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Onpipeline MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Create Crm Contact, Create Crm Deal, Create Crm Organization, and more

Built by Vinkius GDPR 11 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Pydantic AI

Open in ChatGPT Open in Claude Open in Perplexity

The Onpipeline app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Onpipeline "
            "(11 tools)."
        ),
    )

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

asyncio.run(main())
Onpipeline
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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 Onpipeline MCP Server

Connect your Onpipeline account to any AI agent and take full control of your sales orchestration and pipeline management through natural conversation. Onpipeline is a powerful and intuitive CRM designed for high-velocity sales teams, and this integration allows you to retrieve deal metadata, update customer records, and monitor organization history directly from your chat interface.

Pydantic AI validates every Onpipeline 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

  • Deal & Opportunity Orchestration — List all managed deals and retrieve detailed status metadata programmatically to ensure your sales pipeline is always synchronized.
  • Contact & CRM Intelligence — Access and monitor your centralized database of persons and organizations directly from the AI interface to maintain high-fidelity customer profiles.
  • Pipeline Discovery — Search through your sales stages and retrieve deal history via natural language to drive better forecasting efficiency.
  • Lead Management Control — Create new deals, persons, and organization records using simple AI commands to reduce manual data entry.
  • Operational Monitoring — Track system responses and manage organization-wide activity to ensure your sales workflows are always optimized.

The Onpipeline 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.

All 11 Onpipeline tools available for Pydantic AI

When Pydantic AI connects to Onpipeline through Vinkius, your AI agent gets direct access to every tool listed below — spanning onpipeline, sales-crm, pipeline-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_crm_contact

Create a new contact

create_crm_deal

Create a new deal

create_crm_organization

Create a new organization

get_contact_details

Get details for a specific contact

get_deal_details

Get details for a specific deal

list_activities

List all CRM activities

list_crm_contacts

List CRM contacts (persons)

list_crm_deals

List all sales deals

list_crm_events

List calendar events

list_crm_organizations

List CRM organizations (companies)

list_pipelines

List all sales pipelines

Connect Onpipeline to Pydantic AI via MCP

Follow these steps to wire Onpipeline into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 11 tools from Onpipeline with type-safe schemas

Why Use Pydantic AI with the Onpipeline MCP Server

Pydantic AI provides unique advantages when paired with Onpipeline through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Onpipeline integration code

03

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

04

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

Onpipeline + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Onpipeline in Pydantic AI

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

01

"List all my current deals in Onpipeline."

02

"Show me all sales pipelines and their current stage breakdown."

03

"Get the full details and activity history for deal ID d_4521."

Troubleshooting Onpipeline MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Onpipeline + Pydantic AI FAQ

Common questions about integrating Onpipeline MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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