Computational infrastructure that connects data and intelligent services

Infrastructure for AI

An enterprise foundation for connecting AI, tools and data through MCP.

CODETORQ provides internal capabilities to AI agents and applications in a governed layer.

CODETORQ

A common language between AI and the organization.

CODETORQ is an enterprise Model Context Protocol server for providing internal capabilities to AI agents and applications.

Centralizes integrations, access policies and technical operations in a layer prepared for organizational environments.

Capabilities

MCP with governance, integration and visibility.

01

Tool catalog

Structured publication of capabilities through MCP.

02

Access control

Definition of permissions for agents, users and contexts.

03

Systems integration

Connection of internal services without directly exposing their complexity.

04

Operational Observability

Monitoring of calls, errors and use of tools.

Where CODETORQ creates a common basis.

Infrastructure to transform isolated integrations into a reusable enterprise capability.

01 / Access

Internal systems for agents

Make data and actions available in a secure, explicit and controlled way.

02 / Standardization

MCP between teams

Define a common standard for integrations created and maintained in different contexts.

03 / Platform

A shared layer

Support multiple enterprise AI applications without repeating the same complexity.

Connected infrastructure for applied intelligence.

CODETORQ connects platform architecture to the responsible use of AI in a business context.

Connected Platforms

Data & Intelligence ↗︎

Apply CODETORQ

Give agents access to what they need. Keep control.

Talk to us about the systems and tools you want to make available through MCP.

Talk to the team