Wireflow AI
About
You're agent can Chain 60+ AI image and video models on one workflow canvas
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- Design, Knowledge Base, Other
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- Inspect workflows— Ask tolist_workflowsorget_workflowto view your workflows, their nodes, and accepted inputs.
- Build from templates— Uselist_templatesandclone_templateto browse and copy published workflows into your account as private drafts.
- Create workflows from prompts— Describe a workflow in plain language and havecreate_workflow_from_promptsave it as a draft.
- Edit video timelines— Useget_video_timelineandedit_video_timelineto inspect and modify video node cuts, withpreview_video_framesfor free stills.
- Run and monitor executions— Triggerrun_workflowto start a run andget_executionto poll status and output URLs.
- Manage automations— List, schedule, pause, or delete recurring runs vialist_automations,create_automation,update_automation, anddelete_automation.
Wireflow speaks the Model Context Protocol. Connect Claude or any MCP client and let it build, inspect, and run your AI workflows on your behalf, with explicit consent and per-scope permissions.
Add a custom connector in your MCP client and point it at the Streamable HTTP endpoint below. The client walks you through Wireflow’s OAuth sign-in and a consent screen, no manual API keys, no client setup.
- OAuth 2.1 authorization code flow with PKCE (S256).
- Dynamic Client Registration (RFC 7591), so clients self-register with no pre-shared credentials.
- You approve a consent screen listing exactly the permissions the client asked for. Revoke anytime from settings.
A client that asks for nothing in particular gets the read and run scopes. Anything marked opt-in is withheld unless the client names it in its OAuth scope parameter, so no existing connection silently gains it.
Only run_workflow spends credits. The three write tools save private drafts and never run anything, so building a workflow costs nothing until you ask for a run.
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