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How to Use the Wiktionary MCP in VS Code Copilot

Get definitions and summaries for your whole team using Wiktionary with VS Code Copilot.

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Works with every AI agent you already use

…and any MCP-compatible client

Wiktionary MCP on Cursor AI Code Editor MCP Client Wiktionary MCP on Claude Desktop App MCP Integration Wiktionary MCP on OpenAI Agents SDK MCP Compatible Wiktionary MCP on Visual Studio Code MCP Extension Client Wiktionary MCP on GitHub Copilot AI Agent MCP Integration Wiktionary MCP on Google Gemini AI MCP Integration Wiktionary MCP on Lovable AI Development MCP Client Wiktionary MCP on Mistral AI Agents MCP Compatible Wiktionary MCP on Amazon AWS Bedrock MCP Support
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VS Code Copilot

Connect Wiktionary MCP to VS Code Copilot

Create your Vinkius account to connect Wiktionary 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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Team-wide access via MCP Server.

The biggest win here is committing the `.vscode/mcp.json` file to your repository. This means every single developer on the team gets immediate, standardized access to Wiktionary's tools. It solves the 'who remembers to set up the server' problem and ensures everyone uses the same, correct data source for definitions.

Using `get_word_definition` with Copilot Chat.

Need a developer to quickly check if a client needs to know what 'quantum entanglement' means? You prompt Copilot Chat, and the agent calls `get_word_definition`. The definition is presented directly in the chat panel. This keeps you focused on coding while having instant access to external linguistic knowledge. It’s built right into your existing workflow.

Integrating summaries via Copilot Chat.

When tackling a complex design pattern, don't waste time Googling the background. Use `get_word_summary` to have Copilot Chat pull a concise summary of the topic right into your chat feed. This is especially useful for onboarding new team members who need rapid context on domain-specific jargon.

Setup guide

Set up Wiktionary 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. 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. 2

    Add the Wiktionary 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. 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. 4

    Verify the connection

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

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

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

You create or update the `.vscode/mcp.json` file in your project root, adding the server details under `mcpServers`. Commit that file to Git, and everyone on the team gets it.
Yes, because the configuration is managed via a committed JSON file and adheres to standard VS Code practices, it's designed for organization-wide rollout. It maintains SOC 2 compliance standards.
This server only reads general linguistic information: word definitions and topic summaries. Since this is external knowledge, it never touches your proprietary source code or local machine files.
You can prompt the chat to define specific technical terms used in your tests. This ensures that both you and the AI are using identical definitions, making your test cases more reliable.
The server setup is ideally done via Git-shared configuration files, meaning it's team-managed. It relies on the standard MCP connection method within VS Code 1.96+.

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