Flow XO MCP Server for Windsurf 12 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Flow XO through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
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Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Flow XO and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"flow-xo": {
"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 Flow XO MCP Server
Connect your Flow XO account to any AI agent and automate your chatbot interactions and messaging workflows through the Model Context Protocol (MCP). Flow XO is a versatile platform for building and managing chatbots across various channels like Slack, Telegram, and the web. Now, you can manage your automation flows, oversee chatbot users, and trigger webhook-based workflows directly through natural conversation.
Windsurf's Cascade agent chains multiple Flow XO tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 12 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Workflow Management — List all your chatbot flows and toggle their active status (enable/disable) instantly.
- User Oversight — Access your end-user database, fetch detailed profiles, and create or update user records.
- Direct Messaging — Send push messages directly to users via their unique response paths from your chat interface.
- Webhook Triggers — Push data payloads to Flow XO webhook trigger URLs to start automated sequences remotely.
- Interaction History — Retrieve the message history for specific users to understand past bot engagements.
- Platform Connectivity — List all connected bot accounts and platforms (Slack, Messenger, etc.) for better integration context.
- Automation Analytics — Fetch high-level usage summaries and performance metrics for your chatbot environment.
The Flow XO MCP Server exposes 12 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Flow XO to Windsurf via MCP
Follow these steps to integrate the Flow XO MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Flow XO
Open Cascade and ask: "Using Flow XO, help me...". 12 tools available
Why Use Windsurf with the Flow XO MCP Server
Windsurf provides unique advantages when paired with Flow XO through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 12 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Flow XO + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Flow XO MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Flow XO and generate models, types, or handlers based on real API responses
Live debugging: query Flow XO tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Flow XO and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Flow XO data with Cascade's code generation to scaffold entire features in minutes
Flow XO MCP Tools for Windsurf (12)
These 12 tools become available when you connect Flow XO to Windsurf via MCP:
create_user
Register a new user
get_automation_analytics
Get usage summary
get_user_details
Get user profile
list_bot_accounts
). List platform accounts
list_broadcasts
List sent broadcasts
list_chatbot_users
List all end users
list_user_history
List user messages
list_workflows
List automation flows
send_push_message
Send a push message
toggle_workflow
Enable/Disable a flow
trigger_webhook
Trigger flow via webhook
update_user
Update user metadata
Example Prompts for Flow XO in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Flow XO immediately.
"List all my Flow XO chatbot users."
"Disable the workflow 'Old Customer Survey'."
"Send a push message to path 'abc/123': 'Your order has been shipped!'."
Troubleshooting Flow XO MCP Server with Windsurf
Common issues when connecting Flow XO to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Flow XO + Windsurf FAQ
Common questions about integrating Flow XO MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Flow XO with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Flow XO to Windsurf
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.