MCP for AI agents
Expose profiles to Model Context Protocol clients so an agent can pick a profile, launch it, and operate the account within your rules.
MCP & local API
An antidetect browser your AI agents and scripts can drive
GekkoLogin exposes a local API and MCP (Model Context Protocol) so agents and automation can launch isolated browser profiles and connect over standard debugging endpoints — while keeping the isolation, cross-machine sync, consistent fingerprint, and team permissions of manual use.
What you can build
Automation that respects the profile model
Local API
Start and stop profiles programmatically from your own scripts, then connect automation through standard browser debugging endpoints.
Profile as a contract
Automation targets explicit profile IDs and launch requirements, not a second, unmanaged operating system outside the workspace.
Same isolation guarantees
Automated launches get the same isolated storage, consistent fingerprint, and per-profile proxy as manual sessions.
Portable across machines
Because environments sync encrypted with single-machine locking, an automated run opens the same profile identically on any runner.
Team-safe
Role-based permissions still apply, so automation can use an account without being able to take ownership of it.
Why it matters
Agents need governed profiles, not raw browsers
The fastest way to lose accounts is to let scripts become a second operating system outside the team's workspace. GekkoLogin keeps automation inside the same profile contract: explicit IDs, launch rules, isolation, and permissions.
That means an AI agent or a scheduled job runs against the exact environment a human would open — same fingerprint, same proxy, same cross-machine state — so automated and manual work stay coherent.
Start automating
From download to first automated profile
Install GekkoLogin, create a profile, then drive it from the local API or connect an MCP client. See the documentation for endpoints, or explore features and pricing.