Bring Pipeline Management
to Google ADK
Create your Vinkius account to connect Pipedrive Products to Google ADK and start using all 8 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the Pipedrive Products MCP Server?
Connect Pipedrive CRM to any AI agent — manage your entire sales pipeline without switching tabs.
What you can do
- Deals — Search, create, and update deals with pipeline tracking
- Contacts — Find and create persons with email, phone, and organization
- Organizations — Search companies linked to deals and contacts
- Activities — Create calls, meetings, tasks, and emails
- Notes — Attach notes to deals, persons, or organizations
- Pipelines — View all pipeline stages and deal flow
Who is this for?
- Sales Reps — Manage your pipeline without leaving your AI assistant
- SDRs — Quickly create leads, contacts, and activities
- Sales Managers — Pipeline overview and deal insights through conversation
- RevOps — Full CRM visibility and reporting
Built-in capabilities (8)
Requires the deal ID, product ID (use pd_search_products or pd_list_products to find), unit price, and quantity. The line-item total is calculated automatically. Use when the user wants to add a product to a deal, build a quote, or track what is being sold. Attach a product from the catalog to a deal with a specific quantity and unit price for line-item tracking
Name is required. Code serves as the internal SKU/reference. Unit defines how the product is measured (piece, hour, kg, etc.). Tax is the default tax percentage. Products in the catalog can be attached to deals using pd_add_product_to_deal. Create a new product in the Pipedrive catalog with name, code (SKU), unit type, and tax rate
Returns product name, quantity, item price, discount percentage, and total value per line. Use when the user asks "what products are on this deal?", needs to check line-item pricing, or wants to review the deal composition before closing. Get all products attached to a specific deal with quantities, prices, and line-item totals
Returns subscription details including recurring amount, billing cycle, and dates. Subscriptions track ongoing revenue tied to a deal for SaaS/recurring revenue businesses. Use when the user asks about recurring revenue, MRR/ARR, or subscription details on a deal. Get recurring revenue subscriptions linked to a deal — MRR/ARR tracking for subscription-based businesses
Returns full product data including name, prices per currency, code, unit, tax, and custom fields. Use after searching to drill into a specific product for complete details. Get complete details of a specific Pipedrive product by ID including all pricing, tax, and custom fields
Returns product name, unit price, code (SKU), unit type, and whether it is active. Use for product catalog browsing, inventory auditing, or when the user wants to see all available products. List all products in the Pipedrive product catalog with names, prices, codes, and unit information
Returns product name, unit price, product code (SKU), unit type, and tax percentage. Use when the user wants to find a product, check pricing, or needs a product ID before attaching it to a deal. Search Pipedrive products by name to find items in the product catalog with prices, codes, and unit types
Only specified fields change. Use when the user wants to rename a product, update its SKU code, or change pricing information. Update an existing Pipedrive product — change name, code, pricing, or other catalog properties
Why Google ADK?
Google ADK natively supports Pipedrive Products as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Pipedrive Products
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Pipedrive Products tools with BigQuery, Vertex AI, and Cloud Functions
Pipedrive Products in Google ADK
Why run Pipedrive Products with Vinkius?
The Pipedrive Products connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 8 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Pipedrive Products using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Pipedrive Products and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Pipedrive Products to Google ADK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Pipedrive Products for Google ADK
Every request between Google ADK and Pipedrive Products is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
What Pipedrive data can I access?
Deals, Persons, Organizations, Activities, Notes, and Pipelines. All data respects your Pipedrive permissions.
Can I create and update records?
Yes! Create and update deals, contacts, activities, and notes — all through natural conversation.
How does authentication work?
Uses your personal Pipedrive API token. Find it in Settings > Personal preferences > API. No OAuth flow needed.
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.
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.
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.
McpToolset not found
Update: pip install --upgrade google-adk
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