What Shadow AI List MCP server does
Shadow AI List MCP server gives AI agents access to a registry that ranks the risk of AI tools. It also supports checking a domain for possible shadow AI usage or association. These capabilities are aimed at developers and teams that need to identify AI tools and assess their related risk.
The available description defines two primary tasks: looking up the risk of a named AI tool and checking a domain against the shadow AI registry. The material does not describe broader asset discovery, reporting, policy enforcement, or automated remediation features.
How it works
The service is available at https://ailist.airiskmanagement.ca. An MCP-compatible agent can use the listed capabilities to request information about an AI tool or domain. The registry supplies the risk-oriented result; the provided material does not explain the ranking methodology, response format, authentication flow, or whether results are returned synchronously.
A typical use is to submit an AI tool name when its risk needs to be reviewed. A separate domain check can help identify whether a website or service is considered shadow AI. The description does not state whether searches accept aliases, URLs, partial names, or other input formats.
Tools and capabilities
The documented capabilities are:
- Look up the risk assigned to an AI tool.
- Check whether a domain is shadow AI.
- Query a risk-ranked registry of AI tools.
These functions make Shadow AI List MCP server relevant to workflows that need a focused risk lookup rather than general AI tool execution. No other tools are documented in the supplied material, so integrations, filters, exports, and write operations should not be assumed.
Limitations and notes
The available listing does not include a README or technical setup instructions. It does not specify installation commands, transport type, environment variables, authentication requirements, supported MCP clients, licensing, rate limits, data freshness, or the criteria used to rank risk.
Shadow AI List MCP server should therefore be evaluated against the required deployment method before adoption. In particular, confirm how the service is registered with the intended MCP client and what inputs the two checks accept. The documented scope is limited to AI-tool risk lookup and domain shadow-AI checking; claims about monitoring, enforcement, or comprehensive coverage are not supported by the provided information.