Troops MCP Server for Pydantic AIGive Pydantic AI instant access to 7 tools to Create Candidate, Create Job, Generate Contract, and more

Name: Troops
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Troops MCP Server for Pydantic AI is a standout in the Productivity category — giving your AI agent 7 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 Troops "
            "(7 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

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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 Troops MCP Server

Connect your Troops account to any AI agent to streamline your recruitment and HR operations through natural conversation.

Pydantic AI validates every Troops 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.

What you can do

Job Management — List existing job offers or create new ones with specific locations and dates using list_jobs and create_job.
Candidate Pipeline — Register new candidates and retrieve detailed profiles instantly with create_candidate and get_candidate.
Contract Automation — Generate legal contracts for specific jobs and trigger electronic signature processes via generate_contract and sign_contract.
Time Tracking — Submit and manage timesheets for active contracts to ensure accurate payroll using submit_timesheet.

The Troops MCP Server exposes 7 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 Troops tools available for Pydantic AI

When Pydantic AI connects to Troops through Vinkius, your AI agent gets direct access to every tool listed below — spanning job-management, candidate-tracking, timesheets, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create candidate on Troops

create

Create job on Troops

Create a new job offer

generate

Generate contract on Troops

Generate a contract

get

Get candidate on Troops

Get candidate details

list

List jobs on Troops

Can be filtered by status. List job offers

sign

Sign contract on Troops

Sign a contract

submit

Submit timesheet on Troops

Submit a time sheet

Connect Troops to Pydantic AI via MCP

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

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 Troops with type-safe schemas

Why Use Pydantic AI with the Troops MCP Server

Pydantic AI provides unique advantages when paired with Troops 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 Troops integration code

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

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

Troops + Pydantic AI Use Cases

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

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

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

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

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

Example Prompts for Troops in Pydantic AI

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

"List all published job offers in the system."

"Register a new candidate: Alice Smith, alice.smith@email.com."

"Generate a contract for candidate cand_987 for job job_001 with a salary rate of 55."

Troubleshooting Troops MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Troops + Pydantic AI FAQ

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