Recruit CRM MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Candidate, Create Job, Get Candidate Details, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Recruit CRM 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 Recruit CRM app connector for LlamaIndex is a standout in the Productivity 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 Recruit CRM. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Recruit CRM?"
)
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 Recruit CRM MCP Server
What you can do
- List and manage candidates in your recruitment database in real-time.
- Track job vacancies, requirements, and application pipelines.
- Access client company details and key contacts directly from your AI agent.
- Create new candidates and job postings with simple commands.
Who is it for?
- Recruitment agencies looking for automated ATS and CRM control.
- HR teams managing a high volume of candidates and job postings.
- Hiring managers tracking pipeline status and decision makers.
LlamaIndex agents combine Recruit CRM 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.
The Recruit CRM 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 Recruit CRM tools available for LlamaIndex
When LlamaIndex connects to Recruit CRM through Vinkius, your AI agent gets direct access to every tool listed below — spanning recruitment, ats, crm, 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.
Add a new candidate
Create a new job posting
Get details of a specific candidate
Get details of a specific company
Get details of a specific contact
Get details of a specific job
Get account information
List recruitment candidates
List client companies
List client contacts
List candidates assigned to a job
List job vacancies
Connect Recruit CRM to LlamaIndex via MCP
Follow these steps to wire Recruit CRM 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 Recruit CRM MCP Server
LlamaIndex provides unique advantages when paired with Recruit CRM through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Recruit CRM tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Recruit CRM tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Recruit CRM, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Recruit CRM tools were called, what data was returned, and how it influenced the final answer
Recruit CRM + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Recruit CRM MCP Server delivers measurable value.
Hybrid search: combine Recruit CRM real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Recruit CRM 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 Recruit CRM for fresh data
Analytical workflows: chain Recruit CRM queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Recruit CRM in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Recruit CRM immediately.
"List all active jobs in Recruit CRM."
"Show me all candidates in the final interview stage across all open positions."
"Add a new candidate to the Senior Backend Engineer position and schedule a first-round interview."
Troubleshooting Recruit CRM MCP Server with LlamaIndex
Common issues when connecting Recruit CRM to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpRecruit CRM + LlamaIndex FAQ
Common questions about integrating Recruit CRM MCP Server with LlamaIndex.