How to Use the PandaDoc MCP in Google ADK
Connect PandaDoc to Google ADK to manage enterprise document lifecycles.
Works with every AI agent you already use
…and any MCP-compatible client
Connect PandaDoc MCP to Google ADK
Create your Vinkius account to connect PandaDoc to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Key Capabilities
Automate document creation in Google ADK
Use `create_document` to generate agreements from your existing templates. Your agent maps CRM data to document fields with precision. After the document is generated, the agent uses `create_signing_session` to initiate the workflow. This removes the manual overhead of preparing individual sales assets.
Organize files using this MCP Server
Your agent calls `list_folders` to navigate your PandaDoc structure. It locates the correct directory for new contracts before saving them. This keeps your account clean as your volume increases. The agent organizes everything based on the parameters you define in your agent code.
Retrieve signed assets via Google ADK
Once a document is signed, your agent triggers `get_download_link`. It fetches the final file and stores it in your preferred cloud location. This ensures you have a local copy of every executed contract. The entire process happens without you needing to open the web dashboard.
Set up PandaDoc MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with PandaDoc tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="PandaDoc_agent",
model="gemini-2.0-flash",
instruction="You have access to PandaDoc tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by PandaDoc. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about PandaDoc MCP in Google ADK
Use it with your favorite AI tools
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Start using the PandaDoc MCP today
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