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Vinkius

Cursor Analytics Connector for AI agents.

12 live capabilities

Track team AI coding metrics and adoption trends in real time.

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AI Agent

Why people use Cursor Analytics

Cursor Analytics for Engineering Team ROI Tracking

This Connector lets you just ask your AI agent for the numbers. You get a breakdown of model usage, edit rates, and active users in a few seconds. You get a clear picture of your team's productivity without the spreadsheet headache.

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

What Vinkius changes

You get conversational access to your team's AI coding performance data.

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

One account · 6,100+ Connectors

  1. Real-world use case 01

    The ROI Report

    An Engineering Manager asks for a monthly summary of AI edit acceptance rates to justify the enterprise seat cost.

  2. Real-world use case 02

    The capability Audit

    A Platform Team wants to see which MCP capabilities are actually being used to decide which ones to keep.

  3. Real-world use case 03

    The Training Plan

    A Team Lead notices low plan mode adoption and asks for a breakdown to target a specific team for a workshop.

Complete set · 12capabilities

The complete Cursor Analytics capability set.

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

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 12 available through Cursor Analytics.

  1. 01 Capability

    Get agent edits

    Get metrics on suggested code edits, including acceptance rates and lines changed.

  2. 02 Capability

    Get ask mode adoption

    Check how frequently users use ask mode to query their codebase.

  3. 03 Capability

    Get client versions

    View the distribution of Cursor client versions across your organization.

  4. 04 Capability

    Get commands adoption

    See which specific Cursor commands are most popular among your developers.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 12 available through Cursor Analytics.

  1. 05 Capability

    Get daily active users

    Get the count of daily active users, including breakdowns by CLI and cloud activity.

  2. 06 Capability

    Get leaderboard

    Pull a ranked list of team members based on various AI usage metrics.

  3. 07 Capability

    Get tab usage

    Get data on tab autocomplete suggestions, accepts, and rejects.

  4. 08 Capability

    Get top file extensions

    Identify the top 5 file extensions ranked by suggestion volume each day.

Capability set03 / 03

09—12

4 capabilities in this set.

Part of 12 available through Cursor Analytics.

  1. 09 Capability

    Get plans adoption

    See how often your team uses the plan mode to outline code before writing it.

  2. 10 Capability

    Get mcp adoption

    Track which MCP capabilities your team integrates most often.

  3. 11 Capability

    Get skills adoption

    Monitor which specific Cursor skills are being leveraged the most.

  4. 12 Capability

    Get model usage

    See which AI models your team prefers based on message volume and active users.

Set up in minutes

One URL. Then ask Cursor Analytics to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Cursor Analytics 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_H9OWwxFXSPPU6eyXPduRCKXQ8tGqPSGu6oKasFrL/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 Analytics, and paste the URL above.

  3. Step 03

    Turn it on in chat

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

Where the request belongs

Work Cursor Analytics can move forward.

Built around the request

Engineering managers and team leads who need to prove ROI on AI capabilities and identify where the team needs more training or better resources.

01

Engineering Manager

Tracks AI adoption and measures ROI across the team to justify software costs.

02

Team Lead

Identifies top contributors and understands which AI features drive the most productivity.

03

Platform Engineer

Monitors MCP capability adoption and plans client version rollouts based on distribution data.

04

DevOps Engineer

Tracks daily active user trends and model preferences for cost optimization.

Build the capability set

Add more capabilities.

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

Browse Connectors
Cursor Cloud Agent logo
01 12 capabilities

Cursor Cloud Agent

Create and manage Cursor cloud agents. spin up autonomous coding agents, track runs, monitor usage, and manage artifacts from any AI assistant.

View Connector
CodeRabbit logo
02 9 capabilities

CodeRabbit

Manage AI-powered code reviews via CodeRabbit. list users, track PR review metrics, audit admin actions, and control seat assignments from any AI agent.

View Connector
Braintrust logo
03 10 capabilities

Braintrust

Automate AI evaluations with Braintrust. organize projects, test model datasets, run benchmarks, and manage prompts via any AI agent.

View Connector
AgentOps (Agent Telemetry and Monitoring) logo
04 4 capabilities

AgentOps (Agent Telemetry and Monitoring)

Monitor and observe your AI agents with AgentOps. track traces, spans, and project metrics directly from your agent.

View Connector
WakaTime (Coding Stats) logo
05 14 capabilities

WakaTime (Coding Stats)

Track your coding activity and productivity metrics directly through WakaTime. monitor projects, goals, and time spent in your IDE.

View Connector
Datadog AI (LLM Observability) logo
06 10 capabilities

Datadog AI (LLM Observability)

Monitor LLM performance via Datadog. track token usage, audit prompts, and monitor AI model metrics directly from any AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep Cursor Analytics connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
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  • Windsurf
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  • Zed
  • Continue
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  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Cursor Analytics.

The practical details behind the request, access and result.

How do I get a Cursor Analytics API key?

Sign in to your Cursor Dashboard, navigate to Settings → API Keys, and generate a new API key. Ensure the key has the admin:* scope. Analytics API access requires it. The key format is crsr_xxx. Copy it immediately as it may not be shown again. Paste it into the API key field above to connect.

Is an Enterprise plan required to use the Analytics API?

Yes. The Cursor Analytics API is available exclusively to Enterprise teams. If your team is not on an Enterprise plan, API requests will return HTTP 403 Forbidden. Contact your Cursor account manager or upgrade to Enterprise to gain access.

What analytics metrics are available?

This Connector provides 12 analytics endpoints: agent edits (suggested/accepted/rejected diffs and lines), tab autocomplete usage (suggestions, accepts, rejects, lines), daily active users (with CLI, cloud agent, and bugbot breakdowns), client version distribution, AI model usage (messages and users per model per day), top 5 file extensions per day, MCP capability adoption, Cursor command adoption, plan mode adoption, skills adoption, ask mode adoption, and a team leaderboard with configurable sorting and pagination.

What date formats does the API support?

All analytics endpoints support the following date formats for startDate and endDate: relative shortcuts (7d, 30d, today, yesterday, now), ISO 8601 strings (e.g. 2026-07-10T00:00:00Z), calendar dates in YYYY-MM-DD format, and Unix timestamps. When omitted, startDate defaults to 7d and endDate defaults to today.

Can I filter analytics by specific users?

Yes. All analytics endpoints accept an optional users parameter with comma-separated email addresses or user IDs. When provided, the API returns metrics filtered to only those users. This is useful for tracking individual or subgroup performance, or comparing team members on the leaderboard.

What are the API rate limits?

The Cursor Analytics API enforces the following rate limits: 100 requests per minute at the team level for standard analytics endpoints, 50 requests per minute for by-user analytics, and 20 requests per minute for conversation insights endpoints. If you exceed these limits, the API returns HTTP 429 and the engine surfaces a clear message asking you to wait.

Does the API support caching with ETags?

Yes. The Cursor Analytics API supports ETag-based caching. When you make a request, the API may return an ETag header. On subsequent requests, sending If-None-Match with that ETag value will return HTTP 304 Not Modified if the data hasn't changed, saving bandwidth and reducing rate limit consumption. The engine handles standard HTTP responses transparently.

One connection away

Give your agent a direct line to Cursor Analytics.

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

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