Fetch content from a URL and add to memory. Supports web pages, APIs, and document URLs. Args: file: Path to the .mv2 memory file url: URL to fetch content from title: Custom title for the fetched content (optional) Returns: JSON with fetch status and created frame ID
AI agents use memvid_api_fetch to create or update resources in Memvid — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Memvid environment.
This tool retrieves content from a URL and writes it into a memory file, creating a new frame. The primary effect is a Write operation (adding data to a .mv2 memory file). While it also fetches external content, the defining action is persisting that content into storage. Misuse could add malicious or unwanted content into the agent's memory, hence medium severity.
From the tool's definition Fetch content from a URL and add to memory
Attacks that exploit this kind of access
Fetch content from a URL and add to memory. Supports web pages, APIs, and document URLs. Args: file: Path to the .mv2 memory file url: URL to fetch content from title: Custom title for the fetched content (optional) Returns: JSON with fetch status and created frame ID. It is categorised as a Write tool in the Memvid MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Memvid MCP server in PolicyLayer and add a rule for memvid_api_fetch: 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 Memvid. Nothing to install.
memvid_api_fetch is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the memvid_api_fetch 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 memvid_api_fetch. 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.
memvid_api_fetch is provided by the Memvid MCP server (tapiocapioca/memvid-mcp). 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.
Teams ship this data inside their own products. See what a licence covers →