ChatFly Connector for AI agents.
7 live capabilities
Deploy and train customer support chatbots with automated knowledge ingestion.
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Why people use ChatFly
ChatFly Chatbot Management for Customer Support Teams
This Connector changes that by letting you treat your bot like a team member. You just tell your agent to add a new URL or update a welcome message. It handles the connection to ChatFly, so you can focus on the strategy instead of the data entry.
What Vinkius changes
You get a way to manage your entire chatbot fleet through a single chat interface.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Overwhelmed by repetitive FAQ questions
A support team uses the Connector to ingest their entire help center into a bot that handles those queries automatically.
- Real-world use case 02
Testing multiple bots for different products
A developer uses create_bot to spin up 10 different instances and list_bots to keep track of them all.
- Real-world use case 03
Automating lead qualification
A business owner uses the chat capability to simulate customer conversations and ensure the bot books meetings correctly.
Complete set · 7capabilities
The complete ChatFly capability set.
These are the exact actions your AI can choose when you ask it to work with ChatFly.
01—04
4 capabilities in this set.
Part of 7 available through ChatFly.
- 01 Capability
Chat
Send a message to a bot and get a reply to test how it handles specific customer questions.
- 02 Capability
Create bot
Build a new chatbot by providing a name and a custom welcome message.
- 03 Capability
Get bot
Look up the specific details and current status of a single chatbot instance.
- 04 Capability
List bots
See every chatbot you have active in your account at once.
05—07
3 capabilities in this set.
Part of 7 available through ChatFly.
- 05 Capability
List data sources
View all the URLs and documents currently feeding a specific bot's knowledge.
- 06 Capability
Update bot
Change the name or welcome message of an existing chatbot to keep it current.
- 07 Capability
Upload data source
Add a new website link or file to a bot's knowledge base to train it on new info.
Set up in minutes
One URL. Then ask ChatFly to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use ChatFly from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_YeceOYq0Sj0dHYZqDFIY8IgiIyBo9f7LRr4xsK2v/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it ChatFly, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable ChatFly for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_YeceOYq0Sj0dHYZqDFIY8IgiIyBo9f7LRr4xsK2v/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the ChatFly URL.
- Step 03
Save and start
Save the connection and enable ChatFly in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"chatfly-alternative": {
"url": "https://edge.vinkius.com/vk_preview_YeceOYq0Sj0dHYZqDFIY8IgiIyBo9f7LRr4xsK2v/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using ChatFly
Open Agent mode in chat and ask: "Using ChatFly, help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"chatfly-alternative": {
"url": "https://edge.vinkius.com/vk_preview_YeceOYq0Sj0dHYZqDFIY8IgiIyBo9f7LRr4xsK2v/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using ChatFly
Ask Copilot: "Using ChatFly, help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"chatfly-alternative": {
"url": "https://edge.vinkius.com/vk_preview_YeceOYq0Sj0dHYZqDFIY8IgiIyBo9f7LRr4xsK2v/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using ChatFly
Open Cascade and ask: "Using ChatFly, help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"chatfly-alternative": {
"url": "https://edge.vinkius.com/vk_preview_YeceOYq0Sj0dHYZqDFIY8IgiIyBo9f7LRr4xsK2v/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using ChatFly
Ask Cline: "Using ChatFly, help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add chatfly-alternative --transport http "https://edge.vinkius.com/vk_preview_YeceOYq0Sj0dHYZqDFIY8IgiIyBo9f7LRr4xsK2v/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using ChatFly
Ask Claude: "Using ChatFly, show me...". 7 tools are ready
Where the request belongs
Work ChatFly can move forward.
This is for the customer success manager who's tired of manually updating FAQ docs or the dev who needs to build and test multiple bots without a complex dashboard.
Customer Support Lead
Updates bot knowledge bases and checks chat logs to ensure accuracy.
AI Engineer
Deploys and tests multiple chatbot instances for different product lines.
Small Business Owner
Automates lead qualification and meeting booking without hiring a full-time team.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Create and manage AI chatbots with custom knowledge bases that answer customer questions accurately around the clock.
SmartChatAI
Manage AI bots, knowledge bases, and messaging on SmartChatAI with AI agents.
Ada
AI-powered customer service automation. manage conversations, end users, and knowledge via AI.
ChatBot.com
Manage conversational AI and bot workflows via ChatBot. track stories, interactions, and user data directly from any AI agent.
GPTBots
Manage your conversational AI agents, workflows, and knowledge bases via AI.
The Botforge
Deploy custom AI chatbots for enterprise customer support with multilingual capability and deep integration into your tech stack.
Bring your own AI
Change the model, client or framework. Keep ChatFly connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about ChatFly.
The practical details behind the request, access and result.
What is ChatFly MCP?
It connects your AI agent to your ChatFly account so you can manage, train, and test your chatbots using natural language.
How do I train my bot with my website?
You can tell your agent to add your website URLs as data sources, and it will handle the ingestion for you.
Can I manage multiple bots at once?
Yes, you can list all your bots and update their settings or welcome messages through your AI client.
Is there a way to test the bot before going live?
You can use the chat capability to send messages to a specific bot and see how it responds to real questions.
How do I see what information my bot knows?
You can ask your agent to list the data sources for any specific bot to see the URLs and docs it's using.
Can I change my bot's welcome message easily?
Yes, you can tell your agent to update a specific bot, and it will change the welcome message for you instantly.
How do I find my ChatFly API Key?
Log in to your account, navigate to Account Settings > API Keys, and generate a new key for your integration.
Can I train a bot on a specific URL?
Yes! Use the upload_data_source capability and provide the bot ID along with the website URL you want the bot to learn from.
How do I test a bot's response via AI?
Use the chat capability to send a message to a specific bot ID. Your agent will return the high-fidelity AI response generated by ChatFly.
One connection away
Give your agent a direct line to ChatFly.
Connect ChatFly once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available