Integrate Cognita (RAG Framework) with Claude, Cursor, Chatbots & AI Agents MCP Server

Manage modular RAG via Cognita — list collections, ingest data sources, and perform AI-driven Q&A directly from any AI agent.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

get

Get collection on Cognita (RAG Framework)

Retrieve explicit Cloud logging tracing explicit Payload IDs

ingest

Ingest data on Cognita (RAG Framework)

Provision a highly-available JSON Payload generating new Resource directories

list

List collections on Cognita (RAG Framework)

Identify bounded routing spaces inside the Headless Cognita RAG limit

list

List data sources on Cognita (RAG Framework)

Perform structural extraction of properties driving active Buckets

list

List models on Cognita (RAG Framework)

Inspect deep internal arrays mitigating specific Picture constraints

rag

Rag query on Cognita (RAG Framework)

Identify precise active arrays spanning rented Transformation vectors

Search chunks on Cognita (RAG Framework)

Enumerate explicitly attached structured rules exporting active Presets

Security & Code Integrity Audit

Every tool in the Cognita (RAG Framework) MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

How can I trigger a data ingestion pipeline through the agent?

Provide the collection name and the data source FQN (Fully Qualified Name). The 'ingest_data' tool will command the Cognita backend to start a sync, updating your RAG vector space with the latest remote documents.

How does the AI access my passwords and credentials?

It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.

What happens if the underlying API rate limits my agent?

Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.

Cognita (RAG Framework) Capabilities for AI Assistants

The Cognita (RAG Framework) MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.

Next-Gen rag framework Automation

Integrate Cognita (RAG Framework) for AI-driven rag framework management. The MCP server structures the outputs required for Claude to analyze friends mcp data.

Next-Gen vector search Automation

Deploy the Cognita (RAG Framework) toolkit to manage vector search. The integration offers robust endpoints for ChatGPT to control friends mcp settings.