_ registry / mcp http-sse · checked 2h ago

pageindex-chat

https://chat.pageindex.ai

Registry code: 8d63899fe22aef9f

api record

PageIndex by Vectify AI is a document platform for uploading and managing long PDFs (research papers, financial reports, legal docs, textbooks, etc.).

READING WORKFLOW:

endpoint
https://chat.pageindex.ai/mcp
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is pageindex-chat live?
Yes — it answered the hub's last check (checked 2h ago). It answered 100% of checks over the last 30 days.
Is pageindex-chat free to use?
Not anonymously — it asks for a key or a login before it will serve. Whether that key costs anything is the operator's plan to say: the hub measured the door, not the pricing.
What tools does pageindex-chat have?
9 tools: browse_documents, get_folder_structure, remove_document, process_document, search_documents, get_document_structure, get_document, get_page_content, ….
Is pageindex-chat safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
99.7%

90 days 99.8%· all time 99.8%

latency
299ms

last good check

priced tools
0

of 9 tools

_ answered our checks, 90 days 419 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • down → live
  • unknown → live
_ what it is for
topic
documents & files extraction & ocr
used for
  • upload and process a long pdf
  • get document outline
  • extract page content from pdf
  • search documents
takes → gives
documents, web pages → text, data, images
tools
7 reads2 changes data
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 9 tools
9 auth-required 9 of 9 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • browse_documents reads auth-required 6h ago

    Primary document retrieval tool. After orienting with get_folder_structure() (when available), use this for all document-related questions. The bare call returns root-level sub-folders and documents; pass folder_id to drill into a sub-folder level by level. Use sort="relevance" + query for semantic ranking. Do NOT jump to search_documents() first — it is an escalation path, only after browse_documents(sort="relevance") has failed.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "sort": {
      "enum": [
        "time",
        "relevance"
      ],
      "type": "string",
      "default": "time",
      "description": "Sort order. \"time\" (default) sorts by upload date (newest first); \"relevance\" orders documents by semantic relevance to `query`. Relevance also works inside the read-only shared folders — pass their folder_id — but at the library root it ranks only your own documents."
    },
    "limit": {
      "type": "number",
      "default": 10,
      "maximum": 50,
      "minimum": 1,
      "description": "Number of documents to return per page (1-50, default 10)"
    },
    "query": {
      "type": "string",
      "description": "Search query for relevance ranking. Required when sort=\"relevance\"."
    },
    "offset": {
      "type": "integer",
      "default": 0,
      "maximum": 9007199254740991,
      "minimum": 0,
      "description": "Zero-based pagination offset. Pass the value of `next_offset` from the previous response to fetch the next page."
    },
    "folder_id": {
      "type": "string",
      "default": "root",
      "description": "Folder scope (default \"root\"). Pass a specific folder ID to scope into that folder, or \"root\" to reference the library root. The read-only \"shared-with-me\" and \"following\" folders live at the library root — pass one of those ids to browse them. Copy any folder_id verbatim from a browse/tree response, never construct one. Combine with `recursive` to control breadth."
    },
    "recursive": {
      "type": "boolean",
      "default": false,
      "description": "Whether to include documents from descendant folders. When false (default), returns the direct contents of folder_id along with its sub-folders — prefer this for level-by-level exploration so you retain folder hierarchy context. When true, flattens all descendant documents into one list and omits sub-folders — use only when a non-recursive browse of the target folder returned no relevant results and you need to widen the scope, or the user explicitly requests a flat listing."
    }
  }
}
    arguments 43 lines
  • get_folder_structure reads auth-required 6h ago

    Orientation step: show the folder hierarchy as a tree (like `tree -d`). **Call this before browse_documents()** to plan targeted retrieval — folder names reveal content domains (e.g. "Research", "Finance") and return folder IDs you pass to browse_documents(folder_id=…). Wait for this result before issuing browse_documents() or search_documents(). For folder_id="root" (default), returns the entire folder tree; for a specific folder_id, returns that subtree only.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "path": {
      "type": "string",
      "description": "Human-readable folder path (e.g. \"Research/Papers/2024\"). Alternative to folder_id — copy a `path` value from any browse_documents() or search_documents() response. When provided, folder_id is ignored."
    },
    "depth": {
      "type": "integer",
      "default": 10,
      "maximum": 10,
      "minimum": 1,
      "description": "Maximum depth to traverse (1-10, default 10). Use a smaller value for very large folder trees."
    },
    "folder_id": {
      "type": "string",
      "default": "root",
      "description": "Subtree root (default \"root\" = entire library). Pass a specific folder ID to get only that subtree, or \"shared-with-me\"/\"following\" for the read-only folders at the library root. Copy any folder_id verbatim from a browse/tree response, never construct one. Ignored when `path` is provided."
    },
    "include_counts": {
      "type": "boolean",
      "default": true,
      "description": "Include file_count and children_count per folder (default true). Set false to reduce response size; the root node of the tree always carries its counts regardless of this flag."
    }
  }
}
    arguments 27 lines
  • remove_document changes data auth-required never probed

