MCP server and Python SDK that generates, runs and refines AI agent workflows from natural language (Generative Workflow, A2A, FastAPI).
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FlowX is an MCP server that MCP server and Python SDK that generates, runs and refines AI agent workflows from natural language (Generative Workflow, A2A, FastAPI). Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 76/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"flowx": {
"url": "<see-readme-for-url>"
}
}
}Are you the author?
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FlowX is an MCP server and Python SDK that lets AI agents build workflows. Describe a process in plain language; FlowX generates the workflow graph (workflow.json), the node implementations, and a runnable FastAPI backend. The agent can then inspect, run, and change that workflow in the same conversation, so it becomes a reusable process instead of a one-off answer.
This server supports HTTP transport. Be the first to test it - help the community know if it works.
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