How to Use the BrightMove MCP in Pydantic AI

Use BrightMove with Pydantic AI for type-safe recruitment agents that validate every piece of hiring data at runtime.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect BrightMove MCP to Pydantic AI

Create your Vinkius account to connect BrightMove to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup BrightMove with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-safe candidate lookups

Every response from `get_applicant` or `list_applicants` is checked against your Pydantic models. If the data structure deviates from your requirements, your agent catches it immediately. This prevents your agent from processing malformed candidate records. You gain confidence in your agent's input data.

Validating hiring metrics in Pydantic AI

Feed your dashboard data from `get_recruitment_dashboard` directly into your typed agents. You define the schema, and we enforce it. Use `list_activities` to feed your agent a verified list of hiring events. You always know exactly what the API returned.

Typed job and placement tracking

Use `list_jobs` and `get_job` to manage your open requisitions with strict type definitions. It ensures your agent never hallucinates a field that isn't in the API. Query `list_placements` and `list_references` with the same safety. Every tool call remains predictable and rigid.

Setup guide

Set up BrightMove MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "brightmove-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to BrightMove tools.",
)

result = await agent.run("List recent BrightMove transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BrightMove. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect BrightMove now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BrightMove MCP in Pydantic AI

You initialize an MCPToolset with your server URL and add it to your agent configuration. It allows for immediate runtime validation of all tools.

Because it uses Pydantic models, your agent fails loudly if the API returns unexpected data. It prevents silent errors from propagating through your agent's logic.

Yes, you define the models that govern the tool responses. It ensures your agent only interacts with the hiring data in the way you expect.

You authenticate via the token provided by Vinkius. The server runs externally, and your agent interacts with it over a secure transport layer.

It manages recruitment records including applicant names, emails, and job reference IDs. We treat this data as sensitive and enforce strict runtime validation through your Pydantic schemas.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript