<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:
```bash
git clone https://github.com/stackai/stack-ai-mcp.git
```
2. Navigate to the project directory:
```bash
cd stack-ai-mcp
```
3. Install the dependencies:
```bash
npm install
```
### Claude Desktop Configuration
To use the Stack AI MCP Server with Claude Desktop, add the following to your `claude_desktop_config.json`:
```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:
```bash
npm run dev
```
This will start the server and you should see: "Stack AI MCP Server running on stdio"
