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Pipedrive CRM (Full) MCP Server for LangChain 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Pipedrive CRM (Full) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
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-crm-full": {
            "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 CRM (Full), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Pipedrive CRM (Full)
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 Pipedrive CRM (Full) 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 CRM (Full) 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 CRM (Full) 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 CRM (Full) to LangChain via MCP

Follow these steps to integrate the Pipedrive CRM (Full) MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 11 tools from Pipedrive CRM (Full) via MCP

Why Use LangChain with the Pipedrive CRM (Full) MCP Server

LangChain provides unique advantages when paired with Pipedrive CRM (Full) through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Pipedrive CRM (Full) MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Pipedrive CRM (Full) queries for multi-turn workflows

Pipedrive CRM (Full) + LangChain Use Cases

Practical scenarios where LangChain combined with the Pipedrive CRM (Full) MCP Server delivers measurable value.

01

RAG with live data: combine Pipedrive CRM (Full) tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Pipedrive CRM (Full), synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Pipedrive CRM (Full) tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Pipedrive CRM (Full) tool call, measure latency, and optimize your agent's performance

Pipedrive CRM (Full) MCP Tools for LangChain (11)

These 11 tools become available when you connect Pipedrive CRM (Full) to LangChain via MCP:

01

pd_create_activity

Subject and type are required. Type must be one of: call, meeting, email, task, lunch, deadline. Optionally set due_date (YYYY-MM-DD) and link to deal_id, person_id, or both. Add a note for context. Activities appear in the Pipedrive calendar and task queue. Schedule a sales activity in Pipedrive — a call, meeting, email, task, lunch, or deadline linked to deals or contacts

02

pd_create_deal

Title is required. Optionally specify monetary value, currency (USD/EUR/GBP/etc.), linked person_id and org_id (use search tools to find these), and pipeline/stage placement (use pd_list_pipelines and pd_list_stages to find IDs). If no pipeline is specified, the deal enters the default pipeline at its first stage. Create a new deal in your Pipedrive sales pipeline with title, value, currency, and linked contact/organization

03

pd_create_note

Notes appear in the timeline/history of the linked record. Link to exactly one of: deal_id, person_id, or org_id. Use to log meeting summaries, call notes, or internal context on any CRM record. Create a note in Pipedrive attached to a deal, person, or organization for activity logging

04

pd_create_person

Name is required. Email and phone are optional but recommended for contact management. Link to an existing organization using org_id (use pd_search_organizations to find). Returns the created person with their new Pipedrive ID. Create a new contact (person) in Pipedrive with name, email, phone, and optional organization link

05

pd_list_activities

Returns subject, type (call/meeting/email/task/lunch/deadline), due date, due time, completion status, and linked deal/person. Use when the user asks about upcoming tasks, scheduled meetings, overdue activities, or recent sales activity. List recent Pipedrive activities (calls, meetings, tasks, emails) with due dates, types, and completion status

06

pd_list_pipelines

Returns pipeline name, total deal count, and whether it is active. Most Pipedrive accounts have one default pipeline, but larger teams may have separate pipelines for different sales processes (e.g., New Business vs Renewals). Use to find pipeline IDs before creating deals or filtering by pipeline. List all sales pipelines configured in Pipedrive with their names, deal counts, and order

07

pd_list_stages

Returns stage name, display order, number of deals at each stage, and rotten days (warning threshold). Use to find stage IDs for creating or moving deals, or to understand the sales process flow. List the stages within a Pipedrive pipeline showing stage names, order, deal counts, and win probability

08

pd_search_deals

Returns deal title, monetary value, currency, pipeline stage, pipeline name, linked person (contact), and organization. Use when the user wants to find a specific deal, check pipeline status, look up deal values, or see which stage a deal is in. Search Pipedrive deals by name or keyword to find opportunities in your sales pipeline with value, stage, and contact info

09

pd_search_organizations

Returns org name, address, and associated data. Use when the user wants to find a company, needs org IDs for linking to deals or persons, or wants to look up account details. Search Pipedrive organizations (companies) by name to find accounts in your CRM

10

pd_search_persons

Returns person name, email addresses, phone numbers, and linked organization. Use when the user wants to find a contact, look up someone by email, or get person IDs for linking to deals or activities. Search Pipedrive contacts (persons) by name, email, or phone to find people in your CRM

11

pd_update_deal

Only specified fields are updated. Common use: advance stage_id when a deal progresses, update value after negotiation, or set status to "won"/"lost" to close a deal. Available statuses: open, won, lost, deleted. Update an existing Pipedrive deal — change stage, value, title, or mark as won/lost to reflect pipeline progress

Example Prompts for Pipedrive CRM (Full) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Pipedrive CRM (Full) immediately.

01

"Search for deals with Acme Corp"

02

"Create a call activity for tomorrow at 2pm"

03

"Show me the pipeline stages"

Troubleshooting Pipedrive CRM (Full) MCP Server with LangChain

Common issues when connecting Pipedrive CRM (Full) to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Pipedrive CRM (Full) + LangChain FAQ

Common questions about integrating Pipedrive CRM (Full) MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Pipedrive CRM (Full) to LangChain

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.