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 LangChain 10 tools — connect in under 2 minutes

Name: Manatal
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Manatal through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "manatal": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Manatal, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Manatal through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Manatal via MCP

Why Use LangChain with the Manatal MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Manatal MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Manatal queries for multi-turn workflows

Manatal + LangChain Use Cases

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

RAG with live data: combine Manatal tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Manatal, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Manatal tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Manatal tool call, measure latency, and optimize your agent's performance

Manatal MCP Tools for LangChain (10)

These 10 tools become available when you connect Manatal to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Manatal + LangChain FAQ

Common questions about integrating Manatal MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.