How do I get a Nimble CRM API Key?

Log in to Nimble, go to Settings > API Keys, and click 'Generate New Token'. This key is used for authentication.

Can I search for contacts by email?

Yes! Use the `search_contacts` tool and provide the email address as the keyword. Nimble will return matching profiles.

How do I see my sales stages?

Use the `list_pipelines` tool to retrieve all your deal pipelines and the specific stages defined for each one.

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

Name: Nimble 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 Nimble 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 Nimble CRM "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Nimble 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 Nimble CRM MCP Server

Connect your Nimble CRM account to your AI agent and streamline your relationship management and sales pipelines through natural conversation.

Pydantic AI validates every Nimble 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

Contact Management — List all people and companies and search for specific profiles based on keywords, emails, or notes.
Sales Pipelines — Access all deals and opportunities, including their current stage, value, and expected close dates.
Activity Tracking — Monitor your tasks, calendar events, and calls to stay on top of your schedule.
Relationship Intelligence — Fetch complete metadata and social profiles for specific contacts to better prepare for meetings.
Note Taking — Attach new notes or log entries directly to contact profiles within your chat.
Organization Oversight — View all defined deal pipelines and retrieve your own user metadata.

The Nimble 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 Nimble CRM to Pydantic AI via MCP

Follow these steps to integrate the Nimble 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 Nimble CRM with type-safe schemas

Why Use Pydantic AI with the Nimble CRM MCP Server

Pydantic AI provides unique advantages when paired with Nimble 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 Nimble 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 Nimble CRM connection logic from agent behavior for testable, maintainable code

Nimble CRM + Pydantic AI Use Cases

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

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

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

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

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

Nimble CRM MCP Tools for Pydantic AI (10)

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

add_note_to_contact

Add a note to a contact

get_activity

Get specific activity details

get_contact

Get specific contact details

get_deal

Get specific deal info

get_me

Get current user info

list_activities

List tasks and events

list_contacts

List Nimble contacts

list_deals

List Nimble deals

list_pipelines

List deal pipelines

search_contacts

Search for contacts

Example Prompts for Nimble CRM in Pydantic AI

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

"List all people and companies in my Nimble CRM."

"Search for a contact with the email 'ryan@example.com'."

"What are my current active deals?"

Troubleshooting Nimble CRM MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Nimble CRM + Pydantic AI FAQ

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