    Permanently delete documents and all associated data. Only invoke when the user explicitly names the documents AND confirms deletion. Returns `results` — one entry per requested document: `{ doc_name, status: "deleted" | "not_found" | "failed", error? }`. Inspect each entry for per-document failures. This action is irreversible.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "doc_names"
  ],
  "properties": {
    "doc_names": {
      "type": "array",
      "items": {
        "type": "string",
        "minLength": 1
      },
      "maxItems": 10,
      "minItems": 1,
      "description": "Array of document names to delete. Each name must be copied verbatim from the `name` field of a browse_documents() or search_documents() response (case-sensitive, include extension). Example: [\"Q3 Report.pdf\", \"draft.pdf\"]. Max 10 per call."
    },
    "folder_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "description": "Disambiguator for same-name documents. Copy the `folder_id` from the intended browse/search result; use \"root\" for root-level documents, or \"shared-with-me\"/\"following\" for the read-only folders at the library root; omit if `doc_name` is unique. Copy any folder_id verbatim from a browse_documents()/get_folder_structure() response, never construct one."
    }
  }
}
    arguments 30 lines
  • process_document changes data auth-required never probed

    Upload and process a PDF from a public URL (≤100MB). Only invoke with a valid URL the user has provided — never guess one. After processing, call `get_document()` to confirm status before reading content.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "url"
  ],
  "properties": {
    "url": {
      "type": "string",
      "format": "uri",
      "description": "Direct URL to PDF file"
    },
    "folder_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "description": "Target folder ID. Use \"root\" for the root folder, or omit to use the user's default folder (configured in settings)."
    }
  }
}
    arguments 25 lines
  • search_documents reads auth-required 17h ago

    ESCALATION tool — never the first step. Use only after `browse_documents(sort="relevance", query=...)` missed a document you strongly believe exists by precise term, acronym, or file-name fragment. Query must be keywords only — see the `query` schema describe. Each result has a `score` (6-10, higher is more relevant). On result: single best match → read it; several equally good → ask user; none → fall back to `browse_documents(sort="relevance")`.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "default": 10,
      "maximum": 50,
      "minimum": 1,
      "description": "Number of documents to return (1-50, default 10)"
    },
    "query": {
      "type": "string",
      "minLength": 1,
      "description": "Keyword query. Pass keyword(s) only — NOT a natural-language sentence. Multiple keywords are AND-matched: every token must appear in the file name or description. Examples: \"machine learning safety\" ✓; \"documents about machine learning safety\" ✗ (stop words \"documents\"/\"about\" will block matches)."
    },
    "folder_id": {
      "type": "string",
      "default": "root",
      "description": "Folder scope (default \"root\"). Pass a specific folder ID to scope into that folder, or \"root\" to reference the library root. Combine with `recursive` to control breadth. Mirrors browse_documents — copy any folder_id from a browse/tree response verbatim, never construct one. The default root search ALREADY covers the read-only \"shared-with-me\" and \"following\" folders; pass one of those ids (or one of their sub-folder ids) only to narrow the search to shared content."
    },
    "recursive": {
      "type": "boolean",
      "default": true,
      "description": "Whether to include documents from descendant folders. When true (default), searches the entire subtree of folder_id — for \"root\" that means the whole library, including the read-only \"shared-with-me\" and \"following\" folders. Set false to restrict to the direct contents of folder_id: root-level documents for \"root\", directly-shared documents for the read-only folders."
    }
  }
}
    arguments 31 lines
  • get_document_structure reads auth-required 17h ago

