Can I check the references for a specific applicant?

Yes! Use the `list_references` tool with the Applicant's GUID. Your agent will fetch the list of names, companies, and contact details for the references provided by the candidate.

How do I list all the active job postings?

Simply ask the agent to `list_jobs`. It will retrieve the current job openings from your BrightMove ATS account, including titles and status information.

Does the integration allow creating a new candidate profile?

The current toolset is focused on querying and monitoring (Read-Only) to ensure data integrity. Creating or updating applicant records should be done through the BrightMove web interface or your careers page.

BrightMove MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: BrightMove
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 BrightMove "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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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 BrightMove MCP Server

Connect your BrightMove ATS account to any AI agent and orchestrate your recruitment, talent acquisition, and applicant tracking workflows through natural conversation.

Pydantic AI validates every BrightMove tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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 Oversight — List all job postings and retrieve detailed requirements and metadata for each role.
Applicant Management — List all candidates in your system and retrieve detailed profiles, including contact info and status.
Reference Auditing — Retrieve and verify references for specific applicants to ensure high-quality hiring.
Placement Tracking — Monitor job placements and recruitment activities across your organization.
Team & Company Coordination — Access core company info and list user accounts managed within the ATS.
Dashboard Insights — Retrieve high-level recruitment metrics directly from your workspace.

The BrightMove MCP Server exposes 10 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 BrightMove to Pydantic AI via MCP

Follow these steps to integrate the BrightMove 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 10 tools from BrightMove with type-safe schemas

Why Use Pydantic AI with the BrightMove MCP Server

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

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

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

BrightMove + Pydantic AI Use Cases

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

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

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

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

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

BrightMove MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect BrightMove to Pydantic AI via MCP:

get_applicant

Get specific applicant details

get_company_info

Retrieve core company information

get_job

Get details of a specific job

get_recruitment_dashboard

Retrieve high-level recruitment dashboard data

list_activities

List recruitment activities

list_applicants

List all applicants/candidates

list_jobs

List all job postings

list_placements

List job placements

list_references

List references for a specific applicant

list_user_accounts

List user accounts in the company

Example Prompts for BrightMove in Pydantic AI

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

"List all active jobs in BrightMove."

"Show the profile for applicant with GUID 12345-abcde."

"List the references for applicant Jane Smith."

Troubleshooting BrightMove MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

BrightMove + Pydantic AI FAQ

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