Connect to existing Chrome tab via CDP and save Upwork session cookies. Run connect-chrome.bat first, then call this.
AI agents use manual_login to create or update resources in Upwork — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Upwork environment.
This tool modifies persistent authentication state by saving session cookies, enabling future tool executions without re-authentication. While not destructive or financial in isolation, it is Write-category because it creates/modifies stored data (session state).
From the tool's definition Saves Upwork session cookies (persistent state modification) via Chrome DevTools Protocol connection to an existing browser tab. Described as 'save Upwork session cookies' which creates and stores authentication state.
Documented attack patterns abuse exactly the kind of access manual_login gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Upwork, and nothing reaches the server without passing your rules. This is the rule we recommend for manual_login:
{
"version": "1",
"default": "deny",
"tools": {
"manual_login": {
"limits": [
{
"counter": "manual_login_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} manual_login stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Connect to existing Chrome tab via CDP and save Upwork session cookies. Run connect-chrome.bat first, then call this. It is categorised as a Write tool in the Upwork MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Upwork MCP server in PolicyLayer and add a rule for manual_login: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Upwork. Nothing to install.
manual_login is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the manual_login rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for manual_login. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
manual_login is provided by the Upwork MCP server (zcrossoverz/upwork-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Upwork, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
11 Upwork tools catalogued and risk-classified — across an index of 43,000+ MCP servers.