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 MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool's primary function is to retrieve and query element data from Revit projects based on specified criteria. It performs no creation, modification, deletion, or execution of external operations. While the server overall includes destructive tools like 'delete_element', this specific tool is explicitly designed for data retrieval and analysis only, making it a Read operation with low risk.
From the tool's definition Tool is described as a 'querying tool designed specifically for AI assistants to retrieve detailed element information' that 'allows the AI to request elements matching specific criteria.' The example indicates lookup/filtering operations without modification.
Documented attack patterns abuse exactly the kind of access ai_element_filter gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Revit MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for ai_element_filter:
{
"version": "1",
"default": "deny",
"tools": {
"ai_element_filter": {}
}
} ai_element_filter is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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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 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 MCP. 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 (mcp-servers-for-revit/revit-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Revit 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.
25 Revit MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.