MCP server · Tenyks
tenyks
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⚠ Proposed MCP surface. No official hosted MCP server was found for Tenyks. 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 Tenyks publishes an official server, this page will update to it on the next build.
Descriptor
Candidate descriptor · transport http
Tools
generate_access_token— Exchange an API key and secret for a Bearer access token.retrieve_datasets— Retrieve information for all datasets in the workspace.create_dataset— Create a dataset from a cloud-storage image location.upload_dataset_annotations— Upload the annotations of a dataset from cloud storage.ingest_dataset_annotations— Start asynchronous ingestion of a dataset's images and annotations.create_model— Create a model (inference set) for a given dataset.upload_model_predictions— Upload a model's predictions from cloud storage.ingest_model_predictions— Start asynchronous ingestion of a model's predictions.
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.