mcp-server
npxStandardMCP server exposes a JSON-RPC 2.0 interface for AI agents to interact with machine learning models. It provides tools for model inference, training, and management. The server connects to local or cloud-based ML frameworks like TensorFlow and PyTorch. Developers use it to integrate ML capabilities into applications, automate model workflows, and deploy ML services.
400Updated 2/6/2025
Overview
MCP server exposes a JSON-RPC 2.0 interface for AI agents to interact with machine learning models. It provides tools for model inference, training, and management. The server connects to local or cloud-based ML frameworks like TensorFlow and PyTorch. Developers use it to integrate ML capabilities into applications, automate model workflows, and deploy ML services.
Installation
1Install the package
npx
npx -y mcp-server2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"mcp-server-npm": {
"command": "npx",
"args": [
"-y",
"npx -y mcp-server"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from mcp-server?"
Prerequisites
- Node.js 18 or higher
- npm or npx available
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in mcp-server?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in mcp-server"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in mcp-server with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with mcp-server
See what tools in your stack can connect to AI.
Run free scan
Need help with MCP integration?
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.