Flowiseai

@Flowiseai list all my chatflows and show me which ones haven't been updated in the last 30 days

Retrieved 12 chatflows from your FlowiseAI workspace. Based on the last modified timestamps, 4 chatflows appear inactive for 30+ days: 'Customer Support Bot v1' (last updated 47 days ago), 'Product FAQ Assistant' (62 days), 'Lead Qualification Flow' (89 days), and 'Internal Wiki Search' (103 days). The remaining 8 chatflows have recent activity, with 'Sales Demo Bot' updated yesterday and 'Onboarding Assistant' modified 3 days ago. This is an illustrative example showing how the MCP would surface chatflow metadata for analysis.

This example demonstrates read-only discovery using the Get All Chatflows tool. The MCP returns raw chatflow objects; the AI performs the date comparison and filtering. Requires valid API key with read permissions. No side effects—safe for exploratory queries about your FlowiseAI workspace structure.

@Flowiseai clone the 'Customer Support Bot v1' chatflow and name the copy 'Customer Support Bot - EU Region'

Successfully cloned chatflow ID cf_a8b2c4d6 ('Customer Support Bot v1') to new chatflow ID cf_e9f1g3h5. The new chatflow 'Customer Support Bot - EU Region' inherits all nodes, connections, and configuration from the original. You'll need to manually update any region-specific API endpoints or credentials in the cloned flow's settings before deploying. This illustrative example shows the typical clone operation response structure.

Showcases the Clone Chatflow tool for duplicating complex flows. This is a write operation that creates a new resource in your FlowiseAI account. The cloned flow starts in draft state—you must configure environment-specific settings separately. Useful for maintaining regional variants or creating test environments from production flows.

@Flowiseai delete all chat messages from the 'Sales Demo Bot' chatflow that are older than 90 days to clean up test data

Executed deletion request for chatflow ID cf_k7m9n2p4 ('Sales Demo Bot'). The Delete Chat Messages operation targets messages older than 90 days. Based on typical FlowiseAI behavior, this would remove historical test conversations while preserving recent interactions. Note: This is a destructive operation with no undo—the actual deletion count depends on your message retention and chatflow activity. This example illustrates the expected confirmation response.

Demonstrates the Delete Chat Messages tool for data hygiene. This is a destructive write operation—deleted messages cannot be recovered. The MCP accepts time-based filters, but you should verify the chatflow ID and date range before executing. Consider exporting message history first if you need an audit trail. Rate limits may apply for workspaces with high message volume.

When Flowiseai wins for iterating conversational flows

A 5-person product team building customer onboarding chatbots needs to test variants without breaking production. Flowiseai's clone and export tools let you snapshot a working chatflow, spin up a test version, and roll back if the new prompt logic fails. The 14-tool API covers the full lifecycle—create, clone, delete—so you can script version branches in your CI pipeline. This works best when your team already uses Flowiseai as the chatbot builder; if you're on Botpress or Voiceflow, the MCP won't help. The threshold: if you're managing more than 3 active chatflow variants, the API_KEY auth and programmatic cloning pay off. For teams running a single production bot, the Flowiseai UI is faster than wiring up this MCP.

When this MCP solves stale conversation sprawl

A 12-person support org runs Flowiseai chatbots across 4 product lines, and chat history piles up—old test messages, customer PII that should expire, and abandoned sessions. The delete chat messages tool lets you bulk-clear logs by chatflow ID, which matters for GDPR or SOC2 audits. You can script a weekly job that purges messages older than 90 days, keeping your Flowiseai workspace under storage limits. This scenario assumes you're already logging conversations in Flowiseai; if you route chat through Intercom or Zendesk, those platforms handle retention natively. The buying call: if you have more than 2 chatflows generating over 500 messages a month, automating cleanup through this MCP beats manual UI deletion.

When Flowiseai export tools speed up client delivery

A 3-person agency builds custom chatbots for SaaS clients, and each project ends with a handoff: export the chatflow config, document the setup, and migrate it to the client's Flowiseai account. The export chatflow tool dumps the full JSON, which you can version in Git or attach to a Notion runbook. The get all chatflows tool lets you audit what's live before the handoff call. This works when your agency uses Flowiseai as the build platform and clients want to self-host the bot post-launch. If clients are on a different stack, the export is useless. The threshold: if you deliver more than 2 chatbot projects a quarter, scripting the export through this MCP saves 30 minutes per handoff compared to manual UI clicks.