Stack AI MCP Server
OfficialThis server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.

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"
This server cannot be deployed
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