MCPStack provides a Scikit-Learn-like pipeline for stacking and orchestrating MCP tools. It exposes a modular framework for chaining MCP servers, managing data flow, and handling errors. It connects to any MCP-compatible server, allowing developers to build complex AI workflows. Use it to create reusable, maintainable AI pipelines for LLMs.
MCPStack provides a Scikit-Learn-like pipeline for stacking and orchestrating MCP tools. It exposes a modular framework for chaining MCP servers, managing data flow, and handling errors. It connects to any MCP-compatible server, allowing developers to build complex AI workflows. Use it to create reusable, maintainable AI pipelines for LLMs.
pip install MCPStackAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"mcp-pipeline-mcpstack-github": {
"command": "uvx",
"args": [
"pip install MCPStack"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from MCPStack?"
No configuration required. This server works out of the box.
"What resources are available in MCPStack?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in MCPStack"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in MCPStack with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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