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Pitchly MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Create Record, Delete Record, Get Record Details, and more

Built by Vinkius GDPR 11 Tools SDK

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

Ask AI about this App Connector for Pydantic AI

The Pitchly 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 Pitchly "
            "(11 tools)."
        ),
    )

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

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

Connect your Pitchly account to any AI agent and take full control of your organizational experience and content orchestration through natural conversation. Pitchly is the data management platform of choice for professional services firms, and this integration allows you to retrieve workspace metadata, manage custom data tables, and update critical records (deals, bios, tombstones) directly from your chat interface.

Pydantic AI validates every Pitchly 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

  • Workspace & Table Orchestration — List all managed workspaces and retrieve detailed table structures programmatically to ensure your data foundation is always synchronized.
  • Record Lifecycle Management — Query, create, and update records across custom tables with detailed profile metadata directly from the AI interface to maintain high-fidelity business intelligence.
  • Content Discovery Intelligence — Search through complex data sets for specific deals, professional bios, or tombstone data via natural language to drive better research efficiency.
  • Data Ingestion Control — Automate the creation of new records and manage organizational metadata using simple AI commands.
  • Operational Monitoring — Track system responses and manage workspace health to ensure your experience management is always optimized.

The Pitchly 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 Pitchly tools available for Pydantic AI

When Pydantic AI connects to Pitchly through Vinkius, your AI agent gets direct access to every tool listed below — spanning experience-data, professional-services, content-automation, 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_record

Add a new record to a table

delete_record

Delete a record from a table

get_record_details

Get details of a specific record

get_table_details

Get details of a specific table

get_workspace_details

Get details of a specific workspace

list_fields

List all fields in a table

list_table_records

List records in a Pitchly table

list_tables

List tables in a workspace

list_workspaces

List all Pitchly workspaces

search_records

Search records within a table

update_record

Update an existing record

Connect Pitchly to Pydantic AI via MCP

Follow these steps to wire Pitchly 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 Pitchly with type-safe schemas

Why Use Pydantic AI with the Pitchly MCP Server

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

Pitchly + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Pitchly in Pydantic AI

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

01

"List all tables in my 'Corporate' workspace in Pitchly."

02

"Show me all records in the Client Engagements table that were updated this week."

03

"Create a new record in the Deal Pipeline table for the ScaleUp Technologies opportunity."

Troubleshooting Pitchly MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Pitchly + Pydantic AI FAQ

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