awslabs.amazon-rekognition-mcp-server
One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.
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.
Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.
Work with this as data
Every MCP server here is available over the APIs.io API and to AI agents over MCP.