Assembled MCP Server for Pydantic AI 7 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Assembled through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Assembled "
"(7 tools)."
),
)
result = await agent.run(
"What tools are available in Assembled?"
)
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 Assembled MCP Server
The Assembled MCP Server provides your AI agent with direct access to your workforce management (WFM) data. Optimize your support operations by monitoring agent availability, auditing schedules, and analyzing contact volume forecasts using natural language.
Pydantic AI validates every Assembled tool response against typed schemas, catching data inconsistencies at build time. Connect 7 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.
Key Capabilities
- Agent & State Tracking — List all users and monitor real-time agent states to see who is online, on break, or in a meeting.
- Team & Queue Management — Audit your support organization structure by listing teams and individual support queues.
- Schedule Oversight — Retrieve detailed agent schedules for any time range to ensure proper coverage.
- Forecasting Insights — Access contact volume forecasts to prepare for upcoming support demand.
- Operational Auditing — Quickly verify account connections and organizational metadata without manual reports.
- Secure API Access — Uses your Assembled API Key for safe and authenticated communication with your WFM data.
The Assembled MCP Server exposes 7 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 Assembled to Pydantic AI via MCP
Follow these steps to integrate the Assembled 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 7 tools from Assembled with type-safe schemas
Why Use Pydantic AI with the Assembled MCP Server
Pydantic AI provides unique advantages when paired with Assembled 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 Assembled integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Assembled connection logic from agent behavior for testable, maintainable code
Assembled + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Assembled MCP Server delivers measurable value.
Type-safe data pipelines: query Assembled with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Assembled tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Assembled and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Assembled responses and write comprehensive agent tests
Assembled MCP Tools for Pydantic AI (7)
These 7 tools become available when you connect Assembled to Pydantic AI via MCP:
get_account_check
Verify Assembled account connection
list_agent_states
List real-time agent states
list_forecasts
List contact volume forecasts
list_queues
List all support queues
list_schedules
List agent schedules for a time range
list_teams
List all teams
list_users
List all users in Assembled
Example Prompts for Assembled in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Assembled immediately.
"List all agents currently online in Assembled."
"Show me the schedule for 'Support Team Alpha' for today."
"What is the contact volume forecast for next Monday?"
Troubleshooting Assembled MCP Server with Pydantic AI
Common issues when connecting Assembled to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAssembled + Pydantic AI FAQ
Common questions about integrating Assembled 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.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Assembled with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Assembled to Pydantic AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
