MCP Gateway & Tool Control

"Govern, Secure and Control every AI Action"

Every MCP server behind one governed, sandboxed boundary.

Broker, sandbox, and govern every MCP tool call inline

Model Context Protocol lets agents reach external tools – and reach trouble if those tools are ungoverned. DeepintShield is a self-hosted MCP gateway that brokers every server behind one trust boundary, discovers and health-checks their tools, and authorizes each call through the same policy engine. For higher autonomy it runs a sandboxed code mode with no network, filesystem, or imports.

Key Features

Multi-transport Brokering

Connect MCP servers over streamable-HTTP, stdio, SSE, and in-process, with health monitoring and automatic reconnect.

Two-layer allow-lists

An execution allow-list plus a separate auto-execution allowlist decide which tools exist and which may run hands-free.

Starlark code-mode Sandbox

Agents orchestrate many tools in one block with no network/filesystem/imports, deterministic execution, and AST-validated nested calls (Enterprise VPC).

Parallel-tool safety

A safety registry serializes state-mutating concurrent calls so tools like create_order never race.

Gateway-brokered OAuth

Centralize and rotate MCP credentials, including RFC 7591 dynamic client registration, instead of scattering secrets across agents.

One-line framework gating

Govern tools in LangGraph, CrewAI, OpenAI Agents, LlamaIndex, AutoGen, and PydanticAI with a single wrap.
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MCP gateway, Model Context Protocol security, MCP server governance, Starlark code mode, MCP OAuth gateway, parallel tool call safety, LangGraph guardrails

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