RIG FAQs

Question 1

What is an MCP server and how does RIG integrate with it?

Accepted Answer

MCP (Multi-Modal Communication Protocol) is a standard for tool discovery and invocation. RIG Bridge instantly converts your entire catalog of managed tools into a standardized MCP server, enabling seamless integration with any MCP-compatible AI client.

Question 2

What is RIG (Runtime Integration Gateway)?

Accepted Answer

RIG is a platform designed for AI agents, acting as an 'SDK tool operating system.' It transforms various SDKs into structured, secure tools, providing a robust execution environment and exporting them as a standardized MCP server.

Question 3

How does RIG enable AI agents to use SDKs?

Accepted Answer

RIG utilizes 'packs' (Python pip or Node.js npm packages) that wrap existing SDKs. These packs expose SDK functionalities as structured tools with JSON schemas, making them easily discoverable and usable by AI agents.

Question 4

What security features does RIG offer for tool execution?

Accepted Answer

RIG Runtime ensures secure tool execution through comprehensive features including input validation, secrets isolation, policy enforcement, approval workflows, retry mechanisms, and detailed audit logging for full transparency.

Question 5

What types of SDKs can RIG integrate?

Accepted Answer

RIG offers broad compatibility, supporting tool packs built using both Python (via standard pip packages) and Node.js (via npm packages), allowing you to integrate a wide range of existing SDKs.

RIG

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Key Features

Use Cases

Key Features

Use Cases