Stack Ai Mcp
What is Stack Ai Mcp
Stack AI MCP is a Model Context Protocol server designed for building and deploying AI applications. It connects to Stack AI workflows, allowing users to run these workflows through MCP-compatible clients.
Use cases
Use cases for Stack AI MCP include automating data processing tasks, integrating AI models into existing applications, and enhancing decision-making processes through structured AI responses.
How to use
To use Stack AI MCP, set the required environment variables, clone the repository, navigate to the project directory, and install the dependencies using npm. After setup, you can run your Stack AI workflows directly.
Key features
Key features include the ability to run Stack AI workflows through MCP, pass user inputs to workflows, and receive structured responses from workflow results.
Where to use
Stack AI MCP can be used in various fields such as AI development, data analysis, and enterprise application integration, where there is a need to connect and enhance AI capabilities with enterprise data sources.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Stack Ai Mcp
Stack AI MCP is a Model Context Protocol server designed for building and deploying AI applications. It connects to Stack AI workflows, allowing users to run these workflows through MCP-compatible clients.
Use cases
Use cases for Stack AI MCP include automating data processing tasks, integrating AI models into existing applications, and enhancing decision-making processes through structured AI responses.
How to use
To use Stack AI MCP, set the required environment variables, clone the repository, navigate to the project directory, and install the dependencies using npm. After setup, you can run your Stack AI workflows directly.
Key features
Key features include the ability to run Stack AI workflows through MCP, pass user inputs to workflows, and receive structured responses from workflow results.
Where to use
Stack AI MCP can be used in various fields such as AI development, data analysis, and enterprise application integration, where there is a need to connect and enhance AI capabilities with enterprise data sources.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Connect your enterprise data sources and enhance your AI capabilities.
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.git -
Navigate to the project directory:
cd stack-ai-mcp -
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”
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
