Ninehire MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Api Health, Get Applicant Profile, Get Authenticated User Info, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Ninehire as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Ninehire app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Ninehire. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Ninehire?"
)
print(response)
asyncio.run(main())
* 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 Ninehire MCP Server
Connect your Ninehire account to any AI agent and take full control of your talent acquisition and applicant tracking orchestration through natural conversation. Ninehire (나인하이어) provides a modern recruitment platform, and this integration allows you to retrieve job metadata, manage candidate profiles, and monitor interview evaluations directly from your chat interface.
LlamaIndex agents combine Ninehire tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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 & Requirement Orchestration — List all active job openings and retrieve detailed requirements programmatically to ensure your hiring roadmap is always synchronized.
- Applicant & Pipeline Intelligence — Access and monitor candidate profiles and retrieve detailed application history directly from the AI interface to maintain high-fidelity talent pools.
- Evaluation & Feedback Control — List interview scores and comments via natural language to drive better hiring decisions and team alignment.
- Manual Applicant Ingestion — Register new applicants and manage department or location metadata using simple AI commands.
- Operational Monitoring — Track system responses and manage recruitment webhooks to ensure your hiring workflows are always optimized.
The Ninehire MCP Server exposes 12 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.
All 12 Ninehire tools available for LlamaIndex
When LlamaIndex connects to Ninehire through Vinkius, your AI agent gets direct access to every tool listed below — spanning applicant-tracking, talent-acquisition, hiring-pipeline, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify Ninehire API status
Get details for a specific candidate
Get current account profile
Get details for a specific job
Get evaluations for a candidate
List active webhooks
List internal hiring teams
List candidates and applicants
List hiring locations
Supports filtering by title, job group, and employment type. List all job openings
List company departments
Requires essential info like name and email. Add a candidate manually
Connect Ninehire to LlamaIndex via MCP
Follow these steps to wire Ninehire into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Ninehire MCP Server
LlamaIndex provides unique advantages when paired with Ninehire through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Ninehire tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Ninehire tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Ninehire, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Ninehire tools were called, what data was returned, and how it influenced the final answer
Ninehire + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Ninehire MCP Server delivers measurable value.
Hybrid search: combine Ninehire real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Ninehire 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 Ninehire for fresh data
Analytical workflows: chain Ninehire queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Ninehire in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Ninehire immediately.
"List all active job postings in Ninehire."
"Show me all candidates who applied for the Senior Developer position."
"List all departments and hiring locations configured in my organization."
Troubleshooting Ninehire MCP Server with LlamaIndex
Common issues when connecting Ninehire to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNinehire + LlamaIndex FAQ
Common questions about integrating Ninehire MCP Server with LlamaIndex.