AI Native Language
AINL helps turn AI from 'a smart conversation' into 'a structured worker.' It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, validation and control, and lower dependence on long
What is AI Native Language?
AI Native Language is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ainl helps turn ai from 'a smart conversation' into 'a structured worker.' it is designed for teams building ai workflows that need multiple steps, state and memory, tool use, repeatable execution, va...
AINL helps turn AI from 'a smart conversation' into 'a structured worker.' It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, validation and control, and lower dependence on long
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- AINL helps turn AI from 'a smart conversation' into 'a struc
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx ainativelangConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use AI Native Language
AI Native Language (AINL) is a domain-specific language and compiler toolchain that turns AI workflows into deterministic, multi-step execution graphs instead of free-form conversations. It gives teams explicit state management, compile-time validation, tool-call control, and structured output at every step. AINL integrates with MCP clients like Claude Code and Cursor, exposing tools so agents can validate, compile, and execute AINL workflow programs without leaving the chat interface.
Prerequisites
- Python 3.10 or higher installed
- pipx recommended for isolated installation (pip also works)
- An MCP client such as Claude Code CLI, Cursor, or Claude Desktop
- No external API keys required for core AINL features (AI provider keys needed only if your workflow calls external models)
Install AINL with MCP support
Install the ainativelang package with the MCP extras. The [mcp] extra includes the MCP server entry point needed for agent integration.
pipx install 'ainativelang[mcp]'Auto-configure your MCP client
Run the setup command, which detects your host environment (Claude Code, Cursor, Cline, Claude Desktop, etc.) and writes the MCP server configuration automatically with timestamped backups.
ainl setup --autoVerify the installation
Run the doctor command to get a full diagnostic report of your environment, installed adapters, and MCP integration status.
ainl doctorCreate and validate a workflow
Initialize a new AINL project and validate the generated workflow file to confirm the graph compiles correctly.
ainl init my-first-worker
cd my-first-worker
ainl check main.ainl --strictRun a workflow locally
Execute the workflow with the run command. Set AINL_DRY_RUN=1 to simulate execution without side effects.
ainl run main.ainl
# Dry run (no side effects):
AINL_DRY_RUN=1 ainl run main.ainlVisualize the workflow graph
Generate a Mermaid control-flow diagram of your workflow to inspect the execution graph visually.
ainl visualize main.ainl --output diagram.mdAI Native Language Examples
Client configuration
After running 'ainl setup --auto', the MCP config is written automatically. This is the equivalent manual entry for Claude Code.
{
"mcpServers": {
"ainl": {
"command": "ainl-mcp",
"args": [],
"env": {
"AINL_MCP_EXPOSURE_PROFILE": "safe_workflow",
"AINL_DRY_RUN": "0"
}
}
}
}Prompts to try
Use these prompts inside Claude Code or Cursor once the AINL MCP server is configured.
- "Validate my workflow at main.ainl and report any errors"
- "Compile the AINL file and show me the intermediate representation"
- "Run the workflow in my-first-worker project and return the output"
- "Visualize the execution graph for pipeline.ainl as a Mermaid diagram"
- "Show me adapter reference patterns I can use in my AINL workflow"Troubleshooting AI Native Language
ainl command not found after installation
If installed via pipx, run 'pipx ensurepath' and open a new terminal. If installed via pip, check that the Python scripts directory is on your PATH with 'python3 -m site --user-base' and add /bin to PATH.
MCP server tools not appearing in Claude Code or Cursor
Re-run 'ainl setup --auto' to regenerate the config. If auto-detection fails, run 'ainl install-mcp --host claude-code' explicitly. Then restart your MCP client to reload the server list.
Workflow validation fails with graph cycle or unreachable node errors
Run 'ainl check main.ainl --strict' to see detailed compile-time error messages. Use 'ainl visualize main.ainl --output -' to inspect the graph and identify the problematic node connections.
Frequently Asked Questions about AI Native Language
What is AI Native Language?
AI Native Language is a Model Context Protocol (MCP) server that ainl helps turn ai from 'a smart conversation' into 'a structured worker.' it is designed for teams building ai workflows that need multiple steps, state and memory, tool use, repeatable execution, validation and control, and lower dependence on long It connects AI assistants to external tools and data sources through a standardized interface.
How do I install AI Native Language?
Follow the installation instructions on the AI Native Language GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with AI Native Language?
AI Native Language works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is AI Native Language free to use?
Yes, AI Native Language is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Set Up AI Native Language in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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