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PopNx MCPMCP servers for people who use AI · explained in plain words

PandaDoc

by mindstoneversion 0.3.0i★ –iRuns on your computer
Registry nameio.github.mindstone/mcp-server-pandadoc

Install

Overview

Description from the maker (original English)

PandaDoc document automation MCP server for Model Context Protocol hosts

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Docs, sheets & office work
  • You need to fill in: PANDADOC_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: PANDADOC_API_KEY, MCP_WORKSPACE_PATH

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "pandadoc": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-pandadoc"
      ],
      "env": {
        "PANDADOC_API_KEY": "your-value",
        "MCP_WORKSPACE_PATH": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add pandadoc --env PANDADOC_API_KEY=your-value --env MCP_WORKSPACE_PATH=your-value -- npx -y @mindstone/mcp-server-pandadoc

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "pandadoc": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-pandadoc"
      ],
      "env": {
        "PANDADOC_API_KEY": "your-value",
        "MCP_WORKSPACE_PATH": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "pandadoc": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-pandadoc"
      ],
      "env": {
        "PANDADOC_API_KEY": "your-value",
        "MCP_WORKSPACE_PATH": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • PANDADOC_API_KEY secret required env
    PandaDoc API key (from Developer Dashboard)
  • MCP_WORKSPACE_PATH env
    Workspace directory for document upload sources. Defaults to os.tmpdir() when unset.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account mindstone, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 3531 servers in this category
  • Published to the registry more recently than 24% of the other 3531 servers in this category
  • Basic checks equal to or better than 100% of the other 3531 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is PandaDoc safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: PANDADOC_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@mindstone/mcp-server-pandadoc

PandaDoc document automation MCP server for Model Context Protocol hosts. Create, send, and manage documents, templates, and e-signatures through a standardised MCP interface.

Status

  • Version: 0.3.0 · npm
  • Auth: API key (PANDADOC_API_KEY)
  • Tools: 15 (documents, templates, folders, contacts, content library)
  • Surface: cloud-api
  • Machine-readable: STATUS.json

Requirements

  • Node.js 20+
  • npm

One-click install

After clicking the button, your host will prompt you to fill: PANDADOC_API_KEY.

Manual config for Claude Desktop / Claude Code / Goose / Continue.dev (PandaDoc)

{

"mcpServers": { "PandaDoc": { "command": "npx", "args": [ "-y", "@mindstone/mcp-server-pandadoc" ], "env": { "PANDADOC_API_KEY": "" } } } }

Quick Start

Install & build
cd <path-to-repo>/connectors/pandadoc

npm install npm run build

npx (once published)
npx -y @mindstone/mcp-server-pandadoc
Local
node dist/index.js

Configuration

Environment variables
  • PANDADOC_API_KEY — PandaDoc API key (from Developer Dashboard)
  • MCP_HOST_BRIDGE_STATE — optional path to a host bridge state file used for credential management
  • MINDSTONE_REBEL_BRIDGE_STATE — backwards-compatible alias for MCP_HOST_BRIDGE_STATE

Host configuration examples

Claude Desktop / Cursor
{

"mcpServers": { "PandaDoc": { "command": "npx", "args": ["-y", "@mindstone/mcp-server-pandadoc"], "env": { "PANDADOC_API_KEY": "your-api-key" } } } }

Local development (no npm publish needed)
{

"mcpServers": { "PandaDoc": { "command": "node", "args": [" /connectors/pandadoc/dist/index.js"], "env": { "PANDADOC_API_KEY": "your-api-key" } } } }

Tools (15)

Configuration
  • configure_pandadoc_api_key — Configure the PandaDoc API key
Documents
  • list_documents — List and search PandaDoc documents with filtering
  • get_document_status — Check the current status of a document
  • get_document_details — Get full details for a document
  • create_document_from_template — Create a new document from a template (recipients, tokens, fields, pricing tables, metadata, tags)
  • upload_document — Upload a PDF, DOCX, or RTF file to create a document
  • create_document_from_url — Create a document from a publicly accessible HTTPS PDF URL (the connector DNS-resolves the host and follows redirects before handing PandaDoc the terminal URL, so the URL must be reachable from the machine running the connector)
  • send_document — Send a document to recipients for viewing/signing
  • create_document_session — Create a shareable view/sign link for a document recipient
  • download_document — Download a document as PDF
Templates
  • list_templates — List available PandaDoc templates
Folders & Contacts
  • list_document_folders — List document folders (discover folder UUIDs for create/filter inputs)
  • list_contacts — List workspace contacts (discover recipients)
Content Library
  • list_content_library_items — Search/list reusable content library blocks
  • get_content_library_item_details — Get a content library item's fields, tokens, pricing, and metadata

Licence

FSL-1.1-MIT — Functional Source License, Version 1.1, with MIT future licence. The software converts to MIT licence on 2030-04-08.

Host-authorized local inputs

files/readModes version 1 is an experimental extension used by these connectors, not part of the MCP standard. A compatible host (the app running the connector) decides which input files a tool call may read. The connector opens only the host-approved physical path, after resolving symlinks. The host supplies this permission information with each call; it is not a tool argument you need to set. Missing or invalid permission information, or a file absent from the approved list, stops the read.

Clients that do not negotiate this extension keep the connector's existing standalone file restrictions. This extension changes input-read permissions; existing output destinations, upload formats, size limits and file checks apply.

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