Fetch real package examples from git.cloudron.io. Finds the repository for a given App Store ID and returns the content of key files (CloudronManifest.json, Dockerfile, start.sh).
AI agents call cloudron_fetch_package_example to retrieve information from Mcp Cloudron without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves package metadata and configuration files from a git repository. It performs a read-only query operation (fetching and returning file content) with no side effects on the system, configuration, or data. There is no modification, deletion, execution, or financial impact.
From the tool's definition Tool description states it 'Fetch[es]' and 'returns the content of key files' from a remote repository. The verb 'fetch' and the action of retrieving/reading file contents without modification indicates data retrieval only.
Attacks that exploit this kind of access
Fetch real package examples from git.cloudron.io. Finds the repository for a given App Store ID and returns the content of key files (CloudronManifest.json, Dockerfile, start.sh). It is categorised as a Read tool in the Mcp Cloudron MCP Server, which means it retrieves data without modifying state.
Register the Mcp Cloudron MCP server in PolicyLayer and add a rule for cloudron_fetch_package_example: 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 Mcp Cloudron. Nothing to install.
cloudron_fetch_package_example is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the cloudron_fetch_package_example 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 cloudron_fetch_package_example. 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.
cloudron_fetch_package_example is provided by the Mcp Cloudron MCP server (serenichron/mcp-cloudron). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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