Cursor Cloud Agent MCP, Ready to Go
Use Cursor Cloud Agent with Claude or Cursor to manage autonomous coding tasks and track token costs for your cloud agents.
No credit card required. Experience the power of this integration risk-free.
Manage autonomous coding tasks and repository updates from your chat.
Works with every AI agent you already use
…and any MCP-compatible client
How fast is the Cursor Cloud Agent MCP Server?
Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this MCP on Vinkius Cloud, and connect it to your AI agent in seconds.
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What AI agents can do with Cursor Cloud Agent: 12 Tools for Cloud Coding
Create, monitor, and manage autonomous cloud agents directly from your AI client.
Unarchive agent
Restore an archived Cursor cloud agent to your active list. This is useful for bringing back old configurations.
Archive agent
Move a Cursor cloud agent to an archived state to keep your active list clean. This is a soft delete operation.
Cancel run
Stop a running Cursor cloud agent task immediately. Use this if a run is taking too long or is no longer needed.
Create agent
Set up a new Cursor cloud agent with a prompt, model choice, and repository links. It returns the initial run object.
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.
Get agent
View the full configuration and status of a specific agent. Use this to check your current agent settings.
Get agent usage
Check the token usage statistics for a specific agent or run. This helps you monitor costs in real time.
Get me
Identify the authenticated user and verify your API key. This confirms your account is correctly linked.
Get run
See the detailed status and output of a specific agent run. It shows the git branch and completion status.
List agents
See all your agents with pagination and filters. You can also filter by PR URL or include archived agents.
List artifacts
See all the files an agent created or modified during its runs. This is perfect for auditing changes.
List runs
View a summary of all runs for a specific agent. Use this to see a history of completed and active tasks.
One MCP enables access. Vinkius turns MCPs into production-ready infrastructure.
You're looking at one of 5,800+ managed MCPs. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.
No Shadow AI
Every agent action is visible, approved, and auditable. Nothing runs outside your governance.
Absolute agent control
Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.
Cost control per token
Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.
Managed & monitored infra
We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.
Data protection, DLP by design
Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.
Token optimization, real savings
Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.
Cursor Cloud Agent for Automated Code Refactoring
For the lead engineer who needs to delegate repetitive refactors or the DevOps pro managing large-scale PRs across dozens of repositories.
Engineering Manager
Oversees agent output and token costs across the team to optimize resources.
DevOps Engineer
Automates PR generation and repository updates for infrastructure across multiple projects.
Full-stack Developer
Delegates boring boilerplate tasks to the cloud to stay in a deep flow state.
Frequently Asked Questions
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 tool 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 tool 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 MCP servers for my agent runs? +
Yes. When creating a run with the create_run tool, you can pass an mcp_servers_json parameter containing a JSON array of MCP server configurations. This allows your cloud agent to access external tools and resources during the run, extending its capabilities beyond the default set of tools.
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 tool helps you monitor token consumption to stay within your plan's limits.
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