Can I train my bot on a new PDF file through the agent?

You can trigger the training process using the `trigger_bot_training` tool 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` tool 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.

CHATFLY MCP Server for Cursor 8 tools — connect in under 2 minutes

Name: CHATFLY
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 8 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

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.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "chatfly": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Cursor's Agent mode turns CHATFLY into an in-editor superpower. Ask Cursor to generate code using live data from CHATFLY and it fetches, processes, and writes. all in a single agentic loop. 8 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

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 Cursor 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 Cursor via MCP

Follow these steps to integrate the CHATFLY MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using CHATFLY

Open Agent mode in chat and ask: "Using CHATFLY, help me...". 8 tools available

Why Use Cursor with the CHATFLY MCP Server

Cursor AI Code Editor provides unique advantages when paired with CHATFLY through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

CHATFLY + Cursor Use Cases

Practical scenarios where Cursor combined with the CHATFLY MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

CHATFLY MCP Tools for Cursor (8)

These 8 tools become available when you connect CHATFLY to Cursor 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 Cursor

Ready-to-use prompts you can give your Cursor 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 Cursor

Common issues when connecting CHATFLY to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

CHATFLY + Cursor FAQ

Common questions about integrating CHATFLY MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.