Pandadoc MCP server
{
"mcpServers": {
"pandadoc": {
"type": "http",
"url": "https://mcp.pandadoc.com/v1/mcp"
}
}
}{
"mcpServers": {
"pandadoc": {
"type": "http",
"url": "https://mcp.pandadoc.com/v1/mcp"
}
}
}{
"mcpServers": {
"pandadoc": {
"type": "http",
"url": "https://mcp.pandadoc.com/v1/mcp"
}
}
}{
"servers": {
"pandadoc": {
"type": "http",
"url": "https://mcp.pandadoc.com/v1/mcp"
}
}
}{
"mcpServers": {
"pandadoc": {
"type": "http",
"url": "https://mcp.pandadoc.com/v1/mcp"
}
}
}file .mcp.json (in your project root)file claude_desktop_config.jsonfile ~/.cursor/mcp.jsonfile .vscode/mcp.jsonfile ~/.codeium/windsurf/mcp_config.jsonversion 1.0.0
What it does
This MCP server integrates PandaDoc's document management capabilities with LLM applications and agent frameworks. It enables AI assistants to create, send, sign, and track PandaDoc documents programmatically through a remote OAuth-authenticated connection.
- Create and send document templates from Claude or other LLM interfaces without leaving the chat
- Track document status and recipient interactions for agreements or contracts in real time
- Generate and manage signed documents through AI-driven workflows
Before you enable it
An MCP server runs with whatever access you give it. Start with a development account rather than production, and check which tools the server exposes before you let an agent call them unattended.