CHATFLY MCP Server for Windsurf 8 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect CHATFLY through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install CHATFLY and 2,500+ MCP Servers from a single visual interface.




{
"mcpServers": {
"chatfly": {
"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 CHATFLY MCP Server
Connect your CHATFLY account to any AI agent and take full control of your custom chatbot workflows through natural conversation. Train and monitor your own AI agents using your business data.
Windsurf's Cascade agent chains multiple CHATFLY tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 8 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Chatbot Oversight — List and retrieve details for all custom AI chatbots in your account natively
- Knowledge Logistics — List all uploaded documents and data sources used for bot training flawlessly
- Training Automation — Trigger the training process for your chatbots to ingest new data securely
- Conversation Intelligence — Access recent chat conversations and full message history flawlessly
- Live Messaging — Send messages to your chatbots and receive AI-generated responses in real-time
- System Monitoring — Retrieve core account information and monitor your AI usage quotas directly within your workspace
The CHATFLY MCP Server exposes 8 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 CHATFLY to Windsurf via MCP
Follow these steps to integrate the CHATFLY 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 CHATFLY
Open Cascade and ask: "Using CHATFLY, help me...". 8 tools available
Why Use Windsurf with the CHATFLY MCP Server
Windsurf provides unique advantages when paired with CHATFLY 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 8 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
CHATFLY + Windsurf Use Cases
Practical scenarios where Windsurf combined with the CHATFLY MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from CHATFLY and generate models, types, or handlers based on real API responses
Live debugging: query CHATFLY tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from CHATFLY and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine CHATFLY data with Cascade's code generation to scaffold entire features in minutes
CHATFLY MCP Tools for Windsurf (8)
These 8 tools become available when you connect CHATFLY to Windsurf via MCP:
get_chatbot_details
Get detailed information for a specific chatbot
get_chatfly_account_info
Retrieve core account and quota information
get_conversation_history
Retrieve the message history for a specific conversation
list_chatfly_bots
List all AI chatbots in your account
list_fly_conversations
List recent chat conversations
list_uploaded_documents
List all files uploaded to the knowledge base
send_bot_message
Send a message to a chatbot and receive a response
trigger_bot_training
Trigger the training process for a chatbot
Example Prompts for CHATFLY in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with CHATFLY immediately.
"List all my active chatbots in CHATFLY."
"Show me the last 5 conversations for bot 'Support Assistant'."
"Send a test message to bot ID 123: 'How do I reset my password?'"
Troubleshooting CHATFLY MCP Server with Windsurf
Common issues when connecting CHATFLY to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
CHATFLY + Windsurf FAQ
Common questions about integrating CHATFLY 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 CHATFLY 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.
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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 CHATFLY to Windsurf
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
