Power your agent
The publisher's own URL. Not a PlugMCP endpoint.
Host a copy with our keys and logs.
https://mcp.pandadoc.com/v1/mcpThe Claude button above opens Claude with the name and URL filled in. You still confirm it there.
claude mcp add --transport http com.pandadoc.mcp-mcp https://mcp.pandadoc.com/v1/mcpRun in a terminal.
{ "mcpServers": { "com.pandadoc.mcp-mcp": { "command": "npx", "args": [ "-y", "mcp-remote", "https://mcp.pandadoc.com/v1/mcp" ] } }}claude_desktop_config.json
Remote URL or a command on your machine? How the two installs differ
Run on PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
LaunchFrom the publisher
AI drafts it. PandaDoc makes it real.
Check document status, see who's signed, and understand your agreements. When you need a new one, create it from a template and send it for signature — right from your AI assistant.
Official PandaDoc MCP server and AI plugins · Hosted by PandaDoc · OAuth sign-in
PandaDoc MCP server for creating, sending, signing, and tracking PandaDoc documents.
Use the AI assistant you already work with to find answers and take action in your PandaDoc account.
Your assistant combines the available PandaDoc tools to carry out your request. PandaDoc handles document delivery, e-signatures, and status tracking.
Choose your assistant, follow its setup steps, then sign in to PandaDoc. For your first request, try: “Show me my five most recently updated documents.”
Connect it to the hosted PandaDoc MCP server using Streamable HTTP and OAuth. PandaDoc hosts the server; you do not need to run one locally.
Use the endpoint for your account's region. See the MCP setup guide and supported clients.
Sign in with PandaDoc. During authorization, select your workspace and choose what your assistant can access. The manual setup examples below use the global server URL. For a European account, follow the regional setup instructions.
Connect the PandaDoc app for ChatGPT to work with your documents directly in a conversation.
For European accounts, connect through a custom MCP server as described in the PandaDoc ChatGPT setup guide. The app directory listing connects to the global region.
Open Customize → Connectors → + → Add custom connector.
Enter PandaDoc as the name and this server URL:
https://mcp.pandadoc.com/v1/mcp
Select Add, then Connect.
Complete PandaDoc authorization in your browser, then choose Open Claude to return to the app.
PandaDoc should appear in your connected tools. Start a conversation and ask about a document.
The PandaDoc Claude plugin includes the connector, guided document workflows, and a session-start overview of the available skills. It works in the terminal, the Code tab in Claude Desktop, IDE extensions, and Claude Code on the web.
Add the PandaDoc plugin marketplace:
/plugin marketplace add PandaDoc/mcp-server-guide
Install the plugin:
/plugin install pandadoc@pandadoc
Run /mcp, select PandaDoc, and complete authorization. In the desktop app or IDE, select Connect on the plugin's PandaDoc connector.
Type / to browse the skills, or describe your task.
Use /plugin marketplace update to refresh the marketplace when updating the plugin.
Run this command in your terminal:
claude mcp add pandadoc --transport http https://mcp.pandadoc.com/v1/mcp
Start claude, run /mcp, and select PandaDoc to authorize. Return to /mcp after signing in to confirm the server is connected.
Open the command palette with ⌘⇧P on macOS or Ctrl+Shift+P on Windows/Linux.
Select View: Open MCP Settings → Tools & MCPs → New MCP Server.
Add PandaDoc to the mcpServers object in the configuration file:
{
"mcpServers": {
"pandadoc": {
"url": "https://mcp.pandadoc.com/v1/mcp"
}
}
}
Save the file, return to Tools & MCPs, and select Authenticate.
Complete PandaDoc authorization in your browser, then return to Cursor.
Keep your existing entries and add pandadoc alongside them, with a comma between entries:
{
"mcpServers": {
"existing-server": {
"url": "https://mcp.example.com/mcp"
},
"pandadoc": {
"url": "https://mcp.pandadoc.com/v1/mcp"
}
}
}
In Codex desktop, open Settings → Settings → MCP servers → + Add server.
Enter PandaDoc, select Streamable HTTP, and use this URL:
https://mcp.pandadoc.com/v1/mcp
Select Save, then Authenticate beside the new server.
Complete PandaDoc authorization in your browser and return to Codex.
https://mcp.pandadoc.com/v1/mcp and use PandaDoc as the server ID.Install or update the Cline CLI:
npm install -g cline
Start the connection wizard:
cline mcp add pandadoc --transport streamable-http https://mcp.pandadoc.com/v1/mcp
Review the prefilled details and complete the wizard.
Complete PandaDoc authorization in your browser, then return to Cline and check that the server is connected.
Run cline mcp to manage the connection later.
Run the setup wizard:
opencode mcp add
Use these values when prompted:
Sign in to PandaDoc:
opencode mcp auth pandadoc
Complete authorization in your browser. Start opencode and run /mcp to confirm PandaDoc is connected.
Install the PandaDoc extension from this repository:
gemini extensions install https://github.com/PandaDoc/mcp-server-guide
Follow the installation prompts and complete PandaDoc authorization when requested.
Install the Google Antigravity plugin with the PandaDoc connector and document workflows:
agy plugin install https://github.com/PandaDoc/mcp-server-guide
Open Customizations, select Authenticate beside PandaDoc, and authorize access. Paste the authorization code into the panel when prompted.
Use a slash command such as /pandadoc-nda-fast-send, or describe your task. Antigravity reads the connector configuration from mcp_config.json.
https://github.com/PandaDoc/mcp-server-guide and select Install.Install the PandaDoc plugin, connect the hosted server, and sign in:
openclaw plugins install clawhub:@pandadoc/pandadoc
openclaw mcp set pandadoc '{"url":"https://mcp.pandadoc.com/v1/mcp","transport":"streamable-http","auth":"oauth"}'
openclaw mcp login pandadoc
openclaw mcp doctor pandadoc --probe
Complete PandaDoc authorization in your browser. Start a new agent session to use the included skills.
PandaDoc plugins include guided workflows called skills. They help your assistant check the details, work through a task, and ask for confirmation before sending a document. Availability depends on your client's support for plugin skills.
Sign-in connects your assistant to the PandaDoc workspace you select. Actions follow the access you grant and your existing PandaDoc permissions.
Requests go to PandaDoc. Returned document content becomes part of your assistant's conversation and may be processed by its configured model provider. Sending a document can notify its recipients.
PandaDoc document and operation limits apply when using the connector. See API rate limits for details.
© 2026 MCP Directory.
PandaDoc MCP server for creating, sending, signing, and tracking PandaDoc documents.
{ "mcpServers": { "com.pandadoc.mcp-mcp": { "url": "https://mcp.pandadoc.com/v1/mcp", "headers": {} } }}Tools
No tool list yet. Remote servers get one after the first health check.
FAQ
Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
No required environment variable is listed on this record.
PandaDoc MCP Server is reached over HTTP.
Last checked 2026-11-08. PandaDoc MCP server for creating, sending, signing, and tracking PandaDoc documents.