3,400+ MCP servers ready to use
Vinkius

PandaDoc MCP Server for Google ADKGive Google ADK instant access to 11 tools to Create Document, Create Signing Session, Delete Document, and more

Built by Vinkius GDPR 11 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add PandaDoc as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this App Connector for Google ADK

The PandaDoc app connector for Google ADK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="pandadoc_alternative_agent",
    instruction=(
        "You help users interact with PandaDoc "
        "using 11 available tools."
    ),
    tools=[mcp_tools],
)
PandaDoc
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About PandaDoc MCP Server

Connect your PandaDoc account to any AI agent and take full control of your document orchestration and e-signature workflows through natural conversation. PandaDoc provides a premier platform for creating, sending, and tracking business documents, and this integration allows you to retrieve document metadata, monitor signature statuses, and generate new contracts directly from your chat interface.

Google ADK natively supports PandaDoc as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Document & Signature Orchestration — List all managed documents and retrieve detailed status metadata programmatically to ensure your sales closing is always synchronized.
  • Template Lifecycle Management — Access and monitor your centralized template library and retrieve detailed metadata for dynamic field mapping directly from the AI interface.
  • Contract & Proposal Control — Create new documents from existing templates and send them to multiple recipients with personalized messages via natural language.
  • Embedded Signing Intelligence — Generate embedded signing sessions for real-time customer signatures and retrieve direct download links for final PDFs using simple AI commands.
  • Operational Monitoring — Track system responses and manage document folders to ensure your administrative workflows are always optimized.

The PandaDoc MCP Server exposes 11 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 PandaDoc tools available for Google ADK

When Google ADK connects to PandaDoc through Vinkius, your AI agent gets direct access to every tool listed below — spanning pandadoc, e-signature, document-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_document

Requires a JSON string containing "template_uuid" and "recipients" list. Use this to initiate the document creation process. Create a new PandaDoc document

create_signing_session

Create an embedded signing session

delete_document

Delete a PandaDoc document

get_document_details

Essential for tracking the progress of an individual signature request. Get details for a specific document

get_download_link

Get the download link for a completed document

get_template_details

Get details for a specific template

list_contacts

List all contacts in PandaDoc

list_documents

Supports searching by query (q) and filtering by status (e.g., document.draft, document.sent). Useful for monitoring the status of multiple agreements. List all PandaDoc documents

list_folders

Useful for navigating the account structure. List document organization folders

list_templates

Essential for obtaining the template IDs required for document creation. List all document templates

send_document

Can include an optional message to be sent in the notification email. Send a document for signing

Connect PandaDoc to Google ADK via MCP

Follow these steps to wire PandaDoc into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 11 tools from PandaDoc via MCP

Why Use Google ADK with the PandaDoc MCP Server

Google ADK provides unique advantages when paired with PandaDoc through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with PandaDoc

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine PandaDoc tools with BigQuery, Vertex AI, and Cloud Functions

PandaDoc + Google ADK Use Cases

Practical scenarios where Google ADK combined with the PandaDoc MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query PandaDoc and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine PandaDoc tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query PandaDoc regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including PandaDoc

Example Prompts for PandaDoc in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with PandaDoc immediately.

01

"List all my PandaDoc documents and their statuses."

02

"Send the contract document doc_3847 to the client for electronic signature."

03

"List all available document templates I can use to create new proposals."

Troubleshooting PandaDoc MCP Server with Google ADK

Common issues when connecting PandaDoc to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

PandaDoc + Google ADK FAQ

Common questions about integrating PandaDoc MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.