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 VS Code Copilot 8 tools — connect in under 2 minutes

Name: CHATFLY
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 8 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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.

GitHub Copilot Agent mode brings CHATFLY data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 8 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the 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 VS Code Copilot 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 VS Code Copilot via MCP

Follow these steps to integrate the CHATFLY MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using CHATFLY

Ask Copilot: "Using CHATFLY, help me...". 8 tools available

Why Use VS Code Copilot with the CHATFLY MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with CHATFLY through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

CHATFLY + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the CHATFLY MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

CHATFLY MCP Tools for VS Code Copilot (8)

These 8 tools become available when you connect CHATFLY to VS Code Copilot 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 VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot

Common issues when connecting CHATFLY to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

CHATFLY + VS Code Copilot FAQ

Common questions about integrating CHATFLY MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.