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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. Power enterprise AI via Cohere. generate text, perform chat completions, reorder documents, and manage embeddings 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

Waiting for input…

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

    Rerank documents

    Rerank documents by semantic relevance to a query

  2. 02

    Chat completion

    Generate conversational text responses using Cohere chat models

  3. 03

    Generate embeddings

    Generate dense vector embeddings from text using Cohere models

Capability set02 / 02

04-05

2 capabilities in this set.

Part of 5 available through Cohere.

  1. 04

    List models

    List all available Cohere models on your plan

  2. 05

    Tokenize text

    Tokenize text into token IDs for a specific model

Observed, not estimated

822ms average. Fast in production.

Cohere is checked daily against the live service.

Daily averagePeak 963ms
Aug 20Today
Fastest day
661ms
Slowest day
963ms
14-day trend
Slowing+15%

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_fA1l2oqJxpD7QL48YxxEDHfZLGLU7FMkmFVJY7Ft/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-ai-platform-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_fA1l2oqJxpD7QL48YxxEDHfZLGLU7FMkmFVJY7Ft/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 use Cohere to generate creative or technical text?

    Yes. The 'generate_text' and 'chat_generation' capabilities allow you to leverage Cohere's Command models. You can provide prompts for anything from copywriting to code generation, and the agent will return the synthesized token strings.

  • 02

    How do I perform high-dimensional vector searches with Cohere?

    Use the 'generate_embeddings' capability. Provide an array of texts, and your agent will return the precise dense vector shapes (floats). These can then be stored in a vector database like Chroma or ClickHouse for similarity matching.

  • 03

    Can I audit token usage before sending a long prompt?

    Absolutely. The 'tokenize_text' capability retrieves the exact structural segmentation of your text based on the specific model's dictionary. This allows you to verify token counts and manage your context window limits efficiently.

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