Overview
Use natural language to explore the PandaDoc API and speed up building. Ask questions, see code examples, or connect your PandaDoc account to your LLM tools to automate document workflows like searching, creating, sending, and tracking.
What is the Model Context Protocol (MCP)?
Model Context Protocol (MCP) is an open standard that connects AI systems with external applications. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various accessories, MCP provides a standardized way to connect AI agents to different services.
The PandaDoc MCP
The PandaDoc MCP is PandaDoc's official Model Context Protocol server — a bridge that lets AI assistants and LLM-powered clients (Claude, Cursor, ChatGPT , custom agents, etc.) securely interact with a user's PandaDoc workspace through a standardized, tool-based interface.
Instead of each AI client re-implementing the PandaDoc REST API, MCP exposes PandaDoc's core document and template operations as well-described tools that any MCP-compatible client can discover and invoke.
What you can do with PandaDoc MCP
See the full Prompt Library for more categories and examples.
| Use Case | Example Instruction |
|---|---|
| Create documents | "Create a new contract from the Master Services Agreement template for Acme Corp with a $50,000 contract value." |
| Track status | "Find all documents currently waiting for signatures, showing recipient names and how long they've been pending." |
| Send reminders | "Send reminder emails to all recipients who haven't signed in the last 7 days." |
| Search & filter | "Show me all contracts worth more than $100,000 that were signed last quarter." |
| Analytics | "Create a report showing document completion rates by month and average signing time." |
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