folk MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Create Contact, Get Contact Details, List Contact Notes, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect folk 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 folk app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 folk "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in folk?"
)
print(result.data)
asyncio.run(main())
* 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 folk MCP Server
Connect your folk CRM account to any AI agent and simplify how you manage your professional relationships, coordinate contact groups, and track interactions through natural conversation.
Pydantic AI validates every folk tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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 contacts and retrieve detailed profile metadata, including custom fields and status.
- Group Management — Coordinate your contact lists by querying and managing specific groups in your folk workspace.
- Interaction Tracking — Retrieve a complete history of emails, meetings, and calls for any contact to maintain context.
- Relationship CRM — Create new contact records and update profile data programmatically via AI.
- Notes & Insights — List and query all notes and comments associated with your contacts to capture important details.
- Operational Visibility — Verify account configurations and monitor your professional ecosystem directly from the agent.
The folk MCP Server exposes 6 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 6 folk tools available for Pydantic AI
When Pydantic AI connects to folk through Vinkius, your AI agent gets direct access to every tool listed below — spanning contact-management, relationship-tracking, crm-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 a new contact
Get details for a specific contact
List notes for a contact
Optionally filter by group ID. List folk contacts
List folk groups
List interactions for a contact
Connect folk to Pydantic AI via MCP
Follow these steps to wire folk into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the folk MCP Server
Pydantic AI provides unique advantages when paired with folk 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 folk integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your folk connection logic from agent behavior for testable, maintainable code
folk + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the folk MCP Server delivers measurable value.
Type-safe data pipelines: query folk with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple folk tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query folk and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock folk responses and write comprehensive agent tests
Example Prompts for folk in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with folk immediately.
"List all active contacts in my folk account."
"Show me the recent interactions for 'John Miller' (ID: 10293)."
"Add a new contact: 'Anna White' (anna@example.com)."
Troubleshooting folk MCP Server with Pydantic AI
Common issues when connecting folk to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aifolk + Pydantic AI FAQ
Common questions about integrating folk MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.