Open FAQs

Question 1

What is Open and what problem does it solve?

Accepted Answer

Open is an enterprise-grade C++ Model Context Protocol (MCP) server. It provides a standardized way to expose LLM tools, create prompt-driven AI skills, and discover remote AI services, solving the complexity of integrating diverse LLM capabilities into applications.

Question 2

How does Open integrate with Large Language Models (LLMs)?

Accepted Answer

Open utilizes a LiteLLM proxy for its `llm` tool, enabling multi-provider support for various LLM services like OpenAI, Anthropic, and others. This offers flexibility and abstraction for LLM completions.

Question 3

Can I define custom AI behaviors or 'skills' with Open?

Accepted Answer

Yes, Open features a flexible skill engine where you can define reusable prompt templates as JSON files. These templates support variable interpolation, allowing you to easily create and manage custom, prompt-driven AI skills.

Question 4

What transport and security features does Open provide?

Accepted Answer

Open supports both HTTP (with options for `cpp-httplib` or high-performance `uWebSockets`) and binary-safe Stdio for communication. For security, it includes rate limiting, API key authentication, input sanitization, and standard HTTP security headers.

Question 5

How does Open support composite AI applications and agentic workflows?

Accepted Answer

Open facilitates agentic workflows through its `remote` tool and server discovery. It can route tool calls to other registered MCP servers based on capabilities, priority, and timeout, enabling the creation of composite commands and distributed AI systems.

Open

Open

主要功能

使用案例

主要功能

使用案例