How to Use the ChatFly MCP in Windsurf
Build and test ChatFly customer support bots directly inside Windsurf. Cascade handles the heavy lifting.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ChatFly MCP to Windsurf
Create your Vinkius account to connect ChatFly to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Build ChatFly bots with Windsurf Cascade
Tell Cascade you need a lead qualification bot. It reads your project context, picks up your company name, and fires `create_bot` with a custom welcome message. You do not have to map out the steps manually. Once the bot exists, Cascade automatically runs `upload_data_source` to feed it your local documentation files. This MCP server handles the entire setup chain while you watch the logs.
Feed local context to your MCP Server
Your documentation changes constantly. When you rewrite a feature spec, Cascade can spot the diff and push those updates straight to ChatFly. It grabs the new text and updates the knowledge base instantly. You just ask the agent to sync the latest docs. It maps your local markdown files, checks `list_data_sources` to see what is missing, and uploads the rest. No manual copy-pasting required.
Test conversations before deployment
Testing chatbots usually means switching to a browser tab. Windsurf lets you run `chat` right from your editor panel. You type a customer query, and the agent pings the bot to see how it responds. If the bot gives a bad answer, Cascade notices. It can immediately run `update_bot` to tweak the system prompt or feed it better data. You fix issues exactly where you write your code.
Set up ChatFly MCP in Windsurf
Prerequisites
- Windsurf IDE installed (macOS, Windows, or Linux)
- Active Vinkius subscription with a valid endpoint token
- 1
Open MCP configuration
Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open
~/.codeium/windsurf/mcp_config.json. - 2
Add the ChatFly MCP
Paste the JSON snippet shown on the right into the
mcpServersobject. Replace[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. - 3
Refresh MCPs
Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
- 4
Verify in Cascade
Start a new Cascade conversation and ask something like "Show my ChatFly payment history." If connected, Cascade will call the ChatFly tools directly. You will see a green dot next to the server name in the MCP panel.
{
"mcpServers": {
"chatfly-alternative-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ChatFly. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about ChatFly MCP in Windsurf
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the ChatFly MCP today
We host it, we monitor it, we maintain it. You just paste one token.
