MCP server · Structify
structify
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⚠ Proposed MCP surface. No official hosted MCP server was found for Structify. 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 Structify publishes an official server, this page will update to it on the next build.
Descriptor
Candidate descriptor · transport http
Tools
create_dataset— Create a dataset (schema container).get_dataset_info— Get dataset metadata and schema.add_entity— Add an entity (node) to a dataset table.search_entities— Search entities in a dataset.add_relationship— Create a typed relationship between two entities.scrape— Run a web/PDF scrape into structured data.run_workflow— Run a workflow/pipeline.get_job— Get the status/result of an asynchronous job.list_connectors— List configured data connectors.export_dataset_csv— Export a dataset to CSV.
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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