MCP server · Autoderm – AI Dermatology API

autoderm

Autoderm publishes NO hosted or remote MCP server. This manifest is a CANDIDATE tool surface derived one-to-one from the operations in Autoderm's own OpenAPI — it describes what an MCP server for this API would expose, and is not a claim that Autoderm operates one. Each tool inherits its real input contract from the backing operation's parameters and requestBody in the spec.

View descriptor → Autoderm – AI Dermatology API provider profile

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.

⚠ Proposed MCP surface. No official hosted MCP server was found for Autoderm – AI Dermatology API. 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 Autoderm – AI Dermatology API publishes an official server, this page will update to it on the next build.

Provider: Autoderm – AI Dermatology API Type: Candidate descriptor Transport: Host: raw.githubusercontent.com

Descriptor

https://raw.githubusercontent.com/api-evangelist/autoderm-ai-dermatology-api/refs/heads/main/mcp/autoderm-ai-dermatology-api-mcp.yml

Candidate descriptor · transport

Tools

infer_diseases — Analyze a skin image and return the top 5 most probable skin conditions with confidence scores and ICD-10 codes.
get_disease_catalog — Fetch the static disease catalog mapping ICD-10 codes to localized names, layman's names and read-more links in en/fr/de/it/es/sv/zh. Fetch once and cache.
infer_skin_tone — Classify the Fitzpatrick skin type (1-6) of a skin image.
infer_genitals — Binary classifier flagging whether an image contains genitalia. A content safety pre-check.
infer_age — Predict the age in years of the subject in an image.
detect_blur — Screen an image for blur before spending a metered inference call. Returns is_blurry plus the Laplacian variance.
get_device_label — Retrieve the regulatory medical-device label: manufacturer, CE mark class, UDI, version, eIFU pointer and UK responsible person.
get_version — Return the API name and semantic version.
get_health — Liveness/readiness check.

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.