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Vinkius

Hive AI MCP Server for Cursor 10 tools — connect in under 2 minutes

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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.

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.

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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.

Cursor's Agent mode turns Hive AI into an in-editor superpower. Ask Cursor to generate code using live data from Hive AI and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

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 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 Hive AI to Cursor via MCP

Follow these steps to integrate the Hive AI MCP Server with Cursor.

01

Open MCP Settings

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

02

Add the server config

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

03

Save the file

Cursor will automatically detect the new MCP server

04

Start using Hive AI

Open Agent mode in chat and ask: "Using Hive AI, help me...". 10 tools available

Why Use Cursor with the Hive AI MCP Server

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

01

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

02

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

03

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

04

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

Hive AI + Cursor Use Cases

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

01

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

02

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

03

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

04

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

Hive AI MCP Tools for Cursor (10)

These 10 tools become available when you connect Hive AI to Cursor 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 Cursor

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

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

01

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.
02

Server shows as disconnected

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

Hive AI + Cursor FAQ

Common questions about integrating Hive AI MCP Server with Cursor.

01

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.
02

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.
03

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.
04

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.

Connect Hive AI to Cursor

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