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Files and documents · MCP server

PageIndex MCP: MCP server, setup and security

PageIndex MCP is an open-source MCP server published on GitHub that lets an AI agent chat with long PDF documents stored locally or online. Its repository has 404 stars and its last commit is from July 25, 2026 and it is licensed under MIT.

Actively maintainedSystem access

What PageIndex MCP does

According to its repository: “Reasoning-based RAG system for chatting with long PDFs. Supports local and online files.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. PageIndex MCP is listed under Files and documents, a category of 55 servers in the directory, where it ranks #10 by stars.

Installing and connecting PageIndex MCP

Distribution modes declared in the official MCP registry:

  • npm package (Node.js, usually started with npx)
  • MCPB bundle (one-click install in Claude Desktop)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

Points found for PageIndex MCP:

  • System access: the Files and documents category gives the agent control over files, a terminal, code or a browser. A booby-trapped instruction in content the agent reads (prompt injection) can then turn into an action.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on August 25, 2025, the VectifyAI/pageindex-mcp repository has 404 stars and 52 forks, with 2 open issues. It has more stars than 86% of the servers in the directory. Last change 3 months ago. Version published in the registry: 1.8.2 (July 25, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

MarkitdownMarkitdown : 191.9K191.9KPuterPuter : 43.9K43.9KFilestashFilestash : 14.8K14.8KRevoGrid DataGrid MCPRevoGrid DataGrid MCP : 3.5K3.5KDocling MCPDocling MCP : 777777MCP filesystem serverMCP filesystem server : 692692Haiku.ragHaiku.rag : 636636MuMu : 436436PageIndex MCPPageIndex MCP : 404404
GitHub stars of the most followed servers in the category (log scale); PageIndex MCP in orange. Checked October 25, 2026.

Verdict

PageIndex MCP is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Widely followed: 404 stars
  • Listed in the official MCP registry
  • Permissive licence (MIT)

Avoid if…

  • You cannot isolate the agent (sandbox, container)

Frequently asked questions

How do I install PageIndex MCP?

PageIndex MCP is distributed as npm package (Node.js, usually started with npx) and MCPB bundle (one-click install in Claude Desktop). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of VectifyAI/pageindex-mcp.

Is PageIndex MCP free?

The code is published under the MIT licence and can be used free of charge.

Is PageIndex MCP safe?

Points to watch: system access. Give it minimum rights and approve sensitive actions.

Is it an official server?

Nothing says so: it is a project published by VectifyAI on GitHub. Check who maintains it before giving it access.

What are the alternatives to PageIndex MCP?

In the same category: Markitdown, Puter, Filestash, and RevoGrid DataGrid MCP. Markitdown and Puter score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score