How to Use the Cognita (RAG Framework) MCP in VS Code Copilot

Q: How do we roll out Cognita (RAG Framework) to our team in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root and commit it. Any developer using VS Code Copilot 1.96+ will automatically load the MCP server tools.

Q: How does VS Code Copilot handle chunk searches with Cognita (RAG Framework)?

Copilot uses the searchchunks tool to find structured rules and active presets. This ensures the code explanations it generates are grounded in your actual ingested database documents.

Q: Can we ingest new data sources through Cognita (RAG Framework) in VS Code Copilot?

Yes. Developers can use the chat interface to trigger ingestdata, which provisions a JSON payload and generates new resource directories on your secure host.

Q: How do I inspect model configurations?

The listmodels tool lets your agent inspect deep internal arrays. This helps you verify picture constraints and choose the correct generation model for your pipeline.

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Connect Cognita (RAG Framework) MCP to VS Code Copilot

Create your Vinkius account to connect Cognita (RAG Framework) 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 Cognita (RAG Framework) with VS Code Copilot

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Share RAG Tooling Across Your VS Code Team

The `list_collections` tool identifies bounded routing spaces inside the Headless Cognita RAG limit using a shared team configuration. By committing an MCP config to your repo, every developer on your team gets instant access to these routing spaces inside VS Code Copilot. This setup eliminates individual configuration headaches. Your team queries the same vector spaces consistently, maintaining a unified development environment across the entire organization.

Debug RAG Pipelines Using this VS Code MCP Server

The `get_collection` tool retrieves explicit Cloud logging tracing explicit Payload IDs directly inside your Copilot Chat window. When a query fails, your agent pulls the exact logs to pinpoint the issue without forcing you to log into a separate cloud console. Instantly cross-reference these logs with `search_chunks` to enumerate explicitly attached structured rules. This workflow makes debugging pipeline errors a conversational process within your IDE.

Query Enterprise Vector Databases Safely

The `rag_query` tool identifies precise active arrays spanning rented Transformation vectors to deliver secure, context-aware answers to Copilot. Your enterprise codebase context is combined with live database records to answer complex architectural questions. Because VS Code Copilot operates in agent mode, it can run these queries autonomously to solve coding tickets. The agent pulls only the relevant chunks, keeping responses highly focused.

Setup guide

Set up Cognita (RAG Framework) 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 Cognita (RAG Framework) 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 Cognita (RAG Framework) tools listed. Try asking: "List my recent Cognita (RAG Framework) transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Common questions about Cognita (RAG Framework) MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and commit it. Any developer using VS Code Copilot 1.96+ will automatically load the MCP server tools.

Copilot uses the `search_chunks` tool to find structured rules and active presets. This ensures the code explanations it generates are grounded in your actual ingested database documents.

Yes. Developers can use the chat interface to trigger `ingest_data`, which provisions a JSON payload and generates new resource directories on your secure host.

The `list_models` tool lets your agent inspect deep internal arrays. This helps you verify picture constraints and choose the correct generation model for your pipeline.

All Cloud logging tracing IDs and ingested payloads are processed within this secure MCP sandbox. No data persists on the hosting infrastructure once your query session ends.

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