
Gateplex
@GateplexAI
Gateplex について
Governance firewall for autonomous AI agents. Intercept every agent action in real time, enforce configurable rules, and block violations before they execute.
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"gateplex": {
"command": "npx",
"args": [
"smithery",
"mcp",
"add",
"gateplex/gateplex"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Gateplex?
Gateplex is a real-time governance firewall for autonomous AI agents that intercepts every agent action, checks it against configurable rules, and blocks or flags it before execution. It works with any LLM or framework via a single API call, requiring zero code changes.
How to use Gateplex?
Use Gateplex by calling its provided tools: log_intercept to send an intercept event, get_feed to retrieve the latest intercepts, and check_guardrails to list active guardrail rules. Begin by visiting gateplex.ai to sign up.
Key features of Gateplex
- Real-time interception of every autonomous agent action
- Configurable guardrail rules for blocking or flagging actions
- Single API call integration with any LLM or framework
- Zero code changes required for existing agent pipelines
- Tools: log_intercept, get_feed, check_guardrails
Use cases of Gateplex
- Enforcing safety policies for autonomous AI agents in production
- Monitoring and auditing agent actions without modifying agent code
- Implementing custom rule sets for compliance and risk management
FAQ from Gateplex
What does Gateplex do?
Gateplex is a governance firewall that intercepts every action from an autonomous AI agent, checks it against your configured rules, and blocks or flags the action before it executes.
How do I integrate Gateplex with my agent?
Make one API call from any LLM or framework. No code changes are needed — just use the provided tools (log_intercept, get_feed, check_guardrails) to interact with the firewall.
Where can I get started?
Visit gateplex.ai to sign up and begin using the service.
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