The Cursor agency.Ship, don't babysit AI.
Cursor can run agents in parallel across your codebase and reach your tools, but handed to a team with no setup it stays a fancier autocomplete nobody fully trusts. We roll it out on your repo, put its agents on the heavy work, and set the governance that keeps speed safe.
★★★★★Verified Trustpilot reviews · AI, automation & growth agency
ActiveCampaign
Adalo
AdCreative.ai
Ahref
Airtable
Allo (The Mobile First Company)
Anthropic
Apify
Apollo.io
AttioAttio Implementation Partner
Base44
Baserow
Brevo
Bright Data
Browse AI
Bubble
CaptainData
ChatGPT
Claude
Claude CodeClaude CoworkClaude Design
Clay
Clickup
Cursor
DeepSeek
Dust
ElevenLabs
Fillout
Flutterflow
Folk CRM
Folk Implementation Partner
Freepik Spaces
Gamma
GeminiA Cursor agency makes it stick, not just installs it.
Anyone can buy seats. Setting Cursor up so it knows your repo, putting its agents on real work, and keeping it governed is a different job. Here are the four things we own.
- Adoption
Cursor rolled out so the whole team uses it
Buying seats isn't a rollout. We set Cursor up so it understands your codebase: project rules, the right models per task, indexing tuned, and the MCP servers it needs wired in. We standardise the setup across the team so everyone gets the same quality, not a few power users and a long tail who gave up after a bad first week.
See a typical rollout - Agent mode
Parallel agents on the work that eats the week
Cursor's leverage in 2026 is agents, not autocomplete. We put its parallel agents to work on isolated branches for migrations, multi-file features, review passes and E2E checks (the agents can drive a real browser now). We scope each task, keep the human on the diff, and turn the editor into throughput instead of a fancier autocomplete nobody trusts.
See the method - Integration
Wired into your repos, CI and internal systems
Cursor earns its keep when it reaches your real systems. We wire MCP connectors so its agents can query your database, open GitHub PRs, read a Sentry error or a Linear ticket, and post to Slack, within scoped permissions. Hooked into your CI, it runs the suite and iterates on failures, with a human approving before anything merges.
See the integrations - Governance & enablement
Faster devs, without a security headache
Agentic speed without controls is a liability. We set up Teams or Enterprise the right way: SSO, privacy mode, audit logs, model controls, and rules that keep agents inside your bar. Then we train your engineers on the workflow that ships (plan, review, keep the human in the loop). We're an automation and AI agency first, so it plugs into how you already build.
See AI enablement
We roll out Cursor like an engineering tool, not a toy.
Most Cursor rollouts die the same way: seats bought, no rules, no governance, a few devs try agent mode on a bad first task and write it off. So we treat it like infrastructure: set up to know your repo, scoped with controls, extended with agent workflows, and handed to a team trained on what actually ships.
- Audit · map your stack, repos and where your devs actually lose time
- Setup · rules, models, indexing, MCP and permissions, safe by default
- Build · agent workflows for the work that eats the week, scoped and tested
- Enable · train the team and set the governance so it scales without risk
We ship with AI editors every day.
We don't sell a partner tier. We build real software with Cursor and Claude Code, so we set Cursor up the way it works: strong rules, scoped MCP, CI gates, humans on every diff. That's exactly what's missing when a rollout ends at handing out seats.
- We use AI code editors every day to ship real software, so we set Cursor up the way it actually works, not the way a demo suggests.
- Human-in-the-loop by default: review, permissions and CI gates so agentic speed doesn't turn into shipping bugs faster.
- You leave autonomous: the rules and setup live in your repo, so your team owns it without us.
- Honest on fit: we use Cursor and Claude Code both, and we'll tell you which suits which team instead of selling one.
Cursor at the core, your engineering stack around it.
We configure the parts that turn AI coding into reliable throughput, then connect them to how your team ships. Here's what a real rollout covers.
- Setup
Project rules & indexing
We write the Cursor rules that teach it your conventions, stack and commands, and tune indexing so its answers are grounded in your repo, not generic boilerplate.
- Setup
MCP connectors
We wire the Model Context Protocol servers Cursor's agents need: your database, GitHub, Sentry, Linear, Slack, internal APIs, within scoped permissions you control.
- Setup
Agent mode & parallel runs
We set up agent workflows for migrations and multi-file features, using parallel agents on isolated branches so big work runs in parallel, then merges cleanly.
- Setup
Browser & E2E agents
We put Cursor's browser-driving agents to work on end-to-end checks: navigating pages, clicking, filling forms, so changes get tested, not just written.
- Setup
CI/CD & GitHub
We connect Cursor to GitHub and your pipeline so agents open PRs, run the suite and iterate on failures, with a human approving the diff before merge.
- Setup
Team governance
Teams or Enterprise set up right: SSO and SAML/OIDC, privacy mode, audit logs, model controls and seat management, so scaling AI coding stays compliant.
We map your engineering bottleneck, you leave with a plan.
Before quoting anything, we take 60 minutes to look at your stack, your repos and where your devs actually lose time. You leave with an honest read on what Cursor fixes, what to set up first, and the governance you need. Zero pitch, just an engineer's take on your workflow.
- An honest read on where Cursor helps your team
- The setup and controls to wire first
- The agent workflows worth building
- A frank take on Cursor vs Claude Code for your team
How we run a Cursor rollout.
