How to Use the Crelate Talent CRM MCP in Claude

Q: How do I install the Crelate Talent CRM server in Claude Desktop?

Open your claudedesktopconfig.json file and add the server configuration under the mcpServers key. Restart your Claude Desktop app, and you will see the Crelate tools active under the hammer icon.

Q: Can Claude Desktop search my Crelate Talent CRM candidate database in real-time?

Yes, this MCP Server uses searchcontactsbyname and listcontacts to query your live Crelate Talent CRM database. Your desktop client gets the latest recruiter notes and contact info instantly.

Q: How does Crelate Talent CRM handle custom fields in Claude Desktop?

The getcontactdetails tool pulls the complete JSON payload from your Crelate account, including custom tracking fields. Claude Desktop parses this structured data so you can filter candidates by your specific hiring criteria.

Q: Can I manage client companies using Crelate Talent CRM and Claude Desktop?

Yes, you can use listcompanies to pull your client accounts directly into your desktop chat. This lets you match candidate profiles with active job orders from specific employers during your sourcing sessions.

Search candidates, pull job orders, and log recruitment notes directly inside Claude Desktop without bouncing between browser tabs.

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Setup Crelate Talent CRM with Claude Desktop

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Retrieve Crelate profiles directly inside Claude Desktop

The `get_contact_details` tool fetches complete candidate records right into your local desktop chat. You don't have to copy-paste resume details anymore because this MCP Server feeds the raw JSON profile straight to your LLM window. If you need to dig deeper, the `get_contact_notes` tool pulls internal recruiter feedback instantly. Claude Desktop formats these raw recruiting logs into clean, readable bullet points on your screen.

Log new candidate contacts without leaving your chat

The `create_contact` tool registers fresh talent in your database using Claude Desktop's interactive chat prompt. Your desktop client parses raw copy-pasted resumes and maps the fields automatically. Run a quick name lookup via `search_contacts_by_name` first to ensure you aren't creating a duplicate profile. Claude Desktop handles the verification in a single turn, saving your database from messy, repeated entries.

Track active jobs and recruiting histories

The `list_jobs` tool displays your current open requisitions directly inside the desktop chat window via the MCP Server connection. You can ask your local client to compare candidate profiles against specific requirements retrieved by `get_job_details`. To see who spoke with a lead last, the `list_recent_activities` tool exposes the timeline of recent calls and emails. Claude Desktop keeps your team aligned by showing exactly where each candidate stands in your pipeline.

Setup guide

Set up Crelate Talent CRM 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 Crelate Talent CRM 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 Crelate Talent CRM 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 crelate-talent-crm-mcp.

json

{
  "mcpServers": {
    "crelate-talent-crm-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 Crelate Talent. 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 Crelate Talent CRM MCP in Claude Desktop

Open your `claude_desktop_config.json` file and add the server configuration under the `mcpServers` key. Restart your Claude Desktop app, and you will see the Crelate tools active under the hammer icon.

Yes, this MCP Server uses `search_contacts_by_name` and `list_contacts` to query your live Crelate Talent CRM database. Your desktop client gets the latest recruiter notes and contact info instantly.

The `get_contact_details` tool pulls the complete JSON payload from your Crelate account, including custom tracking fields. Claude Desktop parses this structured data so you can filter candidates by your specific hiring criteria.

Yes, you can use `list_companies` to pull your client accounts directly into your desktop chat. This lets you match candidate profiles with active job orders from specific employers during your sourcing sessions.

Your candidate profiles, recruiter notes, and contact details remain secure because this MCP Server runs in a local sandbox. Vinkius secures the API connection, ensuring your recruiting data is never used for model training.

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