Cursor Teams and Enterprise Rollout for Engineering Teams
Cursor Enterprise and Teams setup for engineering teams moving from personal accounts to one managed Cursor team. We choose the plan, connect SSO, enforce privacy mode, set admin roles, spend limits and access controls, write your AI coding policy and run Cursor training for your engineers. Cursor bills your seats directly.
What a Cursor Rollout Covers
We configure six areas so every engineer works with the AI agent under the same identity, privacy and Cursor security settings, then hand your admins a runbook and configuration register.
Cursor SSO and SCIM
SAML 2.0 SSO with Okta, Microsoft Entra ID or Google Workspace, domain verification, and SCIM on Cursor Enterprise.
Privacy Mode, Enforced
Cursor privacy mode enforced team-wide, so engineers' code stays out of model training by Cursor and its model providers.
Admin Roles and Spend Limits
Members, Admins and Unpaid Admins, team and per-member spend limits for third-party models, and usage analytics.
Repository, Model and MCP Access
On Enterprise, approved models and MCP servers with per-server tool restrictions, and sensitive repositories kept out of Cursor.
Agent Run Controls
Run Mode set to Auto-review with sandboxing, as an org-wide policy on Enterprise, and .cursorignore files for secrets and regulated paths.
Audit Logs and Device Policy
On Enterprise, audit logs streamed to your SIEM, webhooks or S3, and an MDM policy with AllowedTeamIDs that keeps personal accounts off company devices.
Moving your engineers onto a Cursor business plan?
Book a free strategy session. Tell us how many engineers you have, your identity provider and your Git platforms, and we will map the plan, SSO setup and access controls.
Cursor Teams or Cursor Enterprise
Cursor for teams comes in two business plans. Both include SAML SSO, team-wide privacy mode, usage analytics and Bugbot AI code reviews. Cursor Enterprise adds pooled usage, SCIM and finer Cursor admin controls.
| Cursor Teams | Cursor Enterprise | |
|---|---|---|
| Seat price (Cursor) | Premium $30, Super $100 and Ultra $200 per user per month, with more usage on the higher seats | Custom, through Cursor sales |
| Billing | Credit card, per active paid seat | Invoice and PO billing |
| Usage | A weekly pool per paid seat for Cursor models. Third-party models at API list price plus $0.25 per million tokens | Pooled across the team |
| Identity | SAML/OIDC SSO and role-based access | Adds SCIM seat management |
| Privacy mode | On by default, enforceable team-wide | On by default, enforceable team-wide |
| Admin controls | Usage analytics, team and per-member spend limits | Adds group-level spend limits and repository, model, MCP, auto-run, browser and network controls |
| Audit and support | Admin Dashboard usage data | Adds audit logs, service accounts, priority support and a BAA for HIPAA |
Prices are from cursor.com/pricing and Cursor's Teams docs in October 2026, before taxes. Cursor positions Teams for engineering groups up to 25 people. Cursor Enterprise pricing is custom and quoted by Cursor's sales team. We help you choose the plan and seat types, and Cursor bills the seats. Companies also rolling out Claude can use our Claude Team and Enterprise rollout, and our AI enablement service covers teams running several AI assistants.
An AI Coding Policy for Engineers Using Cursor
A short policy engineers can follow, with each rule backed by a Cursor setting your admins control.
It names the repositories and data the AI agent may see, how privacy mode and secrets are handled, who reviews AI-written code before merge, and which MCP servers engineers may connect.
Repositories and data in scope
Sensitive repositories stay out of Cursor, as Cursor's hardening guide advises. Cloud Agents are the only Cursor feature that stores code, so the policy names the repositories allowed to use them.
Privacy mode and secrets
Privacy mode stays enforced. Terminal and MCP tools can't honor .cursorignore, so the policy pairs it with file permissions and approvals.
Review before merge
AI-written code goes through pull request review like any other change, with Bugbot checking for bugs, security issues and code quality problems.
Approved MCP servers
Engineers connect servers from the approved list, and an admin enables each new server after review.
We turn coding conventions into Team Rules, which admins can make required, and back each rule with a setting such as privacy mode or the MCP allowlist, as Cursor's security guidance recommends. Our AI acceptable use policy service covers the full document, engineer acknowledgment and review triggers for new tools.
Cursor Training for Engineers on Agents, Rules and Skills
Each session runs in your own repositories, inside the Cursor team and settings your engineers will use.
Agents and rules
Scoping agent tasks, reading diffs before accepting them, and writing project rules in .cursor/rules, which live in version control beside the code.
