Find work email and enrich person data from LinkedIn URL.
AI agents call prospeo_enrich_from_linkedin to retrieve information from Prospeo MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and enriches publicly available person data and work email information from LinkedIn profiles. It performs data aggregation and lookup operations (Read category). Severity is medium rather than low because bulk or repeated use could enable email harvesting, profiling, or social engineering campaigns, though the tool itself causes no direct damage.
From the tool's definition Tool name contains 'enrich' and description states 'Find work email and enrich person data from LinkedIn URL' — operations that retrieve and aggregate data without modifying or deleting information.
Attacks that exploit this kind of access
Find work email and enrich person data from LinkedIn URL. It is categorised as a Read tool in the Prospeo MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Prospeo MCP Server MCP server in PolicyLayer and add a rule for prospeo_enrich_from_linkedin: 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 Prospeo MCP Server. Nothing to install.
prospeo_enrich_from_linkedin 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 prospeo_enrich_from_linkedin 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 prospeo_enrich_from_linkedin. 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.
prospeo_enrich_from_linkedin is provided by the Prospeo MCP Server MCP server (meerkats-ai/prospeo-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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