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Vinkius

PandaDoc MCP Server for Google ADK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 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.

Vinkius supports streamable HTTP and SSE.

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_agent",
    instruction=(
        "You help users interact with PandaDoc "
        "using 10 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 automate your document workflows through natural conversation.

Google ADK natively supports PandaDoc as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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

  • Documents — List, create from templates, send for signature, check status, and track viewed/completed/declined documents
  • Templates — Browse all available document templates (proposals, contracts, NDAs, quotes)
  • E-Signatures — Send documents for signature and monitor signing progress in real time
  • Contacts — Manage recipient contacts with email, name, and company
  • Team — List workspace members and their roles

The PandaDoc MCP Server exposes 10 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.

How to Connect PandaDoc to Google ADK via MCP

Follow these steps to integrate the PandaDoc MCP Server with Google ADK.

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 10 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

PandaDoc MCP Tools for Google ADK (10)

These 10 tools become available when you connect PandaDoc to Google ADK via MCP:

01

pandadoc_create_contact

Email is required. Once created, patients can be used as recipients in document creation. Returns the created contact with their PandaDoc ID. Create a new contact in PandaDoc with email, name, and company for use as a document recipient

02

pandadoc_create_document

templateId is required (use pandadoc_list_templates to find). Recipients array must include at least email and optionally first_name, last_name, and role (matching template roles). The document is created in "uploaded" status and transitions to "draft" within 3-5 seconds. Fields is an optional JSON object to pre-fill template tokens/variables. Create a new PandaDoc document from a template with recipients, custom fields, and pricing — ready to send for signature

03

pandadoc_delete_document

This is irreversible. Only documents in draft or voided status should typically be deleted. Completed/signed documents should be voided first if deletion is required for compliance reasons. Permanently delete a PandaDoc document — this action cannot be undone and removes the document from all views

04

pandadoc_document_status

Returns current status, last viewed/completed dates, and recipient progress. Use for tracking: "has the client signed?", "did they view it?", or status polling after sending. Check the current status of a PandaDoc document — whether it is draft, sent, viewed, completed, or declined

05

pandadoc_get_document

Returns document name, status, all recipients with their signing status, template reference, pricing table totals, custom field values, and metadata. Use after listing documents to drill into a specific document for complete information. Get complete details of a specific PandaDoc document by ID, including recipients, fields, tokens, pricing, and audit trail

06

pandadoc_list_contacts

Returns contact name, email, company, and metadata. Contacts are the people your organization sends documents to. Use when the user asks about recipients, needs to find a contact email, or wants to review the contact database. List PandaDoc contacts with names, emails, companies, and associated document history

07

pandadoc_list_documents

Filter by status: draft (not yet sent), sent (awaiting signatures), completed (fully signed), viewed (opened by recipient), paid, voided, or declined. Returns document name, template used, status, total value, owner email, and dates. Use when the user asks about document pipeline, pending signatures, or completed agreements. List PandaDoc documents with name, status (draft/sent/completed/viewed/paid/voided/declined), creation date, and recipient info

08

pandadoc_list_members

Returns member name, email, role, and status. Use when the user asks about team members, document ownership, or needs to audit workspace access. List workspace members (users) in your PandaDoc organization with their email, role, and access level

09

pandadoc_list_templates

Returns template name, UUID (needed for pandadoc_create_document), creation date, and folder. Templates are reusable document blueprints with pre-defined layouts, fields, and recipient roles. Use when the user asks "what templates do we have?" or needs a template ID before creating a document. List all PandaDoc templates available for document creation — proposals, contracts, agreements, NDAs, and more

10

pandadoc_send_document

This triggers email notifications to all recipients. Set silent=true to suppress emails (useful when embedding signing in your own app). An optional message can be included in the notification email. The document moves to "sent" status after this call. Send a PandaDoc document for signature — transitions it from draft to sent and notifies all recipients via email

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

"Show me all proposals waiting for signature"

02

"Create a new NDA for Jane Doe at Global Solutions."

03

"Did Acme Corp sign the contract I sent yesterday?"

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.

Connect PandaDoc to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.