How to Use the Namely MCP in Claude

Q: Can I use Namely tools in Claude Desktop for bulk exports?

You can use listreports to grab data, but remember that the server respects API rate limits. Keep your requests targeted to avoid hitting those caps.

Bring your HR data into Claude Desktop. Query employee profiles, teams, and company events without leaving your chat window.

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Connect Namely MCP to Claude Desktop

Create your Vinkius account to connect Namely to Claude Desktop 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 Namely with Claude Desktop

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Claude

Perplexity

Search Namely profiles in Claude Desktop

Stop digging through the HR portal for basic info. Use `get_profile` to pull specific employee details or `list_profiles` to scan your entire directory directly from your chat. This gives you instant access to job titles and contact info. It turns your agent into an HR search engine for quick organizational lookups.

Track events with Namely MCP Server

Stay in the loop on company culture by querying `list_announcements` and `list_events`. You get birthdays, work anniversaries, and company-wide updates pushed straight into your conversation. It keeps you informed without manual checks. Your agent handles the busywork of scanning the calendar for upcoming team milestones.

Manage org structure in Claude Desktop

Understand your hierarchy by running `list_teams` or `list_groups` to map out departments. You can quickly pull reporting lines or check team assignments whenever you need context for a project. This helps you identify stakeholders without bugging HR. Use `list_jobs` to see current role definitions across the business.

Setup guide

Set up Namely MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Namely MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Namely MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under namely-mcp.

json

{
  "mcpServers": {
    "namely-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 Namely. 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 Namely MCP in Claude Desktop

Open your Claude configuration file and add the server settings under the mcpServers key. Once you save and restart, the tools appear in your chat interface.

Yes. Your AI client communicates directly with the server via stdio or a secure endpoint. No external party touches your PII during these queries.

No. The server currently provides read-only access to Namely data. You can pull profiles and reports but cannot modify existing employee records.

You can use `list_reports` to grab data, but remember that the server respects API rate limits. Keep your requests targeted to avoid hitting those caps.

The server accesses employee metadata like names, job titles, and event dates. It strictly reads the fields you explicitly request via the available tools.

Use it with your favorite AI tools

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