Pipedrive Products MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Pipedrive Products as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Pipedrive Products. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Pipedrive Products?"
)
print(response)
asyncio.run(main())
* 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 Pipedrive Products MCP Server
Connect Pipedrive CRM to any AI agent — manage your entire sales pipeline without switching tabs.
LlamaIndex agents combine Pipedrive Products tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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
The Pipedrive Products MCP Server exposes 8 tools through the Vinkius. Connect it to LlamaIndex 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 Pipedrive Products to LlamaIndex via MCP
Follow these steps to integrate the Pipedrive Products MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from Pipedrive Products
Why Use LlamaIndex with the Pipedrive Products MCP Server
LlamaIndex provides unique advantages when paired with Pipedrive Products through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Pipedrive Products tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Pipedrive Products tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Pipedrive Products, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Pipedrive Products tools were called, what data was returned, and how it influenced the final answer
Pipedrive Products + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Pipedrive Products MCP Server delivers measurable value.
Hybrid search: combine Pipedrive Products real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Pipedrive Products to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Pipedrive Products for fresh data
Analytical workflows: chain Pipedrive Products queries with LlamaIndex's data connectors to build multi-source analytical reports
Pipedrive Products MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Pipedrive Products to LlamaIndex via MCP:
pd_add_product_to_deal
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
pd_create_product
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
pd_deal_products
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
pd_deal_subscriptions
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
pd_get_product
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
pd_list_products
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
pd_search_products
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
pd_update_product
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
Example Prompts for Pipedrive Products in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Pipedrive Products immediately.
"Search for deals with Acme Corp"
"Create a call activity for tomorrow at 2pm"
"Show me the pipeline stages"
Troubleshooting Pipedrive Products MCP Server with LlamaIndex
Common issues when connecting Pipedrive Products to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPipedrive Products + LlamaIndex FAQ
Common questions about integrating Pipedrive Products MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Pipedrive Products with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
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Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Pipedrive Products to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.