Magg is an MCP aggregator that allows AI agents to manage and interact with multiple MCP servers through a single interface. It provides tools for routing requests to specific MCP servers, aggregating responses, and handling errors. Magg connects to any MCP-compliant server, enabling developers to build complex workflows that span multiple AI services. Use it to simplify interactions with multiple MCP servers, centralize control, and streamline AI agent workflows.
Magg is an MCP aggregator that allows AI agents to manage and interact with multiple MCP servers through a single interface. It provides tools for routing requests to specific MCP servers, aggregating responses, and handling errors. Magg connects to any MCP-compliant server, enabling developers to build complex workflows that span multiple AI services. Use it to simplify interactions with multiple MCP servers, centralize control, and streamline AI agent workflows.
pip install maggAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"sitbon-magg-github": {
"command": "uvx",
"args": [
"pip install magg"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from magg?"
No configuration required. This server works out of the box.
"What resources are available in magg?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in magg"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in magg 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.