Can I check the value of a sales opportunity using the agent?

Yes! Use the `get_opportunity_details` tool with the Opportunity ID. Your agent will fetch the detailed metadata, which includes the value amount and currency from Capsule CRM.

How do I list all the people in my CRM?

Simply ask the agent to `list_contacts`. It will retrieve the list of all parties (people and organizations) from your Capsule account, including their names and primary details.

Does the integration allow creating a new task?

Yes. Use the `create_task` action and provide the description. You can also optionally specify a due date. The task will be added to your Capsule account instantly.

Capsule CRM MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Name: Capsule CRM
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Capsule 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 Capsule CRM "
            "(11 tools)."
        ),
    )

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

Connect your Capsule CRM account to any AI agent and orchestrate your sales pipelines, contact management, and task automation through natural conversation.

Pydantic AI validates every Capsule CRM 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

Contact Oversight — List all your parties (people and organizations) and retrieve detailed profiles, including emails and tags.
Opportunity Coordination — List all sales opportunities and retrieve detailed metadata, including milestones and values.
Task Management — Create, update, and monitor tasks and reminders to ensure your sales process stays on track.
Project Tracking — Access and list your projects managed within the platform to maintain visibility across your team.
CRM Automation — Create new person profiles and tasks directly from your workspace using natural language.
Deep Dives — Get detailed data for specific party, opportunity, or task IDs straight from your workspace.

The Capsule CRM 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 Capsule CRM to Pydantic AI via MCP

Follow these steps to integrate the Capsule 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 11 tools from Capsule CRM with type-safe schemas

Why Use Pydantic AI with the Capsule CRM MCP Server

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

Capsule CRM + Pydantic AI Use Cases

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

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

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

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

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

Capsule CRM MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect Capsule CRM to Pydantic AI via MCP:

create_person

Add a new person to Capsule CRM

create_task

Create a new task

get_account_info

Retrieve core account/user information

get_contact_details

Get details of a specific contact or organization

get_opportunity_details

Get details of a specific opportunity

get_project_details

Get details of a specific project

get_task_details

Get details of a specific task

list_contacts

List all contacts and organizations (parties)

list_opportunities

List all sales opportunities

list_projects

List all projects

list_tasks

List all tasks and reminders

Example Prompts for Capsule CRM in Pydantic AI

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

"List my last 5 contacts in Capsule CRM."

"Show my open sales opportunities."

"Create a task 'Follow up with John Doe' due tomorrow."

Troubleshooting Capsule CRM MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Capsule CRM + Pydantic AI FAQ

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