MCP server · Amazon Rekognition
awslabs.amazon-rekognition-mcp-server
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⚠ Proposed MCP surface. No official hosted MCP server was found for Amazon Rekognition. The tools below are a candidate set derived from this provider's API, and the link points at the source descriptor rather than a live server. If Amazon Rekognition publishes an official server, this page will update to it on the next build.
Descriptor
Candidate descriptor · transport stdio
Tools
list_collections— Returns the list of face collection IDs and their face model versions.index_faces— Detects faces in an image and adds them to a specified collection.search_faces_by_image— Searches a collection for faces matching a supplied face image.detect_labels— Detects real-world entities (objects, scenes, concepts) within an image.detect_moderation_labels— Detects unsafe / inappropriate content in an image.recognize_celebrities— Recognizes celebrities in an image.compare_faces— Compares a face in a source image with faces detected in a target image.detect_text— Detects text in an image.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
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