RecruSpace MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Add Candidate, Create Talent Pool, Get Candidate Details, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add RecruSpace 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 RecruSpace app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 11 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 RecruSpace. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in RecruSpace?"
)
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 RecruSpace MCP Server
Connect your RecruSpace account to any AI agent to streamline your hiring and talent orchestration through natural conversation. RecruSpace provides a modern recruitment platform for programmatically managing candidates, organizing talent pools, and tracking job post statuses through its robust API.
LlamaIndex agents combine RecruSpace tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Candidate & Applicant Orchestration — List all managed candidates and add new potential hires with detailed profile metadata programmatically.
- Talent Pool Intelligence — Access and monitor your talent pools and create new collections to organize your recruitment pipeline directly from the AI interface.
- Job Post Lifecycle Management — List all active job posts and retrieve detailed metadata to maintain a clear overview of your hiring needs via natural language.
- Candidate Deep-Dive — Retrieve granular details for specific candidates to understand full context and qualification metrics.
- Operational Monitoring — Track system activity and manage recruitment metadata using simple AI commands.
The RecruSpace MCP Server exposes 11 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 11 RecruSpace tools available for LlamaIndex
When LlamaIndex connects to RecruSpace through Vinkius, your AI agent gets direct access to every tool listed below — spanning recruspace, recruitment-api, hr-technology, 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.
Pass data as a JSON string. Add a new candidate
Create a new talent pool
Get specific candidate details
Get details for a specific job posting
Get details for a talent pool
List all candidates
List all scheduled interviews
List all job posts
List all hiring pipelines
List all talent pools
Update candidate information
Connect RecruSpace to LlamaIndex via MCP
Follow these steps to wire RecruSpace 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 RecruSpace MCP Server
LlamaIndex provides unique advantages when paired with RecruSpace through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine RecruSpace tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain RecruSpace tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query RecruSpace, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what RecruSpace tools were called, what data was returned, and how it influenced the final answer
RecruSpace + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the RecruSpace MCP Server delivers measurable value.
Hybrid search: combine RecruSpace real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query RecruSpace 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 RecruSpace for fresh data
Analytical workflows: chain RecruSpace queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for RecruSpace in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with RecruSpace immediately.
"List all active candidates in RecruSpace."
"Show me all active job postings with their application counts and pipeline status."
"Add a new candidate to the talent pool for future engineering roles."
Troubleshooting RecruSpace MCP Server with LlamaIndex
Common issues when connecting RecruSpace to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpRecruSpace + LlamaIndex FAQ
Common questions about integrating RecruSpace MCP Server with LlamaIndex.