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

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Pipedrive CRM (Full) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
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 CRM (Full). "
            "You have 11 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Pipedrive CRM (Full)?"
    )
    print(response)

asyncio.run(main())
Pipedrive CRM (Full)
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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.

LlamaIndex agents combine Pipedrive CRM (Full) tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through 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 CRM (Full) MCP Server exposes 11 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 CRM (Full) to LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 11 tools from Pipedrive CRM (Full)

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

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

01

Data-first architecture: LlamaIndex agents combine Pipedrive CRM (Full) tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Pipedrive CRM (Full) tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Pipedrive CRM (Full), a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Pipedrive CRM (Full) tools were called, what data was returned, and how it influenced the final answer

Pipedrive CRM (Full) + LlamaIndex Use Cases

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

01

Hybrid search: combine Pipedrive CRM (Full) real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Pipedrive CRM (Full) to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Pipedrive CRM (Full) for fresh data

04

Analytical workflows: chain Pipedrive CRM (Full) queries with LlamaIndex's data connectors to build multi-source analytical reports

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

These 11 tools become available when you connect Pipedrive CRM (Full) to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Pipedrive CRM (Full) + LlamaIndex FAQ

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

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Pipedrive CRM (Full) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Pipedrive CRM (Full) to LlamaIndex

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