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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Ragas with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Equip your AI with Ragas to create datasets, run RAG evaluations, and track experiment metrics directly from your workflow.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 7 capabilities

The complete Ragas capability set.

These are the exact actions your AI can choose when you ask it to work with Ragas.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Ragas.

  1. 01

    List datasets

    Lists available evaluation datasets

  2. 02

    Get results

    Retrieves the results of a completed experiment

  3. 03

    Get dataset

    Retrieves details for a specific evaluation dataset

  4. 04

    Get experiment

    Retrieves detailed information for a specific experiment

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Ragas.

  1. 05

    List experiments

    Lists experiments associated with a specific dataset

  2. 06

    List metrics

    Lists all available evaluation metrics

  3. 07

    Run evaluation

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

Observed, not estimated

859ms average. Fast in production.

Ragas is checked daily against the live service.

Daily averagePeak 940ms
Aug 20Today
Fastest day
648ms
Slowest day
940ms
14-day trend
Slowing+24%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Ragas, so you can see the experience inside your AI.

It does not authenticate your account with Ragas. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Ragas Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_mQUV7klN4rh09rRcp9ld3cwceCP25oL5Lk8res4B/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Ragas capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ragas-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_mQUV7klN4rh09rRcp9ld3cwceCP25oL5Lk8res4B/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Ragas owners ask.

  • 01

    How do I secure an App Token for Ragas?

    Log into your provided Ragas dashboard. In your project's settings or dedicated security section, you will find the ability to generate a new Application Token. Copy it immediately, as it may only appear once.

  • 02

    What format is required to upload a dataset?

    The capability 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.

  • 03

    Does the server evaluate prompts automatically during testing?

    Yes. When triggering evaluations, Ragas uses its own sophisticated metrics (like Faithfulness, Answer Relevance) running internally. The MCP server simply pipes these generated reports back to your chat.

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