Five steps, in order. We don't let the team move fast before the controls are wired, we don't ship agent workflows without a review step, and your team owns it at the end. Each step has a deliverable and you sign off before we move on.
- Step 1 · Engineering audit
Map where your devs actually lose time
We sit down with your engineers and look at the real bottlenecks: review backlogs, slow migrations, flaky tests, onboarding that drags. We check your stack, repos and CI. Half the value is telling you where Cursor moves the needle and where it won't, so you don't roll out a tool against the wrong problem.
- Step 2 · Safe setup
Set it up so it knows your repo and stays in bounds
We write the project rules, pick the right models per task, tune indexing, wire the MCP servers it needs, and set privacy mode, permissions and model controls so it's safe by default. An engineer on your side signs off on the guardrails before the team scales usage.
- Step 3 · Agent workflows
Put parallel agents on the heavy work
We design agent workflows for the work that eats the week: framework migrations, multi-file features, review passes, E2E checks. Cursor's parallel agents run on isolated branches and merge cleanly, each scoped to a task with a review step so a human approves the diff. The boring 80% gets done; the judgment stays with your team.
- Step 4 · Integrate
Connect it to CI, GitHub and your tools
We wire Cursor into your pipeline and internal systems through MCP so it works where your team works. Agents open PRs on GitHub, the suite runs in CI, connectors reach your database, Sentry, Linear and Slack. Everything ships with its permissions and logging from day one, not bolted on later.
- Step 5 · Enable & hand over
Train the team, set the governance
We train your engineers on the workflow that ships (plan, review the diff, keep the human in the loop) and set up Teams or Enterprise governance: SSO, audit logs, model controls. The practices live in your repo rules so new hires inherit them. If you want to go deeper, our Cursor training covers agents and MCP end to end.
We're judged on the code that ships.
No partner badge to display, so we lead with what matters: feedback from the dev teams whose Cursor rollout we ran, and whether they kept shipping faster after we left. Our Trustpilot reviews come from those teams, not from a marketing deck.
- The rules and setup live in your repo, owned by your team
- Controls and review wired before anyone moves fast
- Agent workflows scoped, tested, human-in-the-loop
- Trustpilot reviews come from the teams we rolled it out for
The questions we get asked on repeat.
What does a Cursor agency actually do?
A Cursor agency rolls the AI editor out across your dev team so it sticks, instead of leaving you with seats nobody configured. We write the project rules that teach it your codebase, wire MCP connectors and CI, set up agent workflows for your repetitive work, and configure Teams or Enterprise governance (SSO, audit logs, privacy). The point is engineers shipping faster with the guardrails intact, not a tool a few people try once and drop.How much does a Cursor rollout cost?
It depends on scope: a setup-and-training rollout is nothing like building agent workflows and wiring MCP into your CI and internal tools. We don't throw out a flat package. We start with a free 60-minute audit to find where Cursor actually helps your team, then quote a fixed scope. Cursor's own Pro/Teams/Enterprise seats you pay to Cursor directly; we set up the usage and controls so the bill stays predictable.Cursor or Claude Code: which should our team use?
Different shapes, and we use both daily. Cursor is an AI-native editor: great for engineers who want agents inside a polished IDE with parallel runs and browser testing. Claude Code is terminal-first and SDK-driven: great for agentic automation, CI and custom agents. Many teams run both. We'll look at how your engineers actually work and tell you honestly which fits where, instead of pushing one because we sell it.Is it safe to let Cursor's agents touch our codebase?
Only if it's set up that way, and that's a big part of the job. We configure privacy mode, scoped MCP permissions, model controls and CI gates so agents can't merge unreviewed or run destructive actions, and we keep a human on every diff. Agentic coding is fast, and speed without review just ships bugs faster. We wire the controls first, then let the team move quickly inside them.What can Cursor's agent mode realistically do for us?
In 2026 Cursor runs multiple agents in parallel on isolated branches, and its agents can drive a real browser for end-to-end testing. Realistically that means framework migrations, multi-file features, large review passes and repetitive refactors get done in parallel while your engineers steer. It won't replace architectural judgment or own a release. We scope it to the mechanical heavy lifting and keep the decisions with your team.Can you connect Cursor to our internal systems?
Yes, through MCP. We wire connectors so Cursor's agents can query your Postgres, open a GitHub PR, read a Sentry error, search Linear tickets or post to Slack, all within scoped permissions you control. That's what turns it from a smarter editor into something that works against your real systems. We set up only the access each workflow needs, with logging, so nothing reaches further than it should.Do you set up Cursor Teams or Enterprise governance?
Yes. We configure SSO and SAML/OIDC, privacy and org-wide controls, audit logs, seat management and model controls so AI-assisted development scales without becoming a security or compliance problem. For regulated teams, the audit trail and privacy mode matter as much as the speed. We set the governance up alongside the workflows so adoption and control land together, not as an afterthought.How long does a Cursor rollout take?
For a scoped rollout (setup, rules, training), count 2 to 4 weeks: audit and safe setup first, then training and a first agent workflow. Building several agent workflows and wiring MCP into CI and internal tools runs longer. We split into batches so your team gets a useful, safe setup fast, rather than waiting on a big rollout before anyone ships a line with it.
Stop handing out seats. Roll it out right.
A 60-minute audit, your engineering bottleneck mapped, a rollout plan with the governance baked in. If your team can run it in-house after setup, we'll hand you the playbook. If we're the right fit, we handle it.