How do I get a Nutshell API Key?

Log in to Nutshell, go to Settings > API Keys, and click 'Create New API Key'. You'll need to use this key as your password for authentication.

What is Universal Search?

Universal Search allows you to search across Leads, Contacts, and Accounts at the same time using a single keyword or phrase, making it much faster to find what you need.

Can I see my custom fields?

Yes! Use the `list_custom_fields` tool to retrieve all the unique data field definitions you have configured in your CRM instance.

Nutshell CRM MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Nutshell CRM
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

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 Nutshell CRM "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Nutshell CRM?"
    )
    print(result.data)

asyncio.run(main())

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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 Nutshell CRM MCP Server

Connect your Nutshell CRM account to your AI agent and take control of your sales pipeline and customer relationships through natural conversation using their JSON-RPC API.

Pydantic AI validates every Nutshell CRM tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Lead Management — List and search for sales leads, and retrieve complete metadata, values, and pipeline stages.
Relationship Tracking — Access your entire database of individual contacts and business accounts with deep profile inspection.
Activity Monitoring — View a list of all tasks, calls, and meetings, and browse through available activity types.
Universal Search — Perform a global keyword search across leads, contacts, and accounts simultaneously.
Custom Data Access — Retrieve definitions for all custom fields configured in your Nutshell instance.
Deep Inspection — Fetch complete metadata for specific records using their unique IDs.

The Nutshell CRM MCP Server exposes 10 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 Nutshell CRM to Pydantic AI via MCP

Follow these steps to integrate the Nutshell CRM 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 10 tools from Nutshell CRM with type-safe schemas

Why Use Pydantic AI with the Nutshell CRM MCP Server

Pydantic AI provides unique advantages when paired with Nutshell CRM 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 Nutshell CRM integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Nutshell CRM connection logic from agent behavior for testable, maintainable code

Nutshell CRM + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Nutshell CRM MCP Server delivers measurable value.

Type-safe data pipelines: query Nutshell CRM with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Nutshell CRM tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Nutshell CRM and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Nutshell CRM responses and write comprehensive agent tests

Nutshell CRM MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Nutshell CRM to Pydantic AI via MCP:

get_account_details

Get specific account info

get_contact_details

Get specific contact details

get_lead_details

Get specific lead info

list_accounts

Find and list business accounts

list_activities

List CRM activities

list_activity_types

g. Phone Call, Email) available for logging. List available activity types

list_contacts

Find and list people/contacts

list_custom_fields

List CRM custom fields

list_leads

Find and list CRM leads

universal_search

Search across all entities

Example Prompts for Nutshell CRM in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Nutshell CRM immediately.

"List my most recent sales leads."

"Search for any contact or lead related to 'Dunder Mifflin'."

"What are my upcoming activities and meetings?"

Troubleshooting Nutshell CRM MCP Server with Pydantic AI

Common issues when connecting Nutshell CRM to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Nutshell CRM + Pydantic AI FAQ

Common questions about integrating Nutshell CRM 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 Nutshell CRM MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.