ceven

Cursor

Syncs AI agent conversations and model usage into your developer portal, tracks cloud agent performance, and manages API access across your engineering team.

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Why use Ceven?

  1. AI native Cursor integration

    • Describe the outcome and Ceven picks the right Cursor calls, fills the parameters, and checks the result.
    • Structured, agent friendly tool schemas so each call runs reliably instead of by guesswork.
    • Rich coverage for reading, writing, and querying your Cursor data, across all 5 of its actions.

  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke Cursor access.
    • Per user and per environment credentials instead of shared keys.

  3. Agent optimized design

    • Actions are tuned from real success and error rates so reliability climbs over time.
    • Full execution logs so you always know what ran in Cursor, when, and on whose behalf.
    • The agent pauses and asks when Cursor is unclear instead of plowing ahead.

  4. Enterprise grade security

    • Fine grained access so you control which agents and people can reach Cursor.
    • Least privilege by default, read scopes first and only the writes a workflow needs.
    • A full audit trail of every Cursor action to support review and sign off.

Supported tools

Every action Ceven's agents can run on Cursor, and when to use it.

Get Agent Conversation
Use this to retrieve the full message history for a specific cloud agent to audit AI suggestions or recover lost context.
Get API Key Info
Pull details for a specific API key including the owner email and creation date to verify authentication sources.
List Agents
Pull a paginated list of all Cursor Cloud agents to check status or iterate through active bot deployments.
List Available Models
Retrieve the current list of AI models available in Cursor to ensure workflows use the most recent version.
List GitHub Repositories
Pull all GitHub repositories the authenticated user can access through their Cursor account for context mapping.
Audit Agent Usage
Analyze conversation volume and token usage per agent to identify cost spikes.
Verify Key Ownership
Check if a specific email address is associated with an active Cursor API key.
Map Repo to Agent
Link a specific GitHub repository to a cloud agent for better context window management.
Filter Agent Logs
Search through agent conversations for specific keywords or error codes.
Check Model Status
Verify if a specific model like GPT 4 or Claude 3 is currently available for API requests.
Rotate API Access
Trigger a key refresh process for a specific user to maintain security compliance.
Export Conversation
Push a specific agent conversation thread into a markdown file for documentation.

12 actions · scroll to see them all

Frequently asked questions

Ceven uses secure token exchange to interact with the Cursor API. When you connect your account, we request a scoped access token that allows the agent to read agent logs and model lists without having full administrative control over your billing settings. This token is stored in an encrypted vault and is only accessed when a workflow specifically calls a Cursor action. We never store your primary password and you can revoke the connection from your Cursor settings page at any time. This ensures that your codebase and private conversations remain protected while still allowing the agent to pull the necessary metadata for your engineering reports.
No. Ceven interacts with the Cursor Cloud API, not your local file system. The integration can see cloud agent conversations, API key metadata, and the list of repositories you have authorized through the Cursor dashboard, but it cannot browse your local disk or read files that have not been indexed by the Cursor cloud services. This separation ensures that your local environment remains private. If you want a specific piece of code analyzed, it must be part of a conversation with a cloud agent or residing in a GitHub repository that the Cursor account has permission to access.
Yes. The Cursor API enforces strict rate limits on the Get Agent Conversation endpoint to prevent abuse of their backend. Depending on your Cursor subscription tier, you may encounter a 429 error if the agent attempts to pull hundreds of conversations in a few seconds. To handle this, Ceven implements an exponential backoff strategy that pauses and retries requests automatically. For very large teams, we recommend scheduling your sync workflows to run every hour rather than in real time to avoid hitting these tier gated limits and ensuring a smooth data flow into your tools.
No. Using Ceven to read existing conversation histories or list available models does not trigger new AI completions. Since we are calling the administrative and retrieval endpoints of the Cursor API rather than the chat completion endpoints, you are not consuming tokens from your monthly quota. You only spend tokens when you are actively interacting with the AI inside the editor or when you trigger a cloud agent to generate new code. Ceven simply acts as a mirror for the data that has already been generated during your normal coding sessions.
Currently, the integration is focused on read and manage operations. While Ceven can list agents and retrieve their history, it cannot programmatically spin up new cloud agents or modify their core system prompts. This is a limitation of the current Cursor API permissions model which requires manual setup for new agents to ensure human oversight of AI behavior. You can create the agent in the Cursor dashboard and then use Ceven to monitor its performance and archive its conversations into your team knowledge base automatically.
Ceven pulls the list of repositories that the authenticated Cursor user has already granted access to. We do not request separate GitHub permissions unless you connect GitHub as a standalone integration in Ceven. The agent simply asks Cursor which repos it can see and then uses that list to provide context for your workflows. If you add a new repository to your Cursor account, it will appear in Ceven the next time the List GitHub Repositories action is called, ensuring your AI context mapping stays current with your actual project list.
Ceven cannot remotely change the active model selected in your local Cursor editor window because that is a client side setting. However, it can identify which models are available via the List Available Models action and alert you if a newer, more capable model has been released that your team should switch to. The agent can also track which model was used for a specific conversation in the cloud, allowing you to analyze whether Claude 3 or GPT 4 provided better solutions for your specific codebase.
If a cloud agent is deleted in Cursor, any subsequent calls to Get Agent Conversation for that specific ID will return a 404 error. Ceven handles this by marking the agent as inactive in your workflow context and notifying the administrator. Any historical data that Ceven had already mirrored to your external tools like Notion or Jira will remain intact, as we create a permanent copy of the conversation during the sync process. This prevents the loss of critical architectural decisions just because a temporary agent was removed.

Alternatives to Cursor

Other tools that solve a similar problem. Ceven supports these too, so you can switch or run more than one at once.

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