How do I get a Namely API Token?

You can generate a Personal Access Token in your Namely account under API > Personal Access Tokens. Ensure your user has the appropriate permissions to view the data you want to retrieve.

Can I see salary information through this server?

This depends on the permissions of the user who generated the API token. If your Namely user can see salary data, the `get_profile` and `list_jobs` tools will return that information.

What is the Company Slug?

The slug is the unique part of your Namely URL. For example, if you log in at 'acme.namely.com', your slug is 'acme'.

Namely MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Namely
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 Namely through the 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({
        "namely": {
            "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 Namely, 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 Namely MCP Server

Connect your Namely HRIS account to your AI agent and take full control of your organization's employee data and structures through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Namely through native MCP adapters. Connect 10 tools via the 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

Employee Directory — List all employee profiles and get detailed information including contact info and roles.
Job & Salary Info — Access a complete list of job titles and salary structures defined in your organization.
Org Structure — View all groups, departments, and teams to understand your organizational hierarchy.
HR Timeline — Monitor organization events like birthdays and work anniversaries.
Custom Fields & Reports — List available reports and custom data fields defined for your profiles.
Company Feed — Access recent company-wide announcements from the Namely home feed.

The Namely 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 Namely to LangChain via MCP

Follow these steps to integrate the Namely 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 Namely via MCP

Why Use LangChain with the Namely MCP Server

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

The largest ecosystem of integrations, chains, and agents — combine Namely 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 Namely queries for multi-turn workflows

Namely + LangChain Use Cases

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

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

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

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

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

Namely MCP Tools for LangChain (10)

These 10 tools become available when you connect Namely to LangChain via MCP:

get_profile

Get specific employee details

get_team

Get team details

list_announcements

List company announcements

list_events

g., birthdays, work anniversaries) from the organization timeline. List HR events

list_fields

List custom employee fields

list_groups

g., departments, offices) in your organization. List organization groups

list_jobs

List job titles and info

list_profiles

List employee profiles

list_reports

List HR reports

list_teams

List organization teams

Example Prompts for Namely in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Namely immediately.

"List all employees in the 'Engineering' department."

"What company announcements were posted recently?"

"Show me upcoming birthdays in the organization."

Troubleshooting Namely MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Namely + LangChain FAQ

Common questions about integrating Namely 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.