FlowiseAI MCP Server for ClineGive Cline instant access to 12 tools to Execute Chatflow Prediction, Get Chatflow Details, Get Server Version, and more
Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire FlowiseAI through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.
Ask AI about this App Connector for Cline
The FlowiseAI app connector for Cline is a standout in the Friends Mcp category — giving your AI agent 12 tools to work with, ready to go from day one.
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Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install FlowiseAI and 3,400+ MCP Servers from a single visual interface.
{
"mcpServers": {
"flowiseai": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About FlowiseAI MCP Server
Connect your FlowiseAI (self-hosted) instance to any AI agent and take full control of your LLM orchestration and RAG workflows through natural conversation.
Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including FlowiseAI tool calls without waiting for prompts between steps. Connect 12 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.
What you can do
- Prediction Orchestration — Trigger specific chatflows and retrieve LLM-generated responses programmatically using natural language inputs
- Chatflow Management — List all orchestration flows and retrieve detailed technical structures and metadata to monitor your AI agents
- Vector Intelligence — Programmatically upsert documents or raw data into the vector stores linked to your chatflows to ensure high-fidelity context
- Component Oversight — Access server-wide credentials, custom tools, and global variables to manage your complete Flowise ecosystem
- Operational Visibility — Monitor user feedback, leads, and assistant profiles directly through your agent for instant reporting
The FlowiseAI MCP Server exposes 12 tools through the Vinkius. Connect it to Cline in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 FlowiseAI tools available for Cline
When Cline connects to FlowiseAI through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-workflows, rag-pipelines, chatbot-development, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Trigger an LLM flow prediction
Get details for a specific chatflow
Get Flowise server version
List OpenAI-style assistants
List user feedback for a chatflow
List all LLM orchestration flows
List custom tools
List captured leads
List global variables
List configured credentials
List chatflow templates
Push data into a vector store
Connect FlowiseAI to Cline via MCP
Follow these steps to wire FlowiseAI into Cline. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Open Cline MCP Settings
Add remote server
Enable the server
Start using FlowiseAI
Why Use Cline with the FlowiseAI MCP Server
Cline provides unique advantages when paired with FlowiseAI through the Model Context Protocol.
Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing
FlowiseAI + Cline Use Cases
Practical scenarios where Cline combined with the FlowiseAI MCP Server delivers measurable value.
Autonomous feature building: tell Cline to fetch data from FlowiseAI and scaffold a complete module with types, handlers, and tests
Codebase refactoring: use FlowiseAI tools to validate live data while Cline restructures your code to match updated schemas
Automated testing: Cline fetches real responses from FlowiseAI and generates snapshot tests or mocks based on actual payloads
Incident response: query FlowiseAI for real-time status and let Cline generate hotfix patches based on the findings
Example Prompts for FlowiseAI in Cline
Ready-to-use prompts you can give your Cline agent to start working with FlowiseAI immediately.
"List all my chatflows in Flowise."
"Execute chatflow 'cf_1' with question: 'How do I reset my password?'"
"Upsert this data into vector store for chatflow 'cf_2': [data]"
Troubleshooting FlowiseAI MCP Server with Cline
Common issues when connecting FlowiseAI to Cline through the Vinkius, and how to resolve them.
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FlowiseAI + Cline FAQ
Common questions about integrating FlowiseAI MCP Server with Cline.