Neyvia PDF Studio

Neyvia PDF Studio

Interactive PDF workspace shared by a human operator and an AI agent, enabling navigation, search, text extraction, annotations, form filling, and save actions via a PDF.js viewer.

Category
Visit Server

README

Neyvia PDF Studio

Neyvia PDF Studio is an interactive PDF workspace shared by a human operator and an AI agent. It is packaged as an independent MCP App, so the viewer can render inside compatible hosts while structured operations remain available to agents.

This repository deliberately packages the maintained official MCP Apps PDF server instead of forking its viewer. Neyvia owns the product manifest, version pin, runtime entry point, tests, and Marketplace lifecycle; the PDF rendering and annotation engine stays aligned with the upstream implementation.

Capabilities

  • Interactive PDF.js viewer with host theme and fullscreen support.
  • Agent navigation, search, text extraction, screenshots, annotations, form filling, and save actions.
  • Chunked PDF transfer for hosts with tool-response size limits.
  • Local access bounded to explicit client roots.
  • Writes bounded to a writable mounted root and an explicit save action.
  • No credential requirement.

Run

Node 22.22.3 or newer is required.

npm install
npx neyvia-pdf-app --stdio

Neyvia Marketplace reads .neyvia/app.json. Other MCP clients can launch the same stdio command:

{
  "mcpServers": {
    "neyvia-pdf": {
      "command": "npx",
      "args": ["-y", "neyvia-app-pdf", "--stdio"]
    }
  }
}

Verify

npm ci
npm test
npm run pack:check

The integration test starts the real server, completes an MCP handshake, and checks the five PDF operations. It does not substitute a mock server.

Upstream

The runtime is pinned to @modelcontextprotocol/server-pdf@1.7.5, from the official modelcontextprotocol/ext-apps repository. See NOTICE.md for attribution.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured