How to Use the HrFlow.ai MCP in VS Code Copilot

Q: How do we share the HrFlow.ai server configuration in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root and add the MCP server setup. Once committed, any team member opening the project in VS Code Copilot can use the tools immediately, provided they have the API key.

Q: How do we test HrFlow.ai resume parsing in VS Code Copilot?

You run the parseprofile tool directly from the chat interface. This lets your team inspect the structured JSON output of a resume and write accurate parser code together without switching to external testing tools.

Q: Can we ask specific questions about candidate profiles in the chat?

Yes. The askprofile tool allows you to query specific candidate details using natural language. Your agent will fetch the profile and answer questions about their skills or experience directly in the chat panel.

Share HrFlow.ai talent acquisition tools across your entire engineering team inside VS Code Copilot.

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Create your Vinkius account to connect HrFlow.ai to VS Code Copilot 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 HrFlow.ai with VS Code Copilot

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Standardize resume parsing across your team

The `parse_profile` tool converts unstructured resumes into clean JSON schemas directly inside your shared VS Code Copilot workspace. By committing your HrFlow.ai server config to Git, every developer on your team instantly gains access to the same parsing tools inside VS Code Copilot. This MCP configuration ensures that your team writes integrations against identical HrFlow.ai resume formats inside VS Code Copilot. Your agent in VS Code Copilot generates code templates and test suites based on the actual output of this HrFlow.ai tool, keeping your codebase consistent.

Validate match algorithms with this MCP Server

The `score_profiles` tool calculates candidate match percentages against your open positions inside the VS Code Copilot editor. Your team runs this HrFlow.ai tool to check matching accuracy and verify that your integration code handles scoring payloads correctly inside VS Code Copilot. Developers can also use `unfold_profile` inside VS Code Copilot to inspect career progressions and write precise database migration scripts for HrFlow.ai. This keeps your HrFlow.ai talent data pipelines accurate and reduces the risk of deploying broken matching logic to production while using VS Code Copilot.

Search profiles and jobs inside VS Code Copilot

The `search_profiles` and `search_jobs` tools let you query your HrFlow.ai candidate databases and active boards directly from the VS Code Copilot chat panel. This allows your team to test HrFlow.ai search queries and verify API endpoints without leaving the VS Code Copilot editor. Your VS Code Copilot agent uses these HrFlow.ai tools to pull live data, making it easy to write and verify complex search queries. You quickly list your active HrFlow.ai sourcing channels using `list_sources` in VS Code Copilot to ensure your integration maps to the correct endpoints.

Setup guide

Set up HrFlow.ai MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the HrFlow.ai MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the HrFlow.ai tools listed. Try asking: "List my recent HrFlow.ai transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HrFlow.ai. 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 HrFlow.ai MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and add the MCP server setup. Once committed, any team member opening the project in VS Code Copilot can use the tools immediately, provided they have the API key.

Yes. By using the shared configuration file, your entire engineering team can access tools like `list_profiles` and `list_jobs` in VS Code Copilot, ensuring everyone tests against the same active candidate pipelines.

You run the `parse_profile` tool directly from the chat interface. This lets your team inspect the structured JSON output of a resume and write accurate parser code together without switching to external testing tools.

Yes. The `ask_profile` tool allows you to query specific candidate details using natural language. Your agent will fetch the profile and answer questions about their skills or experience directly in the chat panel.

This integration uses enterprise-grade security protocols to protect candidate resumes and matching scores. All data is transmitted via secure, ephemeral connections, and Vinkius runs this MCP Server in an isolated sandbox that complies with strict IT security standards.

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