Actlane Guide Library

Safe AI agent actions start with explicit contracts

Guides on MCP security, AI agent governance, tool-call policy, capability contracts and safe draft PR workflows.

MCP securityAI agent governancecapability contractspolicy bundlessafe draft PR
Overview diagram of Actlane capability contracts, generated integrations and policy enforcement
One capability definition can generate runtime-facing integrations, agent instructions and policy enforcement artifacts.

Core Reading

  1. AI Agent Governance for Tool Calls: From Prompt Rules to Enforceable Policy
  2. Brownfield AI Agent Adoption: Add Capability Contracts Without Breaking Existing Projects
  3. Generate MCP, OpenAPI and Agent Configs from One Capability
  4. Human Approval for AI Agent Actions: When to Pause Before Tool Execution
  5. MCP Gateway vs Capability Contract: What Is the Difference?
  6. MCP Security for AI Agent Tool Calls: Why Prompts Are Not Enough
  7. MCP Tool Poisoning Defense: Protect AI Agents at the Tool-Call Layer
  8. OpenAI Actions vs MCP Tools: How to Avoid Duplicated Agent Integrations
  9. Prompt Rules vs Policy Bundles for AI Agents
  10. Safe AI-Assisted Draft PR Workflow with MCP and Policy Checks

Documentation

Short path into capability contracts, generation targets and runtime policy ideas.

About Actlane

What Actlane generates, why governance belongs at the tool-call layer and how the project is positioned.

GitHub Repo

See the repository, examples and the safe draft PR workflow reference implementation.

About Actlane

Actlane is a DSL-first toolkit for safe AI-agent actions. Define a capability once, and it generates MCP tools, OpenAPI Actions, IDE configs and policy bundles from a single source of truth.

Explore on GitHub · See the safe draft PR example