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Vinkius

Integrate Ragas with Claude, Cursor, Chatbots & AI Agents MCP Server

Equip your AI with Ragas to create datasets, run RAG evaluations, and track experiment metrics directly from your workflow.
MCP Inspector GDPR Free for Subscribers

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
get

Get dataset on Ragas

Retrieves details for a specific evaluation dataset

get

Get experiment on Ragas

Retrieves detailed information for a specific experiment

get

Get results on Ragas

Retrieves the results of a completed experiment

list

List datasets on Ragas

Lists available evaluation datasets

list

List experiments on Ragas

Lists experiments associated with a specific dataset

list

List metrics on Ragas

Lists all available evaluation metrics

run

Run evaluation on Ragas

g., faithfulness, answer_relevancy). Triggers a new evaluation run for a dataset

Security & Code Integrity Audit

Every tool in the Ragas 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.

MCP Inspector
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.

What format is required to upload a dataset?

The tool uses common array formats through the MCP wrapper. When passing data, the AI maps arrays containing question, ground_truth and contexts natively matching Ragas base requirements.

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.

Supported Use Cases for Ragas

Build automated workflows with Cursor and Claude Code by connecting to the Ragas MCP server.

Autonomous rag Strategies

The Ragas connection gives ChatGPT direct access to rag tools. The integration handles the logic required for continuous ai frontier operations.

Scaling llm evaluation via MCP

Add llm evaluation functionality to your custom chatbots. The Ragas MCP handles the payload formatting required for ChatGPT and Claude to interface with ai frontier endpoints.

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