authorization and logging needs. Scope depends on the selected solution's capabilities and your existing environment.
We assess the solution alongside your technical environment and operational goals.
MCP — Model Context Protocol connects AI applications to tools and data sources. At the gateway layer, we plan policies defining which clients can access which servers and tools.
We assess how user and application identities map to access permissions. Our evaluation covers correctly targeted access tokens, least privilege and integration with supported identity infrastructures.
We identify observability needs for tool call results, errors and usage volumes. We address service continuity alongside logging policies that avoid unnecessary storage of credentials and sensitive content.
We assess existing systems, users, dependencies and business goals to define the target architecture and product requirements.
Where appropriate, we prepare pilots, acceptance criteria and phased migration plans. We define rollback steps and responsibilities in advance.
We plan configuration and operating documentation, knowledge transfer and post-deployment support within the agreed scope.
Product features, licenses, integrations and deliverables are defined by the selected solution and the jointly agreed project scope.
Share your needs and existing infrastructure with us.
