Wrike ships a documented REST API, plus native connectors to a handful of tools like Salesforce and Slack, that let you read and write projects, tasks, custom fields, and time entries from outside the product. We build directly against that API when a native connector covers the basics but not the specific logic your business actually needs.
Wrike's API gives you access to the same objects you'd otherwise click through by hand: folders, projects, tasks, subtasks, custom fields, comments, time logs, and users. You authenticate with an API token or OAuth2, and from there you can create a project from a template, update a status, pull time entries, or react to a change through webhooks instead of polling.
Beyond the API itself, Wrike also ships native connectors to tools people search for by name: Salesforce, Slack, Microsoft Teams, Outlook, HubSpot, and SharePoint all show up with real, if modest, search volume around connecting them to Wrike. Those connectors handle straightforward cases well, a notification when a task moves, a basic record link, but they generally weren't built with your specific field mappings or approval logic in mind.
That gap is where most of our Wrike work actually lives. A native Salesforce connector might tell you a Wrike task exists; it won't necessarily update the right opportunity stage, respect your team's custom fields, or run both directions at once. We build that logic directly against Wrike's API once the native connector's basic behavior isn't enough.
A connector that just posts a Slack message when a task changes status is easy. A connector that has to decide which Salesforce opportunity a Wrike project actually belongs to, update it correctly, and handle the case where someone renames the project later, is a different problem entirely. That's custom logic, not configuration.
The same pattern shows up with Outlook and HubSpot: the native options move simple events in one direction. Two-way sync, conditional routing, or anything that has to reconcile data that changed in both places at once usually means building directly against the API instead of relying on the connector's default behavior.
A status change in Wrike updates the matching Salesforce opportunity stage, and a stage change in Salesforce updates the Wrike project, instead of one direction working and the other needing someone to notice and fix it by hand.
A request that lands in a shared inbox creates a correctly configured Wrike project automatically, right template, right owner, right custom fields, instead of someone forwarding the email and building the project themselves.
Maybe Salesforce syncs one direction but not the other. Maybe a custom field never makes it across. Tell us where the gap sits and we'll scope what it takes to close it.
Tell us which system Wrike needs to talk to and what the built-in connector gets wrong or skips entirely. We'll scope the custom work against Wrike's API directly. And if the real bottleneck is somewhere else in the business entirely, we're just as interested in that.
Let's talk →It does, and it's a real REST API, not a stripped-down partner-only version. Projects, tasks, custom fields, comments, and time entries are all reachable, with webhooks on top so a change in Wrike can push an event out instead of something polling for it on a timer.
A handful of the usual suspects, Salesforce, Slack, Microsoft Teams, Outlook, HubSpot, and SharePoint. They're genuinely fine for a simple trigger, post to Slack when a task changes, log a basic record link. Once your own custom fields, approval rules, or a two-way update enter the picture, those native connectors tend to run out of road and that's where our work actually starts.
Not one we've seen Wrike publish officially as of this writing, though the SaaS world is adding these fast enough that it may change. Either way, Wrike's existing API is already enough to build an MCP-compatible layer on top of it if an AI agent genuinely needs to read or act on Wrike data.
For one webhook or a small one-off automation, probably not. The moment it has to run unattended for months, survive a failed call without silently dropping data, and keep two systems honestly in sync, that's exactly the kind of thing worth having someone experienced build.
The automation engine runs entirely inside Wrike, triggered by Wrike's own events and only able to act on Wrike's own data. The API is the door for anything outside Wrike to read or write through. Most real setups use both, native rules for what stays inside the tool, custom API work for whatever has to reach past it.