    Extract a document's hierarchical outline (headers, sections, page references). REQUIRED for documents over 20 pages — call this first to locate relevant sections, then pass their page numbers to `get_page_content()`. Use the `part` parameter to iterate large outlines until `pagination.has_more` is false.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "doc_name"
  ],
  "properties": {
    "part": {
      "type": "integer",
      "default": 1,
      "maximum": 9007199254740991,
      "minimum": 1,
      "description": "Part number for pagination (1-based, default 1). For large outlines, increment until the response's `pagination.has_more` becomes false."
    },
    "doc_name": {
      "type": "string",
      "minLength": 1,
      "description": "Copy the `name` field verbatim from a browse_documents() or search_documents() response (case-sensitive, include extension). Example: \"Q3 Report.pdf\". If the response shows two documents with the same name, pass `folder_id` alongside to disambiguate."
    },
    "folder_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "description": "Disambiguator for same-name documents. Copy the `folder_id` from the intended browse/search result; use \"root\" for root-level documents, or \"shared-with-me\"/\"following\" for the read-only folders at the library root; omit if `doc_name` is unique. Copy any folder_id verbatim from a browse_documents()/get_folder_structure() response, never construct one."
    },
    "wait_for_completion": {
      "type": "boolean",
      "default": false,
      "description": "If true and document is processing, automatically wait up to 3 minutes until completed. Reduces repeated tool calls."
    }
  }
}
    arguments 37 lines
  • get_document reads auth-required 17h ago

    Check a document's processing status and metadata. `status` is one of "pending", "queued", "processing", "completed", or "failed" — call this before `get_document_structure()` or `get_page_content()` to confirm the document is ready.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "doc_name"
  ],
  "properties": {
    "doc_name": {
      "type": "string",
      "minLength": 1,
      "description": "Copy the `name` field verbatim from a browse_documents() or search_documents() response (case-sensitive, include extension). Example: \"Q3 Report.pdf\". If the response shows two documents with the same name, pass `folder_id` alongside to disambiguate."
    },
    "folder_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "description": "Disambiguator for same-name documents. Copy the `folder_id` from the intended browse/search result; use \"root\" for root-level documents, or \"shared-with-me\"/\"following\" for the read-only folders at the library root; omit if `doc_name` is unique. Copy any folder_id verbatim from a browse_documents()/get_folder_structure() response, never construct one."
    },
    "wait_for_completion": {
      "type": "boolean",
      "default": false,
      "description": "If true and document is processing, automatically wait up to 3 minutes until completed. Reduces repeated tool calls."
    }
  }
}
    arguments 30 lines
  • get_page_content reads auth-required 13h ago

    Extract page content from a processed document. Use tight, targeted page ranges — never the whole document at once. For documents over 20 pages, call `get_document_structure()` first to pick relevant sections. Embedded image paths in the response feed into `get_document_image()`.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "doc_name",
    "pages"
  ],
  "properties": {
    "pages": {
      "type": "string",
      "pattern": "^(\\d+(-\\d+)?)(,\\s*\\d+(-\\d+)?)*$",
      "minLength": 1,
      "description": "Page specification: \"5\", \"3,7,10\", \"5-10\", or \"1-3,7,9-12\""
    },
    "doc_name": {
      "type": "string",
      "minLength": 1,
      "description": "Copy the `name` field verbatim from a browse_documents() or search_documents() response (case-sensitive, include extension). Example: \"Q3 Report.pdf\". If the response shows two documents with the same name, pass `folder_id` alongside to disambiguate."
    },
    "folder_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "description": "Disambiguator for same-name documents. Copy the `folder_id` from the intended browse/search result; use \"root\" for root-level documents, or \"shared-with-me\"/\"following\" for the read-only folders at the library root; omit if `doc_name` is unique. Copy any folder_id verbatim from a browse_documents()/get_folder_structure() response, never construct one."
    },
    "wait_for_completion": {
      "type": "boolean",
      "default": false,
      "description": "If true and document is processing, automatically wait up to 3 minutes until completed. Reduces repeated tool calls."
    }
  }
}
    arguments 37 lines
  • get_document_image reads auth-required 6h ago

    Retrieve an image from a document — pass an `image_path` from a `get_page_content()` response: either an embedded image (from a content block) or a full rendered page (from the `page_images` array, useful when a page is scanned or its meaning depends on visual layout). Returns the image as an MCP image content block (base64 data + MIME type). Do NOT repeat the raw base64 value in your text response.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "image_path"
  ],
  "properties": {
    "folder_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "description": "Disambiguator when the document name inside image_path is not unique (e.g. two documents in different folders share the same name). Copy the `folder_id` of the intended document from a browse/search result; use \"root\" for root-level documents, or \"shared-with-me\"/\"following\" to pin one of the read-only library-root folders; omit if the name is unique. Copy any folder_id verbatim from a browse_documents()/get_folder_structure() response, never construct one."
    },
    "image_path": {
      "type": "string",
      "minLength": 1,
      "description": "An image_path from a get_page_content() response, passed back exactly as returned — never constructed or modified. Two sources: an embedded image_path (or img_path) on a content block, or a full-page image_path from the page_images array (format \"<doc_name>/_page_images/page-<N>.jpg\")."
    }
  }
}
    arguments 25 lines
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