import_map_favorites
Import favorites from a file in Nextcloud storage. Supports GPX, KML, KMZ, JSON, and GeoJSON.
This record as markdown: /tools/aiquila-nextcloud-mcp-server/import-map-favorites.md
What import_map_favorites does on AIquila — Nextcloud MCP Server
AI agents use import_map_favorites to create or update resources in AIquila — Nextcloud MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AIquila — Nextcloud MCP Server environment.
Why import_map_favorites is rated Medium
This tool creates or modifies map favorites in Nextcloud storage by importing structured geographic data from multiple file formats. While the import operation itself is reversible (favorites can be deleted), it materially alters the user's stored data. It does not execute arbitrary code, delete data irreversibly, or move money, placing it in the Write category.
From the tool's definition Tool performs 'import' action that modifies the map favorites data structure by reading external files (GPX, KML, KMZ, JSON, GeoJSON) and populating favorites. The description explicitly uses 'import' which indicates data creation/modification into the system.
Attacks that exploit this kind of access
The rule that runs import_map_favorites safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AIquila — Nextcloud MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For import_map_favorites, this is the rule to start with:
import_map_favorites 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 AIquila — Nextcloud MCP Server, apply this rule, and every import_map_favorites call is checked against it from then on.
Questions about import_map_favorites
Import favorites from a file in Nextcloud storage. Supports GPX, KML, KMZ, JSON, and GeoJSON. It is categorised as a Write tool in the AIquila — Nextcloud MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AIquila — Nextcloud MCP Server MCP server in PolicyLayer and add a rule for import_map_favorites: 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 AIquila — Nextcloud MCP Server. Nothing to install.
import_map_favorites 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 import_map_favorites 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 import_map_favorites. 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.
import_map_favorites is provided by the AIquila — Nextcloud MCP Server MCP server (elgorro/aiquila). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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