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ContentGroove MCP Server for Cursor 8 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.

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Classic Setup·json
{
  "mcpServers": {
    "contentgroove": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
ContentGroove
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 ContentGroove MCP Server

Integrate ContentGroove, an intelligent video processing engine, directly into your conversational workflow. Automate the process of finding the best highlights from massive podcasts. Use conversational text to command your AI to slice, transcribe, and pull highly engaging snippets from long-form videos.

Cursor's Agent mode turns ContentGroove into an in-editor superpower. Ask Cursor to generate code using live data from ContentGroove and it fetches, processes, and writes. all in a single agentic loop. 8 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

  • Project Management — Instruct your AI to list tracked video projects to verify rendering status.
  • Automated Video Splicing — Request the bot to target a large video, locate engaging discussions, and divide them into independent bite-sized clips natively.
  • Metadata Extraction — Extract logically synced auto-transcribed subtitles alongside newly generated assets directly into your chat workspace.

The ContentGroove MCP Server exposes 8 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 ContentGroove to Cursor via MCP

Follow these steps to integrate the ContentGroove 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 ContentGroove

Open Agent mode in chat and ask: "Using ContentGroove, help me...". 8 tools available

Why Use Cursor with the ContentGroove MCP Server

Cursor AI Code Editor provides unique advantages when paired with ContentGroove 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

ContentGroove + Cursor Use Cases

Practical scenarios where Cursor combined with the ContentGroove 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

ContentGroove MCP Tools for Cursor (8)

These 8 tools become available when you connect ContentGroove to Cursor via MCP:

01

create_direct_upload

Generate a signed URL for direct video upload

02

create_media_from_url

Import a video from a URL to generate AI highlights

03

get_clip_details

Get details of a specific highlight clip

04

get_media_clips

List all clips for a specific video

05

get_media_details

Get details of a specific media project

06

get_media_status

Check processing status of a media

07

list_all_clips

List all AI-generated clips

08

list_media

List all media projects in ContentGroove

Example Prompts for ContentGroove in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with ContentGroove immediately.

01

"Extract the 5 most engaging viral slices from project 'vid9x3a' for a social media campaign."

02

"Check the status of my latest video project render queue."

03

"List all recent AI-generated clips across my account."

Troubleshooting ContentGroove MCP Server with Cursor

Common issues when connecting ContentGroove 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.

ContentGroove + Cursor FAQ

Common questions about integrating ContentGroove 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 ContentGroove to Cursor

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.