What Pipedrive data can I access?

Deals, Persons, Organizations, Activities, Notes, and Pipelines. All data respects your Pipedrive permissions.

Can I create and update records?

Yes! Create and update deals, contacts, activities, and notes — all through natural conversation.

How does authentication work?

Uses your personal Pipedrive API token. Find it in Settings > Personal preferences > API. No OAuth flow needed.

Pipedrive Admin & Settings MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Pipedrive Admin & Settings
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Pipedrive Admin & Settings through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Admin & Settings "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Pipedrive Admin & Settings?"
    )
    print(result.data)

asyncio.run(main())

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* 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 Admin & Settings MCP Server

Connect Pipedrive CRM to any AI agent — manage your entire sales pipeline without switching tabs.

Pydantic AI validates every Pipedrive Admin & Settings tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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 Admin & Settings MCP Server exposes 8 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 Admin & Settings to Pydantic AI via MCP

Follow these steps to integrate the Pipedrive Admin & Settings 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 8 tools from Pipedrive Admin & Settings with type-safe schemas

Why Use Pydantic AI with the Pipedrive Admin & Settings MCP Server

Pydantic AI provides unique advantages when paired with Pipedrive Admin & Settings 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 Admin & Settings 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 Admin & Settings connection logic from agent behavior for testable, maintainable code

Pipedrive Admin & Settings + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Pipedrive Admin & Settings MCP Server delivers measurable value.

Type-safe data pipelines: query Pipedrive Admin & Settings with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Pipedrive Admin & Settings tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Pipedrive Admin & Settings and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Pipedrive Admin & Settings responses and write comprehensive agent tests

Pipedrive Admin & Settings MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Pipedrive Admin & Settings to Pydantic AI via MCP:

pd_deal_files

Get files attached to a deal

pd_get_user

Get user details

pd_list_currencies

List currencies

pd_list_deal_fields

List deal custom fields

pd_list_files

List recent files

pd_list_goals

List sales goals

pd_list_users

List Pipedrive users

pd_list_webhooks

List webhooks

Example Prompts for Pipedrive Admin & Settings in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Pipedrive Admin & Settings immediately.

"Search for deals with Acme Corp"

"Create a call activity for tomorrow at 2pm"

"Show me the pipeline stages"

Troubleshooting Pipedrive Admin & Settings MCP Server with Pydantic AI

Common issues when connecting Pipedrive Admin & Settings to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Pipedrive Admin & Settings + Pydantic AI FAQ

Common questions about integrating Pipedrive Admin & Settings MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Pipedrive Admin & Settings MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.