Skills and the team marketplace
Writing skills as folders with a SKILL.md file, then publishing them to your team marketplace so every engineer can use them.
Code review with Bugbot
Reading Bugbot's pull request comments, adding project context in .cursor/BUGBOT.md, and deciding which suggested fixes to accept.
Safe use of MCP tools
Connecting approved MCP servers, checking tool calls under Auto-review, and keeping credentials and customer data out of prompts.
Every track covers checking AI-written code and keeping secrets out of context. Admins get a separate session on seats, roles, spend limits, usage analytics and audit logs. For the rest of the company, our AI training for employees covers Claude, ChatGPT and Copilot.
MCP Servers and Internal Tools in Cursor
MCP servers let Cursor's AI agent call your internal tools, such as issue trackers, docs and internal APIs, once each server is approved.
On Cursor Enterprise, admins approve MCP servers through an allowlist and restrict the tools each server exposes, as part of Cursor's repository, model and MCP access controls. We review each server, test it with a restricted account and record the approval.
For internal systems, we route MCP traffic through a self-hosted MCP gateway in your own cloud account, so authentication, tool scopes and call logs stay with your company. When a system needs a new MCP server or API connector, our AI integration services team builds it.
The gateway exposes read tools for tickets and runbooks to each engineer's agent, under that engineer's own permissions.
Write tools such as status changes stay off the allowlist until a team lead approves them, and every call lands in the gateway log.
When Code Has to Stay in Your Network
Cursor's data-use page states that requests go through Cursor's backend, where it builds the final prompt, even when you use your own API key. When a contract or regulation keeps source code on your network, we deploy a self-hosted AI coding assistant.
The assistant is Continue, an open-source coding agent under the Apache 2.0 license, with an extension for VS Code and a plugin for JetBrains IDEs. We point it at open-weight coding models served with vLLM or Ollama on your servers or cloud account, or behind our self-hosted LLM gateway, which gives Continue one OpenAI-compatible endpoint, routes requests across models and records cost by team.
The extension runs on each engineer's machine, and the models and the gateway run on your infrastructure. We turn off Continue's anonymous telemetry, so prompts and code stay inside your network. You can run both setups side by side, with Cursor for most repositories and the self-hosted assistant for restricted ones.
What Shapes the Engagement
Every Cursor rollout we scope starts from seven factors: how many engineers you have, Teams or Enterprise, your identity provider, your Git platforms (GitHub, GitLab, Bitbucket Cloud or Azure DevOps), regulated code, the MCP tools engineers need, and coding assistants already in use. The answers set the configuration, policy and training work, and we quote against that scope after the strategy session, where we also answer schedule questions.
Your answers set the scope.
We confirm each factor with you before we propose anything.
Frequently Asked Questions on Cursor Enterprise
Cursor's pricing page lists pooled usage, invoice and PO billing, SCIM, granular and group-level spend controls, repository, model and MCP access controls, auto-run, browser and network controls, audit logs, service accounts and priority support. Cursor also points companies that need a HIPAA BAA to Enterprise. Teams covers SAML SSO, team-wide privacy mode, usage analytics and Bugbot.
A Cursor admin enforces privacy mode at the team level so members can't turn it off, and new members inherit the setting, per Cursor's security page. With privacy mode on, Cursor states your code is never used for training by Cursor or its model providers. On Enterprise, an MDM policy with AllowedTeamIDs keeps company devices on your Cursor team.
Yes. Cursor's docs list SAML 2.0 SSO at no additional cost on Teams and Enterprise, with providers such as Okta, Microsoft Entra ID, Google Workspace and OneLogin. SCIM is available on Enterprise plans with SSO enabled. Once your domain is verified and the provider connected, everyone on that domain signs in through SSO.
Cursor Enterprise pricing is custom and quoted by Cursor's sales team. For comparison, cursor.com/pricing lists Cursor Teams from $30 per user per month before taxes, and per Cursor's Teams docs, third-party models are billed at API list prices plus $0.25 per million tokens. Cursor bills seats directly, and we scope our setup and training separately after the strategy session.
Yes. Cursor's data-use page states that requests go through Cursor's backend even with your own API key, so for code that has to stay on your network we deploy Continue, the Apache 2.0 open-source coding agent, against open-weight models on vLLM or Ollama on your own infrastructure, with its telemetry turned off.
Ready to Roll Out Cursor Across Your Engineering Team?
Start with a free strategy session. Tell us how many engineers you have, your identity provider and your Git platforms, and we will come back with a recommended plan, an SSO, privacy mode and access control setup, and a scoped proposal.