Low Risk

lanhu_resolve_invite_link

Resolve Lanhu invite/share link to actual project URL with tid/pid/docId parameters.

How to control lanhu_resolve_invite_link ↓

What lanhu_resolve_invite_link does on Lanhu MCP Server

AI agents call lanhu_resolve_invite_link to retrieve information from Lanhu MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why lanhu_resolve_invite_link needs a policy

This tool reads and resolves an invite/share link to extract project URL parameters (tid/pid/docId). It performs a lookup/translation operation with no side effects, no data modification, and no destructive actions.

From the tool's definition Resolve Lanhu invite/share link to actual project URL with tid/pid/docId parameters

Documented attack patterns abuse exactly the kind of access lanhu_resolve_invite_link gives an agent:

How to control lanhu_resolve_invite_link

PolicyLayer is an MCP gateway — it sits between your AI agents and Lanhu MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for lanhu_resolve_invite_link:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "lanhu_resolve_invite_link": {}
  }
}

lanhu_resolve_invite_link is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Lanhu MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Free to start. No card required.

Related tools and policies

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Questions about lanhu_resolve_invite_link

What does the lanhu_resolve_invite_link tool do? +

Resolve Lanhu invite/share link to actual project URL with tid/pid/docId parameters. It is categorised as a Read tool in the Lanhu MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on lanhu_resolve_invite_link? +

Register the Lanhu MCP Server MCP server in PolicyLayer and add a rule for lanhu_resolve_invite_link: 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 Lanhu MCP Server. Nothing to install.

What risk level is lanhu_resolve_invite_link? +

lanhu_resolve_invite_link is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit lanhu_resolve_invite_link? +

Yes. Add a rate_limit block to the lanhu_resolve_invite_link 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.

How do I block lanhu_resolve_invite_link completely? +

Set action: deny in the PolicyLayer policy for lanhu_resolve_invite_link. 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.

What MCP server provides lanhu_resolve_invite_link? +

lanhu_resolve_invite_link is provided by the Lanhu MCP Server MCP server (mrdgbot/lanhu-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Lanhu MCP Server tool call.

Start from Lanhu MCP Server, 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.

3 Lanhu MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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