What can you do with the Flowise integration?

LiveContext exposes 45 operations on Flowise, covering assistant, chatflow, store and tool.

Flowise integration

Flowise builds LLM apps and agent flows visually. Run a chatflow or agentflow prediction, read and write chatflows, assistants, tools and variables, manage document stores with their loaders and chunks, upsert vectors and read the upsert history, read chat messages and feedback, capture leads, and handle attachments and file uploads. The host is part of the credential because every install is its own deployment. Authentication is an API key sent as a bearer token.

45 toolsTokenAPI docs

Connect Flowise How integrations work

What you can do with Flowise

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Assistant, 5 operations

POSTcreate_assistant
Create a new assistant.
DELETEdelete_assistant
Delete an assistant.
GETget_assistant
Get assistant by ID.
GETlist_assistants
List all assistants.
PUTupdate_assistant
Update assistant details.

Chatflow, 5 operations

POSTcreate_chatflow
Create a new chatflow.
DELETEdelete_chatflow
Delete a chatflow.
GETget_chatflow
Get chatflow by ID.
GETlist_chatflows
List all chatflows.
PUTupdate_chatflow
Update chatflow details.

Store, 5 operations

POSTcreate_document_store
Create a new document store.
DELETEdelete_store
Delete a specific document store.
GETget_store
Get a specific document store.
GETlist_store
List all document stores.
PUTupdate_document_store
Update a specific document store.

Tool, 5 operations

POSTcreate_tool
Create a new tool.
DELETEdelete_tool
Delete a tool by ID.
GETget_tool
Get a tool by ID.
GETlist_tools
List all tools.
PUTupdate_tool
Update a tool by ID.

Variable, 4 operations

POSTcreate_variable
Create a new variable.
DELETEdelete_variable
Delete a variable by ID.
GETlist_variables
List all variables.
PUTupdate_variable
Update a variable by ID.

Chunk, 3 operations

DELETEdelete_chunk
Delete a specific chunk from a document loader.
PUTedit_document_store_file_chunk
Update a specific chunk.
GETget_chunk
Get chunks from a specific document loader.

Feedback, 3 operations

POSTcreate_feedback
Create new chat message feedback.
GETget_feedback
List all chat message feedbacks for a chatflow.
PUTupdate_feedback
Update chat message feedback.

Chatmessage, 2 operations

GETget_chatmessage
List all chat messages.
DELETEremove_all_chat_messages
Delete all chat messages.

Lead, 2 operations

POSTcreate_lead
Create a new lead in a chatflow.
GETget_lead
Get all leads for a specific chatflow.

Upsert, 2 operations

POSTupsert_document
Upsert document to document store.
POSTvector_upsert
Upsert vector embeddings.

Upsert history, 2 operations

GETget_upsert_history
Get all upsert history records.
PATCHupdate_upsert_history
Delete upsert history records.

Apikey, 1 operation

GETget_apikey
Get chatflow by API key.

Attachment, 1 operation

POSTcreate_attachment
Create attachments array.

Loader, 1 operation

DELETEdelete_loader
Delete specific document loader and associated chunks from document store.

Prediction, 1 operation

POSTcreate_prediction
Send message to flow and get AI response.

Query, 1 operation

POSTquery_vector_store
Retrieval query.

Refresh, 1 operation

POSTrefresh_document
Re-process and upsert all documents in document store.

Vectorstore, 1 operation

DELETEdelete_vectorstore
Delete data from vector store.

Use Flowise from Claude Code, Cursor or Codex

Connect Flowise in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Flowise operations become tools the client can call, next to every other integration you connected.

Claude Code

claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"

Codex (~/.codex/config.toml)

[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"

Cursor, Claude Desktop and other JSON configs

{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Flowise

Create your workspace
Sign up free. Nothing to install.
Connect Flowise once
Add your Flowise connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.
Describe the job in chat
The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.