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Vinkius

Cursor Cloud Agent Connector for AI agents.

12 live capabilities

Manage autonomous coding tasks and repository updates from your chat.

Live agent request Cursor Cloud Agent / Connector

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AI Agent

Why people use Cursor Cloud Agent

Cursor Cloud Agent for Automated Code Refactoring

This Connector changes that by letting you spin up agents to handle the grunt work. You give a prompt, and the agent does the heavy lifting in the cloud while you move on to the next task. You get your time back.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a command center for cloud-based autonomous coding.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Automating library updates across multiple repos

    A developer needs to update a core library in 20 different repositories.

  2. Real-world use case 02

    Auditing results of a bug fix

    An engineer wants to see exactly what a cloud agent changed during a bug fix.

  3. Real-world use case 03

    Monitoring team token spend

    A platform lead needs to see the cost of autonomous coding tasks.

Complete set · 12capabilities

The complete Cursor Cloud Agent capability set.

These are the exact actions your AI can choose when you ask it to work with Cursor Cloud Agent.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 12 available through Cursor Cloud Agent.

  1. 01 Capability

    Archive agent

    Move a Cursor cloud agent to an archived state to keep your active list clean. This is a soft delete operation.

  2. 02 Capability

    Cancel run

    Stop a running Cursor cloud agent task immediately. Use this if a run is taking too long or is no longer needed.

  3. 03 Capability

    Create agent

    Set up a new Cursor cloud agent with a prompt, model choice, and repository links. It returns the initial run object.

  4. 04 Capability

    Create run

    Start a new task for an existing Cursor cloud agent with a custom prompt. You can also override the mode or add images.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 12 available through Cursor Cloud Agent.

  1. 05 Capability

    Get agent

    View the full configuration and status of a specific agent. Use this to check your current agent settings.

  2. 06 Capability

    Get agent usage

    Check the token usage statistics for a specific agent or run. This helps you monitor costs in real time.

  3. 07 Capability

    Get me

    Identify the authenticated user and verify your API key. This confirms your account is correctly linked.

  4. 08 Capability

    Get run

    See the detailed status and output of a specific agent run. It shows the git branch and completion status.

Capability set03 / 03

09—12

4 capabilities in this set.

Part of 12 available through Cursor Cloud Agent.

  1. 09 Capability

    List artifacts

    See all the files an agent created or modified during its runs. This is perfect for auditing changes.

  2. 10 Capability

    List runs

    View a summary of all runs for a specific agent. Use this to see a history of completed and active tasks.

  3. 11 Capability

    Unarchive agent

    Restore an archived Cursor cloud agent to your active list. This is useful for bringing back old configurations.

  4. 12 Capability

    List agents

    See all your agents with pagination and filters. You can also filter by PR URL or include archived agents.

Set up in minutes

One URL. Then ask Cursor Cloud Agent to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Cursor Cloud Agent from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_WJUsxIeBdLTUmOiGm9g0ZUKYn9WLxdIjkfcta731/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Cursor Cloud Agent, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Cursor Cloud Agent for the conversation.

Where the request belongs

Work Cursor Cloud Agent can move forward.

Built around the request

For the lead engineer who needs to delegate repetitive refactors or the DevOps pro managing large-scale PRs across dozens of repositories.

01

Engineering Manager

Oversees agent output and token costs across the team to optimize resources.

02

DevOps Engineer

Automates PR generation and repository updates for infrastructure across multiple projects.

03

Full-stack Developer

Delegates boring boilerplate tasks to the cloud to stay in a deep flow state.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

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02 84 capabilities

Coder (Remote Dev)

Manage Coder remote development environments, monitor deployment stats, and interact with AI Bridge sessions directly from your AI agent.

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03 10 capabilities

AutoGen

Orchestrate Microsoft AutoGen multi-agent workflows. manage sessions, agent roles, workflows, and monitor execution logs from any AI agent.

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04 10 capabilities

Lindy (Autonomous AI Employees)

Manage autonomous AI employees via Lindy. trigger task runs, monitor reasoning logs, and audit app integrations.

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05 7 capabilities

Flowise

Manage low-code AI workflows via Flowise. run predictions, track chatflows and agentflows, handle capabilities, and audit execution history directly from any AI agent.

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Cursor Analytics logo
06 12 capabilities

Cursor Analytics

Track team AI coding metrics from Cursor. agent edit acceptance rates, tab autocomplete stats, daily active users, model usage, MCP/command/plan/skill adoption, and team leaderboards from any AI agent.

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Bring your own AI

Change the model, client or framework. Keep Cursor Cloud Agent connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
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  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
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  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Cursor Cloud Agent.

The practical details behind the request, access and result.

How do I get my Cursor API key?

Go to the Cursor Dashboard → API Keys section to create or manage your API key. The key starts with crsr_ and can be either a user API key or a service account API key. Copy it and paste it into the API key field in the setup wizard. The key is sent as a Bearer token in the Authorization header for all API requests.

What are Cursor cloud agents?

Cloud agents are autonomous coding agents that run in Cursor's managed environment. You give them a prompt describing what you want (e.g. 'Add a README file to this repo'), connect one or more repositories, and the agent works autonomously. reading code, making changes, and optionally creating pull requests. You can track run status, view results, and manage the agent lifecycle through the API.

Can cloud agents automatically create pull requests?

Yes! When creating an agent, set the autoCreatePR flag to true and the agent will automatically create a pull request when it finishes its work. You can also filter agents by PR URL using the pr_url parameter in the list_agents capability to find agents associated with a specific PR.

Which models are supported by cloud agents?

Cursor cloud agents support multiple AI models including gpt-4.1, claude-sonnet-4-20250514, and gemini-2.5-pro. You can specify the model when creating an agent using the model_id parameter. If no model is specified, Cursor uses its default model. The model determines which AI processes your agent's prompts and generates code changes.

How do I track the status of a run?

Use the get_run capability with the agent ID and run ID to get the full status including the current state (running, completed, cancelled), duration in milliseconds, the result output, and git branch information. You can also use list_runs to see all runs for an agent. To stop a long-running run, use cancel_run. this is a terminal operation that cannot be undone.

Can I configure Connectors for my agent runs?

Yes. When creating a run with the create_run capability, you can pass an mcp_servers_json parameter containing a JSON array of Connector configurations. This allows your cloud agent to access external capabilities and resources during the run, extending its capabilities beyond the default set of capabilities.

Are there rate limits on the Cloud Agents API?

Yes, the Cursor Cloud Agents API enforces standard rate limiting. If you exceed the rate limit, the API returns an error and the engine surfaces the error message. For high-volume usage, consider spacing out requests and using pagination (limit and cursor parameters) when listing agents and runs. The get_agent_usage capability helps you monitor token consumption to stay within your plan's limits.

Can I configure MCP servers for my agent runs?

Yes. When creating a run with the create_run capability, you can pass an mcp_servers_json parameter containing a JSON array of MCP server configurations. This allows your cloud agent to access external capabilities and resources during the run, extending its capabilities beyond the default set of capabilities.

One connection away

Give your agent a direct line to Cursor Cloud Agent.

Connect Cursor Cloud Agent once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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