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ChatFly MCP Server for VS Code CopilotGive VS Code Copilot instant access to 7 tools to Chat, Create Bot, Get Bot, and more

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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.

Use with Your AI Agent

Ask AI about this App Connector for VS Code Copilot

Open in ChatGPT Open in Claude Open in Perplexity

The ChatFly app connector for VS Code Copilot is a standout in the Customer Support category — giving your AI agent 7 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install ChatFly and 3,400+ MCP Servers from a single visual interface.

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Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "chatfly-alternative": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
ChatFly
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 orchestration and automated knowledge ingestion workflows through natural conversation.

GitHub Copilot Agent mode brings ChatFly data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 7 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Bot Orchestration — Create and manage multiple high-fidelity AI chatbot instances programmatically, including configuring welcome messages and internal metadata
  • Knowledge Ingestion — Programmatically train your bots by uploading website URLs and documents to coordinate an accurate, data-driven knowledge base
  • Real-Time Interaction — Send messages and retrieve AI responses from specific bots to test performance or integrate chat into custom business applications
  • Source Management — Access and monitor your complete directory of data sources (URLs, docs) to oversee the information feeding your digital assistants
  • Operational Monitoring — Track chatbot performance, session histories, and account-level status directly through your agent for instant reporting

The ChatFly MCP Server exposes 7 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.

All 7 ChatFly tools available for VS Code Copilot

When VS Code Copilot connects to ChatFly through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot-builder, conversational-ai, lead-qualification, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

chat

Interact with a chatbot

create_bot

Provide name and welcome message. Create a new chatbot

get_bot

Get details of a specific bot

list_bots

List all chatbots

list_data_sources

List data sources for a bot

update_bot

Update an existing bot

upload_data_source

Add a knowledge source to a bot

Connect ChatFly to VS Code Copilot via MCP

Follow these steps to wire ChatFly into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Create MCP config

Create a .vscode/mcp.json file in your project root
02

Add the server config

Paste the JSON configuration above
03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
04

Start using ChatFly

Ask Copilot: "Using ChatFly, help me...". 7 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.

01

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

02

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

03

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

04

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.

01

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

02

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

03

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

04

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

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.

01

"List all my available chatbots in ChatFly."

02

"Train 'bot_1' by ingesting 'https://vinkius.com/faq'."

03

"Ask 'bot_1': 'What are your support hours?'."

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.

01

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.

01

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.
02

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.
03

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.
04

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.