<div align="center"><strong>Stack AI MCP Server</strong></div> <div align="center">A powerful MCP server for building and deploying AI applications.<br />Connect your enterprise data sources and enhance your AI capabilities.</div> <br /> <div align="center"> <a href="https://stack-ai.com">Website</a> <span> · </span> <a href="https://github.com/stackai/stack-ai-mcp">GitHub</a> <span> · </span> <a href="https://discord.gg/sSbwawtNsV">Discord</a> </div>

Stack AI MCP Server

A Model Context Protocol (MCP) server that connects to Stack AI workflows, allowing you to run your Stack AI workflows directly through MCP-compatible clients.

Features

• Run Stack AI workflows through MCP
• Pass user inputs to your workflows
• Receive workflow results as structured responses

Setup

Prerequisites

You'll need the following Stack AI credentials:

• STACK_AI_ORG_ID: Your Stack AI organization ID
• STACK_AI_PROJECT_ID: Your Stack AI project ID
• STACK_API_KEY: Your Stack AI API key

Installation

1. Clone the repository to your local machine:

   git clone https://github.com/stackai/stack-ai-mcp.git
   

2. Navigate to the project directory:

   cd stack-ai-mcp
   

3. Install the dependencies:

   npm install
   

Claude Desktop Configuration

To use the Stack AI MCP Server with Claude Desktop, add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "stack-ai-workflow": {
      "command": "node",
      "args": ["/absolute/path/to/stack-ai-mcp/src/main.ts"],
      "env": {
        "STACK_AI_ORG_ID": "your_org_id_here",
        "STACK_AI_PROJECT_ID": "your_project_id_here", 
        "STACK_API_KEY": "your_api_key_here"
      }
    }
  }
}

Replace /absolute/path/to/stack-ai-mcp/src/main.ts with the actual absolute path to your cloned repository, and replace the environment variable values with your actual Stack AI credentials.

Testing Locally

To test the MCP server locally:

npm run dev

This will start the server and you should see: "Stack AI MCP Server running on stdio"