Named-entity recognition. POST { text }. Extracts people, organizations, locations, dates, money, products, laws, events and more — each with a standard type and mention count. For knowledge extraction, redaction prep, and document indexing.
AI agents call ai.entities to retrieve information from Mcp without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a pure data extraction and analysis tool. It processes input text to identify and classify named entities, returning categorized metadata. There are no side effects, no data modification, no code execution, and no financial operations. The extraction is read-only analysis suitable for indexing and redaction workflows.
From the tool's definition Tool performs 'Named-entity recognition' and 'Extracts people, organizations, locations, dates, money, products, laws, events' for 'knowledge extraction, redaction prep, and document indexing.' It takes text input and returns structured entity data without…
Attacks that exploit this kind of access
Named-entity recognition. POST { text }. Extracts people, organizations, locations, dates, money, products, laws, events and more — each with a standard type and mention count. For knowledge extraction, redaction prep, and document indexing. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.
Register the MCP server in PolicyLayer and add a rule for ai.entities: 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 Mcp. Nothing to install.
ai.entities 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.entities 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.entities. 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.entities is provided by the MCP server (@2sio/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 →