Technical Debt — Governed Agents & MCP

Safe, governed automation for technical debt remediation

It introduces governed agents and Model Context Protocol (MCP) integration to automate technical debt remediation with security, permissions and human oversight. It connects AI agents with your infrastructure, code and cloud tools to take contextual actions safely.

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Agent Proposals

86↑ 32%vs previous period

✓

Approved Actions

54↑ 28%vs previous period

◷

Pending Review

18↓ 12%vs previous period

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Successful Executions

48↑ 41%vs previous period

Architecture

MCP connects governed agents to your tools and data with clear permission boundaries.

Data Sources

☁

AWS

Resources, findings, costs

◉

GitHub

Repos, dependencies

⬡

Infrastructure

Terraform, Kubernetes

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Policies

Rego, Compliance rules

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Axio MCP

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Context tools

Retrieve and analyze data

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Permission controls

Policy-based access (RBAC)

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Audit & logging

Track all agent actions

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AI Agents

⌕

Analyze

Find and explain issues

⚑

Propose

Generate remediation plan

⚙

Execute (with Approval)

Run changes safely

▤

Verify

Confirm resolution

Available MCP tools

Key tools that agents can use to work with your infrastructure and code.

Tool	Description	Data Source	Permissions
list_resources	Get cloud resources and metadata	AWS, GCP, Azure	Read
get_findings	Retrieve security and compliance findings	Security Hub, Inspector	Read
analyze_dependencies	Analyze code dependencies	GitHub	Read
generate_remediation	Create remediation plan	AI Model	Restricted
apply_changes	Execute approved changes	Terraform, Kubernetes	Write (Approved)
verify_resolution	Confirm remediation	All sources	Read

Permission model

Governed access with fine-grained permissions.

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Role-based access control (RBAC)

Control which agents can use which tools

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Policy enforcement

Apply organizational policies and constraints

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Human approval

Require approval for sensitive actions

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Audit logging

Track all agent actions and changes

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Environment isolation

Separate permissions for dev, staging and prod

Example agent workflow

From finding to verified remediation with human approval.

1

Analyze

Agent analyzes technical debt item using MCP context tools

Automated

↓

2

Propose

Generate remediation plan with impact analysis

Automated

↓

3

Review & Approve

Human review with policy and compliance checks

Manual

↓

4

Execute

Run approved changes via MCP with audit logging

Automated

↓

5

Verify

Confirm resolution and update technical debt status

Automated

Benefits

• Context-aware remediation with real infrastructure and code data
• Safe execution with permissions and human oversight
• Faster resolution of technical debt items
• Reduced manual effort for platform and security teams
• Complete audit trail for compliance and governance
• Scalable automation across cloud and code environments