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

Q: How do I install Cognita (RAG Framework) in Cursor?

Add the server configuration to your global /.cursor/mcp.json file. Once saved, Cursor's agent mode can immediately invoke these MCP tools.

Q: How does Cursor use Cognita (RAG Framework) to generate code?

Cursor calls ragquery to fetch active transformation vectors during code generation. This lets the editor write functions using actual live schemas instead of outdated documentation.

Q: Can I ingest workspace files into Cognita (RAG Framework) from Cursor?

Yes. Tell Cursor's agent to use ingestdata to provision a JSON payload from your workspace files. The server then creates the necessary resource directories automatically.

Q: How do I check which models are active?

Your agent invokes listmodels to inspect internal arrays and verify picture constraints. This ensures Cursor only targets models that are compatible with your current deployment.

Inject real-time RAG context and manage Cognita pipelines while writing code inside Cursor using this MCP Server.

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Connect Cognita (RAG Framework) MCP to Cursor

Create your Vinkius account to connect Cognita (RAG Framework) to Cursor 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 Cursor

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Generate Code with Live RAG Context in Cursor

The `rag_query` tool identifies precise active arrays spanning rented Transformation vectors to feed real-time RAG context straight to Cursor's agent. Instead of writing code against mock data, your editor uses live database responses to generate accurate, working functions. This direct link allows your Cursor agent to write code that perfectly matches your active database schema. Skip the typical trial-and-error cycle of debugging vector queries manually.

Track Active Buckets with this Cursor MCP Server

The `list_data_sources` tool performs structural extraction of properties driving active Buckets directly inside your editing workspace. Cursor runs this tool to map your data sources before generating integration code. By pairing this with `list_collections`, your agent identifies bounded routing spaces inside the Headless Cognita RAG limit. You get an accurate map of your vector storage without leaving your current file.

Index Codebases and JSON Payloads Instantly

The `ingest_data` tool provisions a highly-available JSON Payload, generating new Resource directories directly from your Cursor terminal or chat. Point the editor to a local data file, and the agent structures it for ingestion immediately. To verify the ingestion, the agent executes `get_collection` to retrieve explicit Cloud logging tracing explicit Payload IDs. This gives you concrete proof of indexing right inside your editor's output console.

Setup guide

Set up Cognita (RAG Framework) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Cognita (RAG Framework) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Cognita (RAG Framework) transactions." If the MCP tools are loaded correctly, Cursor will call the Cognita (RAG Framework) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/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 Cursor

Add the server configuration to your global `~/.cursor/mcp.json` file. Once saved, Cursor's agent mode can immediately invoke these MCP tools.

Cursor calls `rag_query` to fetch active transformation vectors during code generation. This lets the editor write functions using actual live schemas instead of outdated documentation.

Yes. Tell Cursor's agent to use `ingest_data` to provision a JSON payload from your workspace files. The server then creates the necessary resource directories automatically.

Your agent invokes `list_models` to inspect internal arrays and verify picture constraints. This ensures Cursor only targets models that are compatible with your current deployment.

All JSON payloads processed by this MCP server run inside an isolated, zero-trust sandbox. Your vector paths and structural bucket properties are never cached or exposed outside your session.

Use it with your favorite AI tools

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

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