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.
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
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.