How to Use the Glean MCP in VS Code Copilot

Q: How do I configure Glean for my whole team in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root and add the server configuration. Every developer on your team will get access to the search and chat tools automatically.

Q: Can I search for internal subject matter experts using Glean in VS Code Copilot?

Yes. The searchpeople tool lets Copilot find the right engineers based on their documented contributions and profile data.

Q: How does Glean handle outdated files in VS Code Copilot?

Your agent can run deletedocument to purge old files from the index. This ensures future searches only return active, accurate documentation.

Q: What is the difference between search and searchbydatasource?

The search tool queries all connected platforms at once. The searchbydatasource tool limits the query to a single platform like Google Drive, reducing noise.

Share a unified corporate search config with your entire team inside VS Code Copilot.

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Connect Glean MCP to VS Code Copilot

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

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Query team knowledge bases in VS Code Copilot

The `search` tool queries your company's shared wikis and code repositories directly from the Copilot chat panel. Developers find setup guides and architecture decisions without opening a browser. Running `search_by_datasource` allows you to isolate your queries to specific platforms like Slack or Confluence. This keeps your search focused and prevents irrelevant code snippets from cluttering your results.

Manage your document index from this MCP Server

This MCP Server uses `index_document` to add local markdown files and architecture decision records to the company-wide knowledge base. Your changes become searchable for the rest of the engineering team instantly. If a doc becomes obsolete, `delete_document` removes it from the index. This prevents your team from pulling up stale guidelines during code generation.

Run direct search chats with this MCP Server

The `chat` tool connects Copilot's chat interface directly to your company's internal knowledge model. This lets you ask complex questions about legacy systems and get answers based on real company docs. Use `check_glean_status` to confirm the API connection is active before initiating a session. It ensures your queries won't time out due to configuration errors.

Setup guide

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

.vscode/mcp.json

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

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Common questions about Glean MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and add the server configuration. Every developer on your team will get access to the `search` and `chat` tools automatically.

Yes. The `search_people` tool lets Copilot find the right engineers based on their documented contributions and profile data.

Your agent can run `delete_document` to purge old files from the index. This ensures future searches only return active, accurate documentation.

The `search` tool queries all connected platforms at once. The `search_by_datasource` tool limits the query to a single platform like Google Drive, reducing noise.

Vinkius processes your files and queries inside single-use, ephemeral V8 sandboxes. No search queries or document contents are cached, keeping your company's private data entirely secure.

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