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Connect Cohere to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Bring enterprise-grade reasoning and search to your agent.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 6 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through Cohere.

  1. 01

    Tokenize

    This capability converts text into token IDs and strings. Use it to check token counts before sending data to other endpoints.

  2. 02

    Embed

    This capability generates vector embeddings for your text. You can choose different input types for tasks like search, classification, or clustering.

  3. 03

    Chat

    This capability sends messages to Cohere Command models. It supports roles like user and assistant, and returns responses with citations and capability calls.

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through Cohere.

  1. 04

    Detokenize

    This capability turns token IDs back into readable text. It is a quick way to verify your tokenization results during debugging.

  2. 05

    List models

    This capability lists all available Cohere models. It shows you names, capabilities, and context lengths so you know exactly what you can use.

  3. 06

    Rerank

    This capability reorders documents based on how well they match a specific query. It returns ranked results with relevance scores.

Real work

What teams actually run

01

Semantic Search Optimization

Use embeddings to index documents and reranking to ensure the most relevant results appear first.

02

Advanced Chatbot Logic

Connect Command models to your agent to handle complex conversations with capability call support.

03

Token Budget Management

Tokenize text before sending it to a model to avoid hitting context limits.

04

Data Clustering

Generate embeddings using the classification or clustering input types to organize large datasets.

Automate a task

Put Cohere to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Cohere works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Cohere to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

839ms average. Fast in production.

Cohere is checked daily against the live service.

Daily averagePeak 946ms
Oct 3Today
Fastest day
654ms
Slowest day
946ms
14-day trend
Slowing+9%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 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_R4ERIik35jE1vo5hRbvNHBrwGzLbWOtl3sZQNmPU/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-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_R4ERIik35jE1vo5hRbvNHBrwGzLbWOtl3sZQNmPU/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

Guided setup for Claude? Set up Cohere in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Cohere owners hand off.

This MCP is for technical users who need to integrate Cohere's specific model strengths into their AI workflows.

  • 01

    Developers

    They use the MCP to send messages and generate embeddings without writing HTTP requests.

  • 02

    ML Engineers

    They use it to compare model capabilities and generate various embedding types like int8 or binary.

  • 03

    Search Teams

    They use the reranking and embedding capabilities to build and refine search indexes.

FAQ

Questions Cohere owners ask.

  • 01

    How do I use Cohere with Claude or Cursor?

    You connect to this MCP through Vinkius. Once connected, your AI client will see the Cohere capabilities as available functions it can call.

  • 02

    What models can I access?

    You can access the Command family, including command-r-plus, command-r, and command-r7b, as well as various embedding and reranking models.

  • 03

    Do I need to write code to use these capabilities?

    No. This MCP exposes the functions as capabilities that your AI agent can invoke naturally through conversation or instruction.

  • 04

    Can I use this for semantic search?

    Yes. You can use the embed capability to create vectors and the rerank capability to improve the relevance of search results.

  • 05

    What is the purpose of the tokenize capability?

    The tokenize capability lets you see the token IDs and strings for a piece of text, which helps in estimating costs and managing context windows.

  • 06

    How do I get a Cohere API Key?

    Log in to the Cohere Dashboard, go to API Keys and click Create API Key. Copy the key immediately. it starts with a random string and won't be shown again. Free tier includes trial access with rate limits.

  • 07

    What models are available?

    Use the list_models capability to see all available Cohere models. Key models include command-r-plus (most capable, 128K context), command-r (efficient, 128K context), command-r7b (lightweight, 128K context), embed-v4 (embeddings) and rerank-v3.5 (reranking).

  • 08

    Can I send multi-turn conversations?

    Yes! Pass a messages array with alternating 'user', 'assistant' and 'system' roles. Each message has a 'role' and 'content' field. Command models support function calling and will return tool_calls when appropriate.

  • 09

    What is reranking and when should I use it?

    Reranking reorders a set of documents by their relevance to a query. Use it after an initial search to improve result quality. The rerank capability takes a query, list of documents and returns them ranked by relevance score. Cohere's rerank models are industry-leading for search applications.

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