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Cursor Analytics MCP, Ready to Go

Use Cursor Analytics MCP with Claude or Cursor to track team AI coding metrics, model usage, and adoption trends in real time.

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

Cursor Analytics MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Cursor Analytics MCP Server?

1068ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 12 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.

Min 845ms
Average 1068ms
Max 1907ms
Trend (improving) ↓ 21%
Daily latency
1907ms 7/12/2026
1102ms 7/13/2026
1302ms 7/14/2026
1180ms 7/15/2026
1184ms 7/16/2026
966ms 7/17/2026
1007ms 7/18/2026
1174ms 7/19/2026
1074ms 7/20/2026
1096ms 7/21/2026
845ms 7/22/2026
846ms 7/23/2026
7/12/2026 7/23/2026

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AI Agent

What AI agents can do with Cursor Analytics: 12 Team Coding Metrics Tools

Track team-wide AI adoption, model usage, and coding metrics through conversational queries.

Get agent edits

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

Get plans adoption

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

Get ask mode adoption

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

Get client versions

View the distribution of Cursor client versions across your organization.

Get commands adoption

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

Get daily active users

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

Get leaderboard

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

Get mcp adoption

Track which MCP tools your team integrates most often.

Get model usage

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

Get skills adoption

Monitor which specific Cursor skills are being leveraged the most.

Get tab usage

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

Get top file extensions

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

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.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

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.

06

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 Analytics MCP for Engineering Team ROI Tracking

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

Engineering Manager

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

Team Lead

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

Platform Engineer

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

DevOps Engineer

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

Frequently Asked Questions

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 MCP 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 tool 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.

Your AI, connected to everything.

No credit card required · Free tier available

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