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PalveronPalveron
AI GATEWAY AND MCP

Rules for your applications and agents.

Your applications and agents call AI models and tools through Palveron. Every request is checked before it reaches the model, and every decision is stored as a record.

How your rules apply

  1. Connect

    You connect applications and agents through an SDK for TypeScript, Python, Go, and Java, through the OpenAI-compatible proxy or through MCP.

  2. Check

    Every request is checked against baseline protection and your own rules before it reaches the model. Your rules apply per project.

  3. Approve

    For tool calls through MCP you decide for each tool whether it is allowed, blocked or usable only after approval by a person. An approval applies to exactly that call.

  4. Prove

    Every decision is stored as a record with an integrity hash and can be searched in the Trace Explorer.

What is available today

  • SDKs for TypeScript, Python, Go, and Java
  • A proxy for OpenAI-compatible calls
  • An MCP gateway with approval per server and rules per tool
  • An agent registry with risk levels
  • An emergency stop per project

What is planned

  • Human oversight of agents at three levels: monitor and intervene, approve defined actions, approve every action
  • Sign-in to MCP target servers through OAuth, after the launch

Put your agents under rules

In a demo we show you, using your own applications, how rules, approvals and records work together.

To the platform page: AI Gateway
Book a demo