Pipedrive Deals MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Pipedrive Deals as an MCP tool provider through 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 Deals. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Pipedrive Deals?"
)
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 Deals MCP Server
Connect Pipedrive CRM to any AI agent — manage your entire sales pipeline without switching tabs.
LlamaIndex agents combine Pipedrive Deals tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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 Deals MCP Server exposes 12 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 Deals to LlamaIndex via MCP
Follow these steps to integrate the Pipedrive Deals 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 12 tools from Pipedrive Deals
Why Use LlamaIndex with the Pipedrive Deals MCP Server
LlamaIndex provides unique advantages when paired with Pipedrive Deals through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Pipedrive Deals tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Pipedrive Deals tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Pipedrive Deals, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Pipedrive Deals tools were called, what data was returned, and how it influenced the final answer
Pipedrive Deals + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Pipedrive Deals MCP Server delivers measurable value.
Hybrid search: combine Pipedrive Deals real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Pipedrive Deals 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 Deals for fresh data
Analytical workflows: chain Pipedrive Deals queries with LlamaIndex's data connectors to build multi-source analytical reports
Pipedrive Deals MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Pipedrive Deals to LlamaIndex via MCP:
pd_create_deal
Title is required. Use pd_list_pipelines and pd_list_stages to find pipeline_id and stage_id. Link to existing contacts via person_id and org_id (use search tools to find these). Expected close date uses YYYY-MM-DD format. Create a new deal in Pipedrive with title, value, currency, expected close date, and pipeline/stage placement
pd_deal_followers
Followers receive notification updates about deal changes. Use to check who on the team is tracking a deal or to understand deal visibility across the organization. Get internal team members (users) following a specific deal in Pipedrive for visibility tracking
pd_deal_participants
Participants are contacts involved in the deal beyond the primary contact — e.g., decision makers, influencers, legal reviewers. Use when the user asks "who is involved in this deal?" or needs stakeholder information. Get all persons (contacts) participating in a specific Pipedrive deal
pd_deal_timeline
Use for trend analysis: "how many deals were created this month?", "show deal velocity over the last 12 weeks". Interval can be day/week/month, amount is the number of periods to look back. Get deal creation trends over time — how many deals were added per day, week, or month in a pipeline
pd_deals_by_pipeline
Use when the user wants to see all deals in a specific sales process (e.g., "show all deals in the Enterprise pipeline"). Find pipeline IDs using pd_list_pipelines. Get all deals in a specific pipeline for pipeline-level analysis and reporting
pd_deals_by_stage
Returns deals with title, value, persons, and orgs at that stage. Use for questions like "what deals are in Proposal?" or "how much is in Negotiation?". Find stage IDs using pd_list_stages. Get all deals at a specific pipeline stage for bottleneck analysis, forecasting, or stage-specific review
pd_delete_deal
This is permanent and removes all associated data. Consider using pd_update_deal with status="deleted" for soft-delete instead. Use only when the user explicitly wants to permanently remove a deal. Permanently delete a deal from Pipedrive — this action cannot be undone
pd_get_deal
Returns full deal data including title, value, stage, pipeline, linked persons/orgs, expected close date, creation date, and all custom fields. Use after searching to drill into a specific deal. Get the complete details of a specific Pipedrive deal by ID including all custom fields and history
pd_list_pipelines
Use to find pipeline IDs for filtering deals or creating new deals in a specific pipeline. List all sales pipelines in Pipedrive with names, deal counts, and active status
pd_list_stages
Essential for finding stage IDs to create, filter, or move deals. Shows each stage name, its order in the pipeline, and how many deals are at each stage. List stages within a Pipedrive pipeline showing names, display order, and deal counts per stage
pd_search_deals
Returns deal title, monetary value, currency, pipeline stage, pipeline name, linked person, and organization. Use when the user wants to find a specific deal or check pipeline status. Search Pipedrive deals by title or keyword to find opportunities with value, stage, pipeline, and linked contacts
pd_update_deal
Advance stage_id to move deals forward. Set status to "won" or "lost" to close. Update value after negotiation. Only specified fields change. Update a Pipedrive deal — advance stage, change value, or mark as won/lost to reflect pipeline progress
Example Prompts for Pipedrive Deals in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Pipedrive Deals immediately.
"Search for deals with Acme Corp"
"Create a call activity for tomorrow at 2pm"
"Show me the pipeline stages"
Troubleshooting Pipedrive Deals MCP Server with LlamaIndex
Common issues when connecting Pipedrive Deals to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPipedrive Deals + LlamaIndex FAQ
Common questions about integrating Pipedrive Deals 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 Deals with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Deals to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.