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 LlamaIndex 10 tools — connect in under 2 minutes

Name: BrightMove
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add BrightMove as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to BrightMove. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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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.

LlamaIndex agents combine BrightMove tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the BrightMove MCP Server

LlamaIndex provides unique advantages when paired with BrightMove through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine BrightMove tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain BrightMove tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query BrightMove, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what BrightMove tools were called, what data was returned, and how it influenced the final answer

BrightMove + LlamaIndex Use Cases

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

Hybrid search: combine BrightMove real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query BrightMove to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying BrightMove for fresh data

Analytical workflows: chain BrightMove queries with LlamaIndex's data connectors to build multi-source analytical reports

BrightMove MCP Tools for LlamaIndex (10)

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

BrightMove + LlamaIndex FAQ

Common questions about integrating BrightMove MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query BrightMove tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.