Beyond MCP provides AI agents with advanced machine learning capabilities. It exposes tools for model training, evaluation, and deployment. The server connects to TensorFlow, PyTorch, and scikit-learn. Developers use it to build AI agents that can handle complex ML tasks, such as predictive modeling and data analysis.
Beyond MCP provides AI agents with advanced machine learning capabilities. It exposes tools for model training, evaluation, and deployment. The server connects to TensorFlow, PyTorch, and scikit-learn. Developers use it to build AI agents that can handle complex ML tasks, such as predictive modeling and data analysis.
pip install beyond-mcpAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"disler-beyond-mcp-github": {
"command": "uvx",
"args": [
"pip install beyond-mcp"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from beyond mcp?"
No configuration required. This server works out of the box.
"What resources are available in beyond mcp?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in beyond mcp"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in beyond mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.