An intelligent Revit element querying tool designed specifically for AI assistants to retrieve detailed element information from Revit projects. This tool allows the AI to request elements matching specific criteria (such as category, type, visibility, or spatial location) and then perform furthe...
AI agents call ai_element_filter to retrieve information from Revit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
ai_element_filter performs data retrieval and querying operations only. It retrieves elements matching criteria and performs analysis on returned data, with no side effects or state modifications to the Revit project. This is a classic Read operation. The tool is read-only and low severity since misuse would only return unwanted data without causing harm to the model.
From the tool's definition Tool is described as a 'querying tool designed specifically for AI assistants to retrieve detailed element information' and 'allows the AI to request elements matching specific criteria'.
Attacks that exploit this kind of access
An intelligent Revit element querying tool designed specifically for AI assistants to retrieve detailed element information from Revit projects. This tool allows the AI to request elements matching specific criteria (such as category, type, visibility, or spatial location) and then perform further analysis on the returned data to answer complex user queries about Revit model elements. Example: When a user asks. It is categorised as a Read tool in the Revit MCP Server, which means it retrieves data without modifying state.
Register the Revit MCP server in PolicyLayer and add a rule for ai_element_filter: 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 Revit. Nothing to install.
ai_element_filter 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 ai_element_filter 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 ai_element_filter. 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.
ai_element_filter is provided by the Revit MCP server (mohamed-elnahla/revit-mcp-github-copilot). 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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