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Connect AI assistants to your Vaiz workspace: tasks, projects, boards, documents and milestones.
Connect AI assistants to your Vaiz workspace: tasks, projects, boards, documents and milestones.
Valid MCP server (2 strong, 4 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
7 files analyzed ยท 1 issue found
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This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: VAIZ_API_TOKEN
Environment variable: VAIZ_SPACE_ID
Environment variable: VAIZ_API_URL
Add this to your MCP configuration file:
{
"mcpServers": {
"com-vaiz-mcp": {
"env": {
"VAIZ_API_URL": "your-vaiz-api-url-here",
"VAIZ_SPACE_ID": "your-vaiz-space-id-here",
"VAIZ_API_TOKEN": "your-vaiz-api-token-here"
},
"args": [
"-y",
"vaiz-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
MCP (Model Context Protocol) client for Vaiz โ connect Cursor/Claude to your Vaiz workspace.
npm install -g vaiz-mcp
Or use directly via npx:
npx vaiz-mcp
| Variable | Required | Description |
|---|---|---|
VAIZ_API_TOKEN | Yes | Your Vaiz API key (Bearer token) |
VAIZ_SPACE_ID | No | Your Vaiz Space ID |
VAIZ_API_URL | No | MCP API URL (default: https://api.vaiz.com/mcp) |
VAIZ_DEBUG | No | Set to true for debug output to stderr |
Create or edit ~/.cursor/mcp.json:
{
"mcpServers": {
"vaiz": {
"command": "npx",
"args": ["vaiz-mcp@latest"],
"env": {
"VAIZ_API_TOKEN": "your-api-key",
"VAIZ_SPACE_ID": "your-space-id"
}
}
}
}
Or after global installation (npm install -g vaiz-mcp):
{
"mcpServers": {
"vaiz": {
"command": "vaiz-mcp@latest",
"env": {
"VAIZ_API_TOKEN": "your-api-key",
"VAIZ_SPACE_ID": "your-space-id"
}
}
}
}
Add to claude_desktop_config.json:
{
"mcpServers": {
"vaiz": {
"command": "npx",
"args": ["vaiz-mcp@latest"],
"env": {
"VAIZ_API_TOKEN": "your-api-key",
"VAIZ_SPACE_ID": "your-space-id"
}
}
}
}
After configuration, Cursor/Claude will automatically connect to your Vaiz workspace and gain access to:
To enable debug output, add the VAIZ_DEBUG variable:
{
"mcpServers": {
"vaiz": {
"command": "npx",
"args": ["vaiz-mcp@latest"],
"env": {
"VAIZ_API_TOKEN": "your-api-key",
"VAIZ_DEBUG": "true"
}
}
}
}
Debug messages will be output to stderr.
You can also use the library programmatically:
import { createVaizMCPClient } from 'vaiz-mcp';
const client = createVaizMCPClient({
apiKey: 'your-api-key',
spaceId: 'your-space-id',
});
// Initialize connection
const initResult = await client.initialize();
// Get list of tools
const tools = await client.listTools();
// Call a tool
const result = await client.callTool('search', {
query: 'important task',
entityType: 'task'
});
# Clone the repository
git clone https://github.com/vaiz/vaiz-mcp.git
cd vaiz-mcp
# Install dependencies
npm install
# Build the project
npm run build
# Run in development mode
npm run dev
MIT
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