Who it is forA support or operations lead who wants a repeatable ticket triage process, and an agent client already connected to a local MCP server.
The problemA one-off chat answer about ticket triage is lost after the conversation and cannot be rerun.
The outcomeA reusable workflow on disk under workspace/workflows/ that classifies a ticket, assigns a priority, and drafts a reply.
What you need first
- Python 3.10 or later
- An LLM provider, model, and API key for FLOWX_LLM_PROVIDER, FLOWX_LLM_MODEL, and FLOWX_LLM_API_KEY
- A local MCP-capable agent client, or the Python SDK in your own script
- A writable folder for FLOWX_DEFAULT_WORKSPACE
Steps
- Run
python3.10 -m venv .venv && source .venv/bin/activatein the FlowX folder. - Run
python -m pip install -e . - Copy the example settings with
cp .env.example .env, then set FLOWX_LLM_PROVIDER, FLOWX_LLM_MODEL, FLOWX_LLM_API_KEY, and FLOWX_DEFAULT_WORKSPACE. - Register flowx-mcp in your MCP client using the config example in the README, with the absolute path to the executable.
- Ask the agent: Use flowx to build a workflow that accepts a support ticket, classifies its category, assigns a priority, and drafts a reply.
Prompt for your agent
Use the FlowX MCP server in the repo at <repo-path> to build a workflow that accepts a support ticket, classifies its category, assigns a priority, and drafts a reply. Report the workflow ID and the paths of the generated workflow.json and node files. Verify that the files exist under the FLOWX_DEFAULT_WORKSPACE folder.
Caveat. Generated workflows depend on the LLM provider and model you configure, so review the generated node code before relying on its output.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for AIpRoBuilder/FlowX and "Build a support ticket workflow from a chat request"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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