ainativelang

概述

AINL 是一个紧凑的、图范式的 AI 编程系统，旨在将 AI 从'智能对话'转变为'结构化工作者'。它使团队能够构建具有多步骤、状态和记忆、工具使用、可重复执行、验证和控制功能的 AI 工作流，同时减少对长提示循环的依赖。该 MCP 服务器提供工具和资源，用于确定性工作流执行、令牌节约以及与各种 AI 代理和平台的集成。

试试问 AI

装完之后，这里有 3 个你可以让 AI 做的事：

• ainl_step_examples

  Provides examples of AINL steps for workflow development

  试试:Show me examples of AINL steps试试:Give me some workflow examples in AINL
• ainl_get_started

  Guides users through initial setup of AINL with wizard state

  试试:Help me get started with AINL试试:Show me the AINL setup wizard
• ainl_validate

  Validates AINL workflows and checks contract alignment

  试试:Validate this AINL workflow试试:Check if my AINL code follows contracts
• ainl_compile

  Compiles AINL code into deterministic IR graph

  试试:Compile this AINL workflow试试:Turn my AINL code into a graph
• ainl_inspect

  Inspects AINL workflows and their components

  试试:Inspect this AINL workflow试试:Show me details about my AINL code
• ainl_visualize

  Generates visualizations of AINL workflow graphs

  试试:Visualize my AINL workflow试试:Create a diagram of my AINL graph
• ainl_check

  Performs checks on AINL workflows for correctness

  试试:Check my AINL workflow for errors试试:Validate this AINL script

说明：Tool names extracted from MCP server documentation and new features section. Some tools like 'ainl_validate' and 'ainl_compile' are mentioned as MCP functionality but detailed signatures aren't provided in the README.

可对比工具

安装

pipx install 'ainativelang[mcp]' && ainl setup --auto

python3 -m pip install --user 'ainativelang[mcp]' && ainl setup --auto

{
  "mcpServers": {
    "ainl": {
      "command": "ainl-mcp",
      "args": []
    }
  }
}

ainativelang 对比