| name | flowise-ai |
| description | Flowise AI is a low-code platform for building AI agents and LLM-powered workflows with visual orchestration, integrations, and API deployment, allowing developers and teams to create, test, and manage conversational applications and automation pipelines more efficiently. Read and write Flowise AI data through One: documentstore, chatflows, assistants, tools, variables, chatmessages and more, 46 actions with real parameter documentation. Use whenever the user asks to look something up in Flowise AI, create or update a record there, or build code against the Flowise AI API. |
Flowise AI through One
Flowise AI is a low-code platform for building AI agents and LLM-powered workflows with visual orchestration, integrations, and API deployment, allowing developers and teams to create, test, and manage conversational applications and automation pipelines more efficiently.
One exposes Flowise AI through four MCP tools. The table below carries real action ids from One's knowledge base, so for a common operation you can skip search and go straight to reading the action's parameters.
How to run an action
- Find the action in the table below, or call
search_one_platform_actions with platform flowise-ai if it is not listed.
- Call
get_one_action_knowledge with the action id. Do this every time, including for actions in this table. The table gives you the id, not the parameters.
- Call
execute_one_action with parameters copied from that knowledge.
Never guess a parameter name, a body field, or an enum value. The knowledge has the real schema, and a guessed field is either a 400 or a silent write of the wrong thing.
Before you start
Call list_one_integrations once and confirm Flowise AI is connected. If it is missing, the user has not connected it: say so and point them at https://app.withone.ai rather than reaching for raw HTTP.
Each connection carries an field. If it reports the agent is read-only here, so plan a read-only answer instead of attempting a write that will be refused.
