Where can I find my Manatal API Token?

Log in to Manatal, go to Administration > Integration > API, and you will find your API Token there.

Can I list candidates by page?

Yes, use the `list_candidates` tool and provide the `page` parameter to navigate through your results.

Absolutely. Your token is encrypted at rest and injected securely at runtime.

Manatal MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Manatal
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Manatal as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Manatal. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Manatal?"
    )
    print(response)

asyncio.run(main())

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* 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 Manatal MCP Server

Connect your Manatal account to any AI agent and take full control of your recruitment pipeline through natural conversation.

LlamaIndex agents combine Manatal tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 Management — List all candidates, fetch detailed profiles, and manage your talent pool
Job Management — Query active job openings, list departments, and manage career pages
Applications — Track applicant progress and inspect individual application details
Client Management — List and inspect organizations/clients associated with your recruitment firm

The Manatal MCP Server exposes 10 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.

How to Connect Manatal to LlamaIndex via MCP

Follow these steps to integrate the Manatal MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Manatal

Why Use LlamaIndex with the Manatal MCP Server

LlamaIndex provides unique advantages when paired with Manatal through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Manatal tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Manatal tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Manatal, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Manatal tools were called, what data was returned, and how it influenced the final answer

Manatal + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Manatal MCP Server delivers measurable value.

Hybrid search: combine Manatal real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Manatal 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 Manatal for fresh data

Analytical workflows: chain Manatal queries with LlamaIndex's data connectors to build multi-source analytical reports

Manatal MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Manatal to LlamaIndex via MCP:

get_application

Get details for a specific application

get_candidate

Get details for a specific candidate

get_job

Get details for a specific job

get_organization

Get details for a specific organization

list_applications

List all applications

list_candidates

List all candidates

list_career_pages

List all career pages

list_departments

List all departments

list_jobs

List all jobs

list_organizations

List all organizations

Example Prompts for Manatal in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Manatal immediately.

"List the first page of candidates."

"What are the active job openings?"

"Get details for organization ID 123."

Troubleshooting Manatal MCP Server with LlamaIndex

Common issues when connecting Manatal to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Manatal + LlamaIndex FAQ

Common questions about integrating Manatal MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Manatal tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.