Benthonlabs

MCP Framework

The Control Plane for
Secure AI Tool Access

Securely connect internal systems, databases, cloud services, and SaaS applications to AI agents through the Model Context Protocol (MCP). MCP Hub provides centralized tenant management, scoped access control, connector deployment, policy enforcement, PII protection, and complete tool-call auditing-all through a single control plane.

40+

Connectors Supported

1 Control Plane

Centralized Management

4-Layer

Security Guardrails

Core Technical Capabilities

Secure Agent Gateway

Every AI tool call passes through a governed gateway that validates requests, verifies permissions, applies execution controls, and records the interaction.

Enterprise Connector Fabric

Connect AI agents to S3, SMTP, MySQL, PostgreSQL, MongoDB, GitHub, Jira, CloudWatch, Prometheus, Outlook, and remote VM/SSH environments.

Data & PII Protection

Register schema fields by sensitivity and automatically mask or restrict confidential, PII, and restricted data according to user roles and policies.

Events, Webhooks & Audit

Capture tool activity through immutable audit records, Redis-backed event processing, subscriptions, and outbound webhooks for downstream systems and workflows.

Architectural Precision

MCP Hub introduces a controlled execution path between AI agents and enterprise systems. Instead of allowing agents to directly access sensitive tools and data, every request moves through multiple policy and security layers.

Integrated Into Enterprise Systems

Data Systems

Engineering & Collaboration

Cloud & Observability

Infrastructure & Communication

Case Studies

We build exceptional software with a focus on clean code, agile processes, and remarkable user experience.

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