How to Use the Cognita (RAG Framework) MCP in Claude

Q: How does Claude Desktop handle chunk searches with Cognita (RAG Framework)?

Claude Desktop calls searchchunks to parse structured rules. It uses these rules to export active Presets, ensuring your agent bases its answers on verified chunks.

Q: What models can this server inspect?

The listmodels tool inspects deep internal arrays to mitigate specific Picture constraints. Your agent checks this list to determine which models are available for your generation step.

Query and manage your Cognita (RAG Framework) pipelines directly inside Claude Desktop using this MCP Server.

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Connect Cognita (RAG Framework) MCP to Claude Desktop

Create your Vinkius account to connect Cognita (RAG Framework) to Claude Desktop 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 Claude Desktop

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Map Cognita Routing Spaces in Claude Desktop

The `list_collections` tool identifies bounded routing spaces inside your Headless Cognita RAG limit directly within your chat window. Your agent runs this command to scan your environment and map your existing knowledge bases without forcing you to dig through terminal logs. Once identified, ask Claude Desktop to drill down into specific active buckets. The tool extracts structural properties so you know exactly where your data resides before running complex vector operations.

Run Live Vector Queries from Chat

The `rag_query` tool identifies precise active arrays spanning rented Transformation vectors to pull relevant context directly into your Claude Desktop conversation. It replaces manual vector database searches by letting your agent grab exact matches automatically during your normal workflow. To refine the output, your agent coordinates with `search_chunks` to enumerate explicitly attached structured rules exporting active Presets. You get targeted, grounded answers right inside the chat window without copy-pasting raw JSON payloads.

Ingest New JSON Payloads via this MCP Server

The `ingest_data` tool provisions a highly-available JSON Payload, generating new Resource directories directly from Claude Desktop. This means you can drop raw data into your chat, and your agent immediately structures it for your RAG pipeline. After ingestion, the server uses `get_collection` to retrieve explicit Cloud logging tracing explicit Payload IDs. Get instant confirmation that your data is indexed and ready for immediate querying.

Setup guide

Set up Cognita (RAG Framework) MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Cognita (RAG Framework) MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Cognita (RAG Framework) MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under cognita-rag-framework-mcp.

json

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

Get your connection token →

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Common questions about Cognita (RAG Framework) MCP in Claude Desktop

Open your config file and add this MCP server configuration under the `mcpServers` key. Restart Claude Desktop, and the tools appear via the hammer icon.

Yes. Configure the connector in your browser settings by pasting your remote MCP server URL. Your web agent gets instant access to the exact same toolset.

Claude Desktop calls `search_chunks` to parse structured rules. It uses these rules to export active Presets, ensuring your agent bases its answers on verified chunks.

The `list_models` tool inspects deep internal arrays to mitigate specific Picture constraints. Your agent checks this list to determine which models are available for your generation step.

Your raw JSON payloads and Cloud logging IDs remain contained within Vinkius's secure sandbox. No external parties can access your active buckets or transformation vectors during processing.

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