Pipedrive Contacts MCP Server for LangChain 11 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Pipedrive Contacts through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"pipedrive-contacts": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Pipedrive Contacts, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Contacts MCP Server
Connect Pipedrive CRM to any AI agent — manage your entire sales pipeline without switching tabs.
LangChain's ecosystem of 500+ components combines seamlessly with Pipedrive Contacts through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 Contacts MCP Server exposes 11 tools through the Vinkius. Connect it to LangChain 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 Contacts to LangChain via MCP
Follow these steps to integrate the Pipedrive Contacts MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 11 tools from Pipedrive Contacts via MCP
Why Use LangChain with the Pipedrive Contacts MCP Server
LangChain provides unique advantages when paired with Pipedrive Contacts through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Pipedrive Contacts MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Pipedrive Contacts queries for multi-turn workflows
Pipedrive Contacts + LangChain Use Cases
Practical scenarios where LangChain combined with the Pipedrive Contacts MCP Server delivers measurable value.
RAG with live data: combine Pipedrive Contacts tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Pipedrive Contacts, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Pipedrive Contacts tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Pipedrive Contacts tool call, measure latency, and optimize your agent's performance
Pipedrive Contacts MCP Tools for LangChain (11)
These 11 tools become available when you connect Pipedrive Contacts to LangChain via MCP:
pd_create_org
Name is required. Address is optional. Once created, persons and deals can be linked to this organization. Returns the created org with its new Pipedrive ID. Create a new organization (company/account) in Pipedrive with name and address
pd_create_person
Name is required. Link to an existing organization via org_id (use pd_search_orgs to find). Pipedrive supports multiple emails and phones per person — here a single value is accepted for simplicity. Returns the created person with their new ID. Create a new contact (person) in Pipedrive with name, email, phone, and optional organization link
pd_delete_person
Use only when the user explicitly wants to delete a contact. Consider whether the contact should remain in the system for historical deal tracking before deleting. Permanently delete a contact from Pipedrive — this action cannot be undone
pd_get_org
Returns org name, address, open/won/lost deal counts, number of people linked, and all custom fields. Use after searching to drill into a specific company for full details. Get complete details of a specific Pipedrive organization by ID, including address, deal stats, and custom fields
pd_get_person
Returns full contact data: name, all emails, all phones, organization, open/won/lost deal counts, activities count, and custom fields. Use after searching to drill into a specific contact. Get complete details of a specific Pipedrive contact by ID, including all custom fields and activity history
pd_list_persons
Returns names, emails, phones, and linked orgs. Use for contact directory browsing, headcount analysis, or when the user wants to see all people in the CRM. List all contacts in Pipedrive with names, emails, phones, and organization associations
pd_person_deals
Returns deal titles, values, stages, and statuses. Use when the user asks "what deals does this person have?" or wants to see the full sales relationship history for a contact. Get all deals linked to a specific contact person to see their sales history and active opportunities
pd_search_orgs
Returns org name, address, and associated data. Use when the user asks about a company, needs org IDs for linking to persons or deals, or wants to look up account information. Search Pipedrive organizations (companies/accounts) by name to find business entities in your CRM
pd_search_persons
Returns name, email addresses, phone numbers, and linked organization. Use when the user wants to find a specific person, look up contact info by email, or get person IDs for linking to deals or activities. Search Pipedrive contacts by name, email, or phone to find people in your CRM with their organization links
pd_update_org
Only specified fields change. Use when the user wants to correct company info, update the address, or rename an account. Update an existing Pipedrive organization — change name, address, or other properties
pd_update_person
Only specified fields are changed. Use when the user wants to correct contact details, update a phone number, or change the associated organization. Update an existing Pipedrive contact — change name, email, phone, or other properties
Example Prompts for Pipedrive Contacts in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Pipedrive Contacts immediately.
"Search for deals with Acme Corp"
"Create a call activity for tomorrow at 2pm"
"Show me the pipeline stages"
Troubleshooting Pipedrive Contacts MCP Server with LangChain
Common issues when connecting Pipedrive Contacts to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersPipedrive Contacts + LangChain FAQ
Common questions about integrating Pipedrive Contacts MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Pipedrive Contacts with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 Contacts to LangChain
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.