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Boundaryai

MCP server · by boundaryai

AI & ML Streamable HTTP v0.7.31

Deterministic runtime safety for AI agents: scan PII, gate tool actions, verify LLM output.

View source ↗ Website ↗ Generate config for multiple servers More servers

Install

unavailable — hosted endpoints aren’t versioned

Streamable HTTP
https://mcp.boundaryai.ai/mcp

Setup by client

Pick your client — the config below is generated for this server (hosted endpoint). Copy respects the “Pin version” switch above.

Remote (hosted) endpoint

https://mcp.boundaryai.ai/mcp

Claude Desktop: Settings → Connectors → Add custom connector, paste this URL, and provide: Authorization.

Format verified against the official Claude Desktop docs ↗.

Environment variables

Defined in the server's official registry manifest. Required secrets are shown as <YOUR_…> placeholders in the configs above.

  • Authorization required secret header — Bearer <your bai_ API key from https://boundaryai.ai — free, self-serve>

About this server

Distributed as Streamable HTTP, listed under AI & ML. Review our MCP security guide before granting access to real data.

Frequently asked questions

How do I install Boundaryai?

Run the install command shown above, then paste the config for your client (Claude Desktop, Claude Code, Cursor, VS Code or Windsurf) into its MCP settings and restart the client.

Is Boundaryai free to use?

The MCP server itself is free to install. The source is public on https://github.com/skvcool-rgb/BoundaryAI. Any third-party service it calls may require its own API key and account.

Which clients support Boundaryai?

Any MCP-compatible client can use it, including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf and custom agents.

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