Stack AI MCP Server
OfficialClick on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Stack AI MCP Serverrun the data analysis workflow for my latest sales report"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.

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 IDSTACK_AI_PROJECT_ID: Your Stack AI project IDSTACK_API_KEY: Your Stack AI API key
Installation
Clone the repository to your local machine:
git clone https://github.com/stackai/stack-ai-mcp.gitNavigate to the project directory:
cd stack-ai-mcpInstall 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 devThis will start the server and you should see: "Stack AI MCP Server running on stdio"
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