How to Use the Jaicob MCP in LlamaIndex

Q: Can LlamaIndex index the outputs of Jaicob MCP tools into a vector database?

Yes. You can load data from tools like listcandidates or listvacancies directly into a document index, making the recruitment pipeline searchable via semantic queries.

Ground your LlamaIndex RAG pipelines with live Jaicob candidate data and active job vacancies.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Jaicob MCP to LlamaIndex

Create your Vinkius account to connect Jaicob 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.

GDPR Free for Subscribers

Setup Jaicob with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index Jaicob recruitment data for semantic search

LlamaIndex lets you ingest active hiring data directly into your vector stores. By querying `list_candidates` and indexing the output, your agent can perform semantic searches over candidate profiles instead of relying on rigid database queries. This turns dynamic recruitment data into a searchable knowledge base. Your agent can query past applications retrieved from `list_applications` to find historical matches that fit new roles perfectly.

Build RAG applications with this MCP Server

You can combine static hiring documents with live API data from your recruitment pipeline. The agent pulls active job requirements using `list_vacancies` and matches them against resume files stored in your local directory. This ensures your agent always answers questions using fresh information. It prevents hallucinations by grounding every response in real-time client lists pulled from `list_clients`.

Ground agent responses in actual recruitment leads

Avoid outdated candidate assessments by letting your LlamaIndex agent fetch the latest updates via the MCP Server. The agent calls `list_recruitment_leads` to verify active prospects before drafting outreach emails. If a candidate profile needs updating, the agent triggers `create_candidate` to write the new data back to your system. This keeps your index synchronized with actual hiring activities without manual data entry.

Setup guide

Set up Jaicob 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 Jaicob 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 Jaicob tools.",
)
response = await agent.run("List recent Jaicob data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Jaicob. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Jaicob now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Jaicob MCP in LlamaIndex

Install llama-index-tools-mcp and initialize the basic client. Use McpToolSpec to convert the server tools into a format the LlamaIndex FunctionAgent can execute.

Yes. You can load data from tools like `list_candidates` or `list_vacancies` directly into a document index, making the recruitment pipeline searchable via semantic queries.

The agent uses RAG to ground its answers in the live JSON payloads returned by tools like `list_recruitment_leads`, ensuring it only references active hiring records.

Yes, you can pass an allowed tools list to the tool spec, exposing only `list_vacancies` and `list_clients` while hiding candidate creation tools.

All data transactions occur over secure, isolated connections with zero persistent storage. Your recruitment leads and client organizations are processed in real time and never exposed to external networks.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript