2,500+ MCP servers ready to use
Vinkius

Hive AI MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 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.

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 Hive AI and 2,500+ MCP Servers from a single visual interface.

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "hive-ai": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Hive AI
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 Hive AI MCP Server

Connect your Hive AI moderation account to any AI agent and take full control of your content safety and compliance workflows through natural conversation.

GitHub Copilot Agent mode brings Hive AI data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Real-time Moderation — Perform synchronous moderation for text and images to filter hate speech, violence, and NSFW content instantly.
  • AI Content Detection — Identify if text, images, or audio were created using generative AI models like GPT-4, Midjourney, or DALL-E.
  • Asynchronous Processing — Submits large video and audio files for deep moderation and speech-to-text analysis.
  • Task Monitoring — Track the status and retrieve results for background moderation tasks using unique task IDs.
  • Model Insights — List available Hive AI models and retrieve project-specific configurations for both visual and text projects.
  • Compliance Oversight — Access detailed moderation scores and classes to ensure your platform remains safe and professional.

The Hive AI MCP Server exposes 10 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 Hive AI to VS Code Copilot via MCP

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

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 Hive AI

Ask Copilot: "Using Hive AI, help me..."10 tools available

Why Use VS Code Copilot with the Hive AI MCP Server

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

Hive AI + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Hive AI 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

Hive AI MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect Hive AI to VS Code Copilot via MCP:

01

detect_ai_generated_image

Identify if an image was created using generative AI (e.g., Midjourney, DALL-E)

02

detect_ai_generated_text

Detect if a block of text was generated by an AI model (e.g., GPT-4)

03

get_async_task_result

Retrieve the final moderation results for a completed task

04

get_async_task_status

Use the task ID returned when the task was created. Check the status of an asynchronous moderation task

05

get_project_details

Retrieve information and configuration for your Hive AI project

06

list_available_models

List all Hive AI models available for your project

07

moderate_audio_async

Returns a task ID. Start an asynchronous moderation task for an audio file

08

moderate_image

Provide a publicly accessible URL. Perform real-time image moderation using a URL

09

moderate_text

Use this to verify user-generated content before publication. Perform real-time text moderation for safety and compliance

10

moderate_video_async

Returns a task ID for later status checking. Start an asynchronous moderation task for a video file

Example Prompts for Hive AI in VS Code Copilot

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

01

"Moderate this text for safety: 'I will destroy everything you love.'"

02

"Check if this image was created by AI: 'https://example.com/art.jpg'."

03

"Start a moderation task for this video: 'https://example.com/upload.mp4'."

Troubleshooting Hive AI MCP Server with VS Code Copilot

Common issues when connecting Hive AI 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.

Hive AI + VS Code Copilot FAQ

Common questions about integrating Hive AI 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.

Connect Hive AI to VS Code Copilot

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.