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 CrewAI 10 tools — connect in under 2 minutes

Name: BrightMove
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to BrightMove through Vinkius, pass the Edge URL in the `mcps` parameter and every BrightMove tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="BrightMove Specialist",
    goal="Help users interact with BrightMove effectively",
    backstory=(
        "You are an expert at leveraging BrightMove tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in BrightMove "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, BrightMove becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call BrightMove tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the BrightMove MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from BrightMove

Why Use CrewAI with the BrightMove MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with BrightMove through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

BrightMove + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries BrightMove for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries BrightMove, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain BrightMove tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries BrightMove against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

BrightMove MCP Tools for CrewAI (10)

These 10 tools become available when you connect BrightMove to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

BrightMove + CrewAI FAQ

Common questions about integrating BrightMove MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.