Low Risk

read_cells

Read cell data from a module view. Use pages param to select specific page dimensions. For reports across ALL products/customers, use run_export instead -- do NOT call read_cells in a loop per item. viewId can be a saved view or moduleId (default). For >1M cells, use create_view_readrequest.

How to control read_cells ↓

What read_cells does on Anaplan MCP

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

Low Risk

Why read_cells needs a policy

This tool retrieves or queries data from Anaplan module views without side effects. It has no capability to modify, delete, or execute operations. The blast radius of misuse is limited to unauthorized data access or information leakage, which is a low-severity read risk.

From the tool's definition Tool name is 'read_cells' and description states 'Read cell data from a module view' — the primary action is data retrieval with no modification, creation, or deletion.

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

How to control read_cells

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

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

read_cells 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 Anaplan MCP — 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 read_cells

What does the read_cells tool do? +

Read cell data from a module view. Use pages param to select specific page dimensions. For reports across ALL products/customers, use run_export instead -- do NOT call read_cells in a loop per item. viewId can be a saved view or moduleId (default). For >1M cells, use create_view_readrequest. It is categorised as a Read tool in the Anaplan MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on read_cells? +

Register the Anaplan MCP server in PolicyLayer and add a rule for read_cells: 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 Anaplan MCP. Nothing to install.

What risk level is read_cells? +

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

Can I rate-limit read_cells? +

Yes. Add a rate_limit block to the read_cells 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 read_cells completely? +

Set action: deny in the PolicyLayer policy for read_cells. 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 read_cells? +

read_cells is provided by the Anaplan MCP server (larasrinath/anaplan-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Anaplan MCP tool call.

Start from Anaplan MCP, 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.

70 Anaplan MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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