XcodeBuildMCP
A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
{
"mcpServers": {
"vex": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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CLI tool and MCP server for Vendure Admin API communication
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 8 days ago. 7 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
This server is missing a description. Tools and install config are also missing.If you've used it, help the community.
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A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
An open-source AI agent that brings the power of Gemini directly into your terminal.
XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.
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Your vendure admin-api graphql query executor. CLI tool and MCP server for the Vendure Admin GraphQL API.
Use vex from your terminal to manage products, customers, and orders — or connect it as an MCP server so Claude can do it for you.
npm install -g @spaceparrots/vex
This puts the vex command on your PATH.
Vendure 3.6+ is required. Vex uses the API key authentication method introduced in Vendure 3.6.
To set up your Vendure instance:
authOptions: {
tokenMethod: ['cookie', 'bearer', 'api-key'],
}
The key is sent via the vendure-api-key header on every request.
# Add an environment
vex env add dev --url http://localhost:3000/admin-api --api-key sk-123456
# List products
vex product list
# Create a customer
vex customer create --email john@example.com --first-name John --last-name Doe
# Run any GraphQL query
vex query '{ products { items { id name } totalItems } }'
# Fetch and cache the schema
vex schema fetch
vex env add <name> --url <url> --api-key <key> # Add environment
[--schema-type endpoint|file] # Schema source type
[--schema-value <value>] # Introspection URL or file path
[--fetch-schema] # Fetch schema immediately
vex env list # List all environments
vex env switch <name> # Switch active environment
vex env set <name> [--url <url>] [--api-key <key>] # Update environment fields
vex env remove <name> # Remove environment
vex env show [name] # Show environment details
vex schema fetch [--env <name>] # Fetch and cache GraphQL schema
vex query '<graphql>' [--variables '<json>'] # Run any query
vex mutate '<graphql>' [--variables '<json>'] # Run any mutation
Each resource supports list, get, create, update, and delete plus resource-specific actions (e.g. customer add-note, product add-variants, order transition). Run vex <resource> --help for full options.
Add to your project's .mcp.json or global ~/.claude.json:
{
"mcpServers": {
"vex": {
"command": "npx",
"args": ["-y", "@spaceparrots/vex"]
}
}
}
Windows might require to run it via
cmd /c "npx -y @spaceparrots/vex"
Running vex with no arguments starts the MCP server on stdio — this is what MCP clients expect.
Once connected, ask Claude:
Add my Vendure dev server at http://localhost:3000/admin-api with API key sk-1234
Then you can use natural language:
Create me a dummy order for product "shoes"
Claude will check if the product exists, create it if nee