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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Cohere with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Empower RAG via Cohere. generate high-quality text embeddings, rerank documents for better accuracy, and perform AI classification directly from any AI agent.

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 · 5 capabilities

The complete Cohere capability set.

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

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 5 available through Cohere.

  1. 01

    List models

    List all available Cohere models on your plan

  2. 02

    Chat completion

    Generate conversational text responses using Cohere chat models

  3. 03

    Rerank documents

    Rerank documents by semantic relevance to a query

Capability set02 / 02

04-05

2 capabilities in this set.

Part of 5 available through Cohere.

  1. 04

    Tokenize text

    Tokenize text into token IDs for a specific model

  2. 05

    Embed texts

    Generate dense vector embeddings from text using Cohere models

Observed, not estimated

805ms average. Fast in production.

Cohere is checked daily against the live service.

Daily averagePeak 1007ms
Aug 20Today
Fastest day
678ms
Slowest day
1007ms
14-day trend
Slowing+8%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 5 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 Cohere, so you can see the experience inside your AI.

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

Cohere Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_K2rlWzCd7or9FAq78qCN7N91Fzl9RZitKXOe4TMF/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 — Cohere capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cohere-embed-rerank-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_K2rlWzCd7or9FAq78qCN7N91Fzl9RZitKXOe4TMF/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 Cohere owners ask.

  • 01

    Can my agent improve my RAG system's accuracy using Cohere?

    Yes. The 'rerank_documents' capability is specifically designed for this. Provide a query and a list of documents, and Cohere will reorder them based on semantic relevance, ensuring the most accurate context is fed to your LLM.

  • 02

    How do I test text classification via the agent?

    Use the 'classify_texts' capability. Provide your input strings and a few-shot JSON array of examples (text and label). The agent will return the predicted categories along with confidence scores from the Cohere engine.

  • 03

    What is the difference between Trial and Production keys?

    Trial keys are free for development but have strict rate limits (approx. 1,000 calls per month). Production keys remove these limits but require a paid plan. Both types work seamlessly with this server.

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