What AI clients can I use with this MCP?

You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

Do I need my own Cohere API key?

Yes, you will need to provide your own Cohere API key, whether it is a Trial or Production key from your dashboard.

How does this help with RAG?

It allows your agent to generate embeddings for search and rerank documents to ensure the most relevant information is provided to the model.

Can I check if a specific model is available?

Yes, you can use the list_models capability to see which Cohere models are available on your specific plan.

Is this hosted by Vinkius?

Yes, Vinkius hosts and manages the MCP, so you don't have to worry about running the connection yourself.

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.

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.

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.

An astronaut overseeing a futuristic data hub

Download PDF Markdown Version

Connect Cohere Embed Rerank 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. Build better RAG pipelines through natural conversation.

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.

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.

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 · 5 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 5 available through Cohere.

01
Embed texts
This capability creates dense vector embeddings from your text strings for semantic search.
02
Tokenize text
Get the exact token IDs for a piece of text to see how a specific model will process it.
03
Rerank documents
This capability reorders a list of documents based on how well they match a specific query.

Capability set02 / 02

04-05

2 capabilities in this set.

Part of 5 available through Cohere.

04
Chat completion
Use this to generate conversational text responses using Cohere's chat models.
05
List models
This capability shows you every Cohere model available under your current plan.

Real work

What teams actually run

RAG Optimization

Improve the quality of your agent's answers by reranking retrieved documents for better relevance.

Automated Labeling

Categorize large batches of text into specific labels using few-shot classification.

Search Engine Prototyping

Build and test semantic search capabilities using dense vector embeddings.

Token Management

Verify how much space your text will take up in a model's context window.

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.

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

868ms average. Fast in production.

Cohere is checked daily against the live service.

Daily averagePeak 970ms

Oct 3Today

Fastest day: 664ms
Slowest day: 970ms
14-day trend: Stable+2%

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.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
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

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 built for technical users who need to bridge the gap between conversational AI and specialized NLP tasks.

01
AI Developers
They use the MCP to test embedding and reranking logic without writing boilerplate code.
02
Data Scientists
They evaluate how well semantic matching and classification work in real time.
03
LLM Engineers
They audit tokenization and model availability for complex workflows.

FAQ

Questions Cohere owners ask.

01
What AI clients can I use with this MCP?
You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.
02
Do I need my own Cohere API key?
Yes, you will need to provide your own Cohere API key, whether it is a Trial or Production key from your dashboard.
03
How does this help with RAG?
It allows your agent to generate embeddings for search and rerank documents to ensure the most relevant information is provided to the model.
04
Can I check if a specific model is available?
Yes, you can use the list_models capability to see which Cohere models are available on your specific plan.
05
Is this hosted by Vinkius?
Yes, Vinkius hosts and manages the MCP, so you don't have to worry about running the connection yourself.
06
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.
07
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.
08
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.

Explore

More in AI Frontier

Connect Cohere to Claude, Cursor, ChatGPT & more

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

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Embed texts

Tokenize text

Rerank documents

04-05

Chat completion

List models

What teams actually run

RAG Optimization

Automated Labeling

Search Engine Prototyping

Token Management

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

Cohere Connector

Claude Desktop

AI Developers

Data Scientists

LLM Engineers

What AI clients can I use with this MCP?

Do I need my own Cohere API key?

How does this help with RAG?

Can I check if a specific model is available?

Is this hosted by Vinkius?

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

How do I test text classification via the agent?

What is the difference between Trial and Production keys?

Marqo AI (Vector Search & Embeddings) AI Connector

Typesense Vector Search AI Connector

Elasticsearch Vector AI Connector

MongoDB Atlas Vector Search AI Connector

Suggestions

Vertex AI Vector Search AI Connector

Lucidworks Fusion (AI Search & Discovery) AI Connector

Redis Vector AI Connector

Vertex AI Search AI Connector