CHATFLY Connector for AI agents.
8 live capabilities
Manage chatbot training and knowledge bases directly from your chat interface.
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Why people use CHATFLY
CHATFLY for Chatbot Knowledge Management
This Connector puts those controls in your hands. You can ask your agent to list your documents, trigger a training run, or pull a conversation history instantly. You get a direct line to your bot's brain without the clicks.
What Vinkius changes
You get a direct command line to your ChatFly account from your 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
Testing a new FAQ
A content strategist asks the agent to send a message to a bot to see if it knows the new return policy.
- Real-world use case 02
Audit a failing bot
A support manager pulls the conversation history for a specific bot to see where a user got stuck.
- Real-world use case 03
Bulk training
A product owner tells the agent to trigger training for three different bots after uploading a new manual.
Complete set · 8capabilities
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 8 available through CHATFLY.
- 01 Capability
List chatfly bots
Get a full list of every bot in your account. Use this to quickly see what's currently live.
- 02 Capability
List fly conversations
See a list of your most recent chat sessions. This helps you jump into specific dialogues for review.
- 03 Capability
Trigger bot training
Start the process of teaching your bot new information. You can do this instantly without opening a browser.
- 04 Capability
List uploaded documents
See every file you've added to your knowledge base. This helps you verify what data the bot actually has access to.
05—08
4 capabilities in this set.
Part of 8 available through CHATFLY.
- 05 Capability
Get chatbot details
Pull specific stats and settings for any individual bot. Use this to check if a bot is active or ready for traffic.
- 06 Capability
Get conversation history
Read through the messages between your bots and users. It's the fastest way to audit performance and spot issues.
- 07 Capability
Get chatfly account info
Check your remaining usage and core account details. This keeps you from hitting limits unexpectedly.
- 08 Capability
Send bot message
Send a manual prompt to a bot and get a live response. It's perfect for quick testing of new knowledge.
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_g5Jpcnhe3wKDzdOk7FPTVWgbtYJ0bn7BpbvqugJz/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_g5Jpcnhe3wKDzdOk7FPTVWgbtYJ0bn7BpbvqugJz/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": {
"url": "https://edge.vinkius.com/vk_preview_g5Jpcnhe3wKDzdOk7FPTVWgbtYJ0bn7BpbvqugJz/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...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"chatfly": {
"url": "https://edge.vinkius.com/vk_preview_g5Jpcnhe3wKDzdOk7FPTVWgbtYJ0bn7BpbvqugJz/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...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"chatfly": {
"url": "https://edge.vinkius.com/vk_preview_g5Jpcnhe3wKDzdOk7FPTVWgbtYJ0bn7BpbvqugJz/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...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"chatfly": {
"url": "https://edge.vinkius.com/vk_preview_g5Jpcnhe3wKDzdOk7FPTVWgbtYJ0bn7BpbvqugJz/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...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add chatfly --transport http "https://edge.vinkius.com/vk_preview_g5Jpcnhe3wKDzdOk7FPTVWgbtYJ0bn7BpbvqugJz/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...". 8 tools are ready
Where the request belongs
Work CHATFLY can move forward.
This is for the support lead who needs to know why a bot is hallucinating, or the content person who's tired of manual data uploads.
Support Manager
Reviews customer interactions and checks bot accuracy daily to ensure high service quality.
Content Strategist
Manages knowledge base files and triggers retraining cycles to keep information current.
Product Manager
Tests bot responses and monitors usage quotas to keep the project on track.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsBot9
Manage your AI agents via Bot9. orchestrate bots, train them, and automate conversations directly from any AI agent.
Botsonic
Train custom AI chatbots on your own data to deliver instant, accurate support that learns from your knowledge base.
SmartChatAI
Manage AI bots, knowledge bases, and messaging on SmartChatAI with AI agents.
GPTBots
Manage your conversational AI agents, workflows, and knowledge bases via AI.
BotGenuity
Create and manage AI chatbots with custom knowledge bases that answer customer questions accurately around the clock.
Chaindesk
Build no-code AI agents trained on your own data that handle customer support, lead qualification, and FAQ resolution.
Bring your own AI
Change the model, client or framework. Keep CHATFLY connected.
-
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.
How does the CHATFLY MCP help my support team?
It lets your team manage and audit your bots through a natural chat interface. You can pull conversation logs, check bot status, and test responses without leaving your workspace.
Can I use CHATFLY MCP to train my bots on new files?
Yes. You can tell your agent to trigger the training process for any of your bots. This ensures your knowledge base stays updated as your business data changes.
Does the CHATFLY MCP let me see my usage limits?
It does. You can ask your agent to retrieve your core account info, which includes your current usage quotas and limits so you don't run out of credits unexpectedly.
Can I test bot responses before I go live?
Absolutely. You can send a message to any of your bots through your agent and see the response immediately. This is a great way to verify that your training worked.
How do I connect CHATFLY to my AI agent?
Just grab your API key from the CHATFLY dashboard and paste it into your Connector settings. From there, your agent can access all your bot management capabilities.
Can I train my bot on a new PDF file through the agent?
You can trigger the training process using the trigger_bot_training capability once you have added files via the ChatFly dashboard. Future updates will support direct file uploads.
How do I see the history of a specific conversation?
Use the get_conversation_history capability with the unique conversation ID. Your agent will fetch the full transcript of messages between the user and the bot.
Where do I find my ChatFly API Key?
Log in to your ChatFly dashboard and navigate to the 'API' or 'Integrations' section. You can generate and copy your API key from there.
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