Does AgentGrid replace my MCP server?

No. AgentGrid is designed to work alongside MCP infrastructure. Your existing tools remain available while AgentGrid adds policy enforcement, approval workflows, and auditability around their use.

Does installing the skill alone enforce security policies?

No. The skill provides the agent-facing workflow and instructions. Enforcement features require the AgentGrid control plane or MCP integration.

Which agents can use AgentGrid?

The skill uses the open SKILL.md format and is intended for compatible agent environments including Claude Code, Codex CLI, Cursor, VS Code Copilot, Gemini CLI, and other compatible tools.

Developers and teams building AI agents that interact with sensitive tools, local environments, infrastructure, internal APIs, or production systems.

AgentGrid — MCP Security & Governance

Example session with this skill installed

I need to deploy this application. Before running any shell commands or modifying infrastructure, evaluate the required actions through AgentGrid. Block anything prohibited by policy and request my approval before executing sensitive operations.

Read your context and instructions
Compiled the agentgrid

AgentGrid Security Review
AgentGrid evaluated the proposed deployment workflow before execution.
Action Risk Decision
Read deployment configuration Low ALLOW
Run project tests Low ALLOW
Build Docker image Medium ALLOW
Access production credentials High REQUIRE_APPROVAL
Modify production infrastructure High REQUIRE_APPROVAL
Delete existing resources Critical BLOCK

Decision
Safe read-only and build operations may continue automatically.
Access to production credentials and infrastructure changes requires explicit human approval.
Destructive resource deletion has been blocked by policy.
Next step
Review the high-risk operations and explicitly approve them before AgentGrid permits execution.

Connects securely to your tools. The creator never sees your data.

About this skill

AgentGrid helps AI coding agents use MCP tools more safely by introducing a governance layer around tool execution. Instead of allowing an agent to invoke sensitive tools without scrutiny, AgentGrid provides a structured workflow for evaluating actions before execution. It can classify tool calls, apply configurable policies, require human approval for sensitive operations, block disallowed actions, and preserve an audit trail of execution decisions. The skill is designed for developers working with agentic systems, MCP servers, coding agents, and automation workflows where unrestricted tool access creates unnecessary risk. What AgentGrid helps with

Evaluate MCP tool calls before execution
Apply allow, block, or approval-required policies
Reduce accidental destructive or privileged actions
Introduce human approval for sensitive operations
Keep auditable records of security decisions
Encourage least-privilege and default-deny workflows
Make agent behavior easier to inspect and govern Typical use cases
AI coding agents with shell or filesystem access
Internal developer agents
MCP servers exposing sensitive tools
Infrastructure automation
Security-sensitive agent workflows
Teams evaluating AI-agent governance AgentGrid is intended to complement MCP infrastructure rather than replace it. The skill guides compatible agents through the governance workflow while AgentGrid provides the underlying policy and control layer.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

Reviews

No reviews yet

Be one of the first to try it. Every listed skill passes our trust checks below.

Security scanned

Passed our 8-point scan before listing

Fresh listing

Recently published to Agensi

Free forever

No account required to browse

AgentGrid — MCP Security & Governance