{"ok":true,"name":"list_docs","description":"Browse the documentation site structure to discover what pages and sections exist. Returns a tree showing directory slugs (usable as read_doc paths) and labels. Default depth is 1 (compact overview) when no section is specified, or 2 when a section/path is specified. Use depth=2-3 to see more detail. The path parameter performs a strict lookup — on a miss no tree is returned, just a short not-found message listing the searched sections; call again without path to browse.","inputSchema":{"type":"object","$schema":"http://json-schema.org/draft-07/schema#","required":["section"],"properties":{"path":{"type":"string","description":"Strict lookup for a specific subtree path (e.g., 'llamaparse', 'module_guides/llms'). The path must match a directory or page path exactly (after normalization — leading/trailing slashes and case are ignored). On a miss, returns a one-line not-found message listing which sections were searched; no full-tree fallback."},"depth":{"type":"integer","maximum":5,"minimum":1,"description":"How many levels of the tree to expand. Default: 1 for overview (no section), 2 when a section or path is specified. Groups beyond this depth are collapsed to show just their name and page count."},"section":{"enum":["all","llama-cloud","liteparse","llama-index-workflows","llama-index","for-agents","llama-cloud-reference/http","llama-cloud-reference/python","llama-cloud-reference/typescript"],"type":"string","description":"Filter docs to a specific section, or 'all' for the whole site.\n- all: every section below\n- llama-cloud: LlamaParse product guides and examples (document parsing, extraction, classification, index). API reference lives under the llama-cloud-reference/* sections.\n- liteparse: LiteParse — local PDF/DOCX/image parsing CLI and library, no cloud dependency.\n- llama-index-workflows: LlamaAgents — the agent workflow engine and llamactl deployment tool.\n- llama-index: LlamaIndex framework — core Python LLM framework (indexes, retrievers, query engines) and integrations.\n- for-agents: Agent tooling overview — hosted MCP servers, agent skills and plugins, workflow nodes, and programmatic access to these docs.\n- llama-cloud-reference/http: LlamaCloud HTTP API reference (Stainless-generated): endpoints, request/response schemas.\n- llama-cloud-reference/python: LlamaCloud Python SDK reference (Stainless-generated): classes, methods, types.\n- llama-cloud-reference/typescript: LlamaCloud TypeScript SDK reference (Stainless-generated): classes, methods, types."}},"additionalProperties":false},"serverUrl":"https://developers.llamaindex.ai/mcp","transport":"http","handshake":"ok","host":"developers.llamaindex.ai","score":34,"grade":"D","auth":"api-key","lastScannedAt":"2026-10-30T13:13:58.924Z","stale":false,"permalink":"https://agentboardai.app/mcp/developers.llamaindex.ai/list_docs","page":"https://agentboardai.app/site/developers.llamaindex.ai"}