Pipedrive Contacts MCP Server for Pydantic AI 11 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Pipedrive Contacts through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Pipedrive Contacts "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in Pipedrive Contacts?"
)
print(result.data)
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.
Pydantic AI validates every Pipedrive Contacts tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Pipedrive Contacts MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 11 tools from Pipedrive Contacts with type-safe schemas
Why Use Pydantic AI with the Pipedrive Contacts MCP Server
Pydantic AI provides unique advantages when paired with Pipedrive Contacts through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Pipedrive Contacts integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Pipedrive Contacts connection logic from agent behavior for testable, maintainable code
Pipedrive Contacts + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Pipedrive Contacts MCP Server delivers measurable value.
Type-safe data pipelines: query Pipedrive Contacts with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Pipedrive Contacts tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Pipedrive Contacts and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Pipedrive Contacts responses and write comprehensive agent tests
Pipedrive Contacts MCP Tools for Pydantic AI (11)
These 11 tools become available when you connect Pipedrive Contacts to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Pipedrive Contacts to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiPipedrive Contacts + Pydantic AI FAQ
Common questions about integrating Pipedrive Contacts MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Pipedrive Contacts 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.
Python SDK for building production-grade OpenAI agent workflows.
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 Contacts to Pydantic AI
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.