1 min lesson
Integrating into the existing toolchain
For each case in "Integrating into the existing toolchain", name the signal and the response you would use.
Step 1 of 2
Integrating into the existing toolchain
Cursor lives inside the developer's loop, so it touches the tools that loop already runs. Two categories matter: the change pipeline and the context sources.
Git hosting (GitHub, GitLab, Bitbucket) and the PR review flow.
CI/CDContinuous Integration / Continuous Delivery. The automated pipeline that builds, tests and ships code so changes reach production safely and often. Press Enter for the full definition. where SASTStatic Application Security Testing. Scanning source code for vulnerabilities without running it. In AI-heavy workflows it is the automated gate that reads every generated diff before a human does. Press Enter for the full definition./DASTDynamic Application Security Testing. Probing a running application for vulnerabilities from the outside, the way an attacker would. Complements SAST, which reads the code instead of poking the app. Press Enter for the full definition./SCASoftware Composition Analysis. Scanning third-party dependencies for known vulnerabilities and license problems. Press Enter for the full definition./secrets gates run on the diff.
Ticketing for traceability of why a change was made.
Cursor sits upstream as the author; the pipeline is unchanged.
MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. Press Enter for the full definition. connects Cursor to internal docs, services and tools.
An MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. Press Enter for the full definition. allowlist bounds which servers and tools agents can reach.
Brings real internal context to the agent without exposing everything.
This is the lever that makes Cursor fluent in the customer's own systems.