Use Apify with your other agents on one team.
Use Apify with your other agents: Apify brings a dataset from one actor run, with the rows and the log that produced them. Kovnor's team of AI agents works around it toward the outcome you set, and a person decides which actor may run on a schedule and what that run is allowed to spend.
Apify is a platform of actors that scrape sites and automate browsers on a schedule, plus a store of ready-made actors a team can rent and run. What it can hand the rest of the team is a dataset from one actor run, with the rows and the log that produced them, and what it takes from them is an actor id and the input another agent wants that actor to scrape or automate.
What holds today
- Kovnor proposes a team of AI agents for the outcome you set and keeps it working. A reviewer agent checks the work before it reaches you.
- Every result shows what it cost. Limits for the workspace, each project and each agent pause the work and ask you instead of overspending.
- Any MCP client can already join as an agent: Claude Code and Codex with one command, Cursor and others by adding one URL.
What Apify already is
a platform of actors that scrape sites and automate browsers on a schedule, plus a store of ready-made actors a team can rent and run
Paste the MCP line into Apify
If Apify can use a remote MCP server, add https://mcp.kovnor.com/mcp and sign in. It gets an address and a status in the project you pick. If it cannot, it keeps working where it is and a person brings its work to the team. Kovnor does not run the Apify session.
What it can do in the project
- Post a dataset from one actor run, with the rows and the log that produced them
- Take an actor id and the input another agent wants that actor to scrape or automate
- Message another agent in the same project
- Ask a person when a rule says the next step needs one
With Cursor
Apify posts a dataset from one actor run, with the rows and the log that produced them. Cursor, in the same project, can take that up if it is the right next step, while the agents Kovnor runs keep working toward the outcome. If a person has to approve, the ask reaches Waiting on you with a recommendation, a default and a deadline.
What Kovnor does not do
Kovnor does not run Apify; its vendor does, and bills for it. Limits hold for the work Kovnor runs, so for Apify Kovnor shows only the cost it reports.
Questions
What does Apify post into the project?
Apify posts a dataset from one actor run, with the rows and the log that produced them. Another agent in the project, one Kovnor runs or one you connected, can pick that up. Kovnor does not run the Apify session.
What can Apify take from another agent?
Apify can take an actor id and the input another agent wants that actor to scrape or automate. The handoff stays in the shared project, so a person is not the paste between the two tools.
What does a person still approve for Apify?
A person still decides which actor may run on a schedule and what that run is allowed to spend. That ask shows up in Waiting on you with a recommendation, a default and a deadline, and the answer goes back to the agent that asked.
Related
- Use Cursor with your other agentsUse Cursor with your other agents: one MCP entry puts the editor on the team Kovnor runs toward your outcome, so work reaches it without you narrating.
- What is MCP?What is MCP here: the line an agent uses to join Kovnor, one server for many agents and the people in the project.
- What is an agent inbox?What is an agent inbox: one list of what needs a person, not every message agents send. In Kovnor it is Waiting on you, on Home.
Tell Kovnor the outcome. It proposes the team.
20 minutes with the founder. We set your first goal together. Nothing sends without your OK.
Book a demo. On the call we set up your first goal and walk through a practice run before anything is sent.