login
Make sure there is a Moodle session. If there is one, returns the logged-in user at once. Otherwise opens a browser window at the site's login page and waits until the person logs in there themselves (the server never sees their password), then returns the user. Call it when another tool reports ...
This record as markdown: /tools/falkenslab-moodle-mcp/login.md
What login does on Moodle
AI agents use login to create or update resources in Moodle, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Moodle environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
timeoutSeconds | integer | — | How long to wait for the person to log in, in seconds (default 300) |
Parameters from the server's own tool schema.
Why login is rated Medium
An AI agent can call login faster than any human can review: one bad instruction and it creates or modifies resources in Moodle by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs login safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Moodle, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For login, this is the rule to start with:
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.
The button opens the PolicyLayer dashboard: create your workspace, connect Moodle, apply this rule, and every login call is checked against it from then on.
Questions about login
Make sure there is a Moodle session. If there is one, returns the logged-in user at once. Otherwise opens a browser window at the site's login page and waits until the person logs in there themselves (the server never sees their password), then returns the user. Call it when another tool reports a missing or expired session. It is categorised as a Write tool in the Moodle MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
login accepts 1 parameter: timeoutSeconds. The full parameter table on this page comes from the server's own tool schema.
Register the Moodle MCP server in PolicyLayer and add a rule for 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 Moodle. Nothing to install.
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 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 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.
login is provided by the Moodle MCP server (@falkenslab/moodle-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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