structify
Structify serves a live, anonymous, remote MCP server from its documentation host. It answered a real tools/list on 2026-08-14 and returned three tools with full JSON Schema inputSchemas. It is a DOCUMENTATION-PLANE server: the tools search, read and give feedback on the Structify docs. None of them call the Structify data platform. Structify publishes no MCP server for its REST API, so an agent can read Structify's documentation over MCP but must fall back to the REST API (openapi/) to actually create a dataset, scrape a page or run a job.
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Documentation
Documentation link · transport
Tools
search_structify— Search across the Structify knowledge base to find relevant information, code examples, API references, and guides. Returns contextual content with titles and direct links to documentation pages.query_docs_filesystem_structify— Run a read-only shell-like query (rg / tree / ls / head / cat) against a virtualized in-memory filesystem containing only the Structify documentation pages and OpenAPI specs. Nothing executes on any real machine.submit_feedback— Report a problem with the documentation site so the docs team can fix it. For documentation content only, not product support.
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.