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Gumlet MCP Server for VS Code CopilotGive VS Code Copilot instant access to 12 tools to Create Collection, Create Video Upload, Delete Video, 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

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The Gumlet app connector for VS Code Copilot is a standout in the Image Video category — giving your AI agent 12 tools to work with, ready to go from day one.

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Classic Setup·json
{
  "mcpServers": {
    "gumlet": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Gumlet
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High SecurityEnterprise-grade
IAMAccess control
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DLPData protection
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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 Gumlet MCP Server

Connect your Gumlet account to any AI agent and take full control of your video hosting and image optimization workflows through natural conversation.

GitHub Copilot Agent mode brings Gumlet data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 12 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Video Lifecycle — Manage the complete video lifecycle from creating new uploads and retrieving metadata to monitoring transcoding status
  • Media Organization — Create and manage collections/folders programmatically to maintain a structured media library
  • Visual Control — Automate thumbnail updates by selecting specific video frames or time offsets for perfect visual representation
  • Optimization Insights — Monitor real-time video analytics, viewing metrics, and bandwidth usage for every asset in your account
  • Image Source Management — List and manage image optimization sources and organization users to ensure high-fidelity delivery

The Gumlet MCP Server exposes 12 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 12 Gumlet tools available for VS Code Copilot

When VS Code Copilot connects to Gumlet through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-hosting, image-optimization, cdn-delivery, 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.

create_collection

Add new folder

create_video_upload

Upload new video

delete_video

Remove video asset

get_account_info

Get profile details

get_video_analytics

Check video stats

get_video_details

Check video status

list_image_sources

List image optimized sources

list_org_users

List team members

list_video_collections

List folders

list_videos

List video assets

list_webhooks

Get active webhooks

update_video_thumbnail

Set thumbnail offset

Connect Gumlet to VS Code Copilot via MCP

Follow these steps to wire Gumlet 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 Gumlet

Ask Copilot: "Using Gumlet, help me...". 12 tools available

Why Use VS Code Copilot with the Gumlet MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Gumlet 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

Gumlet + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Gumlet 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 Gumlet in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Gumlet immediately.

01

"Create a new video upload in collection 'col_123' titled 'Annual Report 2026'."

02

"Check the transcoding status of video 'asset_987'."

03

"Show me the viewing stats for my latest product video."

Troubleshooting Gumlet MCP Server with VS Code Copilot

Common issues when connecting Gumlet 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.

Gumlet + VS Code Copilot FAQ

Common questions about integrating Gumlet 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.