How to Use the Recruit CRM MCP in LlamaIndex

Index your Recruit CRM data into LlamaIndex to query candidate history and job requirements using semantic search.

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Connect Recruit CRM MCP to LlamaIndex

Create your Vinkius account to connect Recruit CRM to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Recruit CRM with LlamaIndex

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Index Recruit CRM data for LlamaIndex

Turn your recruitment records into a searchable knowledge base. By running `list_candidates` and `get_candidate_details`, you feed live data into your vector store. Your RAG application stays grounded in real facts. It stops guessing and starts answering based on your actual CRM entries.

Semantic search across Recruit CRM records

Query your recruitment data with natural language instead of rigid filters. LlamaIndex maps your questions to the right candidate or company details. The system pulls specific information from `get_company_details` or `get_contact_details` as needed. Your search results reflect the latest state of your account.

Grounded LlamaIndex answers from Recruit CRM

Stop worrying about model hallucinations during candidate reviews. The agent retrieves exact records from your CRM to construct accurate responses. Every answer cites the underlying data retrieved from the server. You verify the source of truth immediately.

Setup guide

Set up Recruit CRM MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Recruit CRM MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Recruit CRM tools.",
)
response = await agent.run("List recent Recruit CRM data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Recruit CRM. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Recruit CRM MCP in LlamaIndex

Use the BasicMCPClient to point to the server and integrate the tools into your FunctionAgent. This allows your index to pull live data directly.

LlamaIndex treats your CRM data as a document source. It queries the server to fetch details that inform your search results.

The system fetches fresh data from Recruit CRM whenever your pipeline runs. This keeps your knowledge base current with your latest recruitment activity.

The MCP Server executes the requested function and returns the structured data. LlamaIndex then parses this output for your vector store.

Access is scoped to your specific API token. The server handles the authentication, ensuring only your authorized agents can read candidate resumes and contact info.

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