How to Use the Modash MCP in VS Code Copilot

Standardize influencer research in VS Code Copilot. Bring verified Modash metrics to your entire engineering team.

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Connect Modash MCP to VS Code Copilot

Create your Vinkius account to connect Modash 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 Modash with VS Code Copilot

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Standardized search in VS Code Copilot

Share influencer research tools across your team. By committing the Modash server config to your repo, every developer gets access to `search_youtube` and `search_instagram` immediately. This ensures your team uses the same data sources for every project. No more fragmented research or inconsistent influencer discovery methods across your engineering group.

Programmatic reporting in VS Code Copilot

Automate your reporting pipeline by calling `get_tiktok_report` directly from your chat. The agent handles the data retrieval, allowing you to process large lists of creators at scale. Your workflows become repeatable and auditable. Every team member can run the same reports to verify engagement data without needing specialized access to the dashboard.

Scale discovery with VS Code Copilot

Use `list_brands` and `list_languages` to standardize how you categorize influencers. The agent uses these inputs to generate consistent queries across all your team's marketing tools. You maintain high data quality across your entire organization. By relying on standardized IDs, your team stops guessing which creators fit your brand's specific needs.

Setup guide

Set up Modash 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 Modash 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 Modash tools listed. Try asking: "List my recent Modash transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Common questions about Modash MCP in VS Code Copilot

Place your mcp.json in the .vscode folder of your repository. Once committed, your team pulls the configuration and gains access to the same influencer tools.

The server operates within your defined security parameters. Your API keys remain environment-bound, and the data remains within your controlled development environment.

The server works on all VS Code versions supporting MCP. It is built to handle team-wide usage, making it a natural fit for your existing engineering workflows.

Since you manage the server configuration, you can monitor your API usage patterns. This helps your team stay within rate limits while performing influencer research.

Data is fetched directly from the API and handed to the agent. No influencer profile reports are stored or logged by the MCP server itself, ensuring your research remains private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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