How to connect Cohere to Grok Bot

Connect Grok Bot to Cohere MCP. Generate product descriptions with cohere generate, classify customer messages with cohere classify, and more using natural language, with authentication handled for you.

Cohere logoCohere
Api Key

Cohere is an enterprise provider of language and multimodal AI models for generation, embeddings, and classification. Use Cohere for high-quality text generation, scalable embeddings, reranking, and classification across workflows.

22 Tools

Introduction

Grok is xAI's assistant, and its bot builder lets you create a personal agent that holds context, runs skills, and connects to the apps you already use through plugins.

This guide explains how to connect Cohere to a Grok bot using Composio Connect, which handles OAuth, token refresh, and reliability so you do not have to. You add Composio as a plugin, authenticate once, then ask your bot to work with Cohere in plain language.

Also integrate Cohere with

Why use Composio?

Composio exposes 1,700+ apps to your Grok bot through a single connection, so you get:

  • Connect to 1,700+ apps with on-demand tool loading, so you do not fill your context window with unnecessary tool definitions.
  • Use programmatic tool calling through a remote workbench, letting the model write its own code to handle complex tool chaining. This reduces back-and-forth for frequent tool calls.
  • Handle large tool responses outside the model context to keep conversations lean.

Connecting Cohere to Grok Bot

Once Grok Bot is set up, you connect Cohere entirely from its interface, and the whole flow takes under a minute.

Set up Grok Bot

Get access. Grok Bot is included with Cursor Ultra, Cursor Premium Teams, and SuperGrok Heavy. Get the desktop app for macOS or Windows from x.ai/bot and sign in. An iPhone companion app is also available, and your bots sync across devices.

Create a bot. Pick a suggested role or define your own, then give it a short name, one primary job, and a short description of how it should work. Focused bots work best, because a clear role gives the bot more useful context over time.

Connect Cohere

1. Add the Composio plugin

Click the button. The Composio listing on x.ai opens and launches Grok Bot for you. If the app does not open on its own, click Add to Grok Bot.

Add to Grok Bot

Composio for Grok Bot listing on x.ai with the Add to Grok Bot button

Grok Bot opens the Composio plugin, showing its connector and skills. Click Add.

Composio plugin sheet in Grok Bot with the Add button

2. Authenticate

Go to the Installed section and click the Composio entry. You'll see its connector and skills listed.

Installed Composio plugin showing the Authenticate button

Click Authenticate. You'll be taken to the Composio consent screen. Review the access it requests and click Authorize. Composio handles the OAuth handshake for you, so you never touch API keys or tokens.

Composio authorization screen with Authorize and Deny

3. Connect your Cohere account

Back in the chat, ask your bot to connect to Cohere or give it any Cohere task.

For example, ask it to:

  • "Generate product descriptions with Cohere generate"
  • "Classify customer messages with Cohere classify"
  • "Create embeddings for search using Cohere embeddings"

It will prompt you to authenticate and authorize access.

That's it. Composio's tools are now available in your Grok bot, and your Cohere account is ready to use.

What is Grok Bot?

Grok is xAI's assistant, available as a chat interface and a bot builder for creating personal agents that run skills and connect to external apps.

With Composio Connect, your Grok bot can securely access apps like Cohere through MCP without you sharing account credentials directly with the agent.

What is the Cohere MCP server, and what's possible with it?

The Cohere MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Cohere account. It provides structured and secure access to Cohere chat, embedding, reranking, transcription, and dataset workflows, so your agent can generate chat responses, create embeddings, rank documents, transcribe audio, and manage processing jobs on your behalf.

  • Chat and structured responses: Have your agent generate responses from ordered conversations, use supporting documents, call tools, apply reasoning controls, or return structured output.
  • Embeddings and token processing: Direct your agent to create embeddings from text, images, or structured multimodal content, and tokenize or detokenize text with a selected Cohere model.
  • Document relevance ranking: Let the agent rerank text documents against a query and return the most relevant source content.
  • Audio transcription: Instruct your agent to transcribe uploaded audio files into text using a Cohere transcription model.
  • Datasets and processing jobs: Have your agent upload and inspect datasets, create or cancel batch and embedding jobs, check their progress, and review available Cohere models.

Way Forward

Now that Cohere is connected, extend your setup by connecting the other apps you already use every day, so your Grok bot can run true cross-app workflows end to end.

  • Connect Calendar to turn threads into scheduled meetings automatically.
  • Connect Slack or Teams to post summaries, approvals, and alerts where your team works.
  • Connect Notion, Linear, Jira, or Asana to convert requests into tickets, tasks, and docs.
  • Connect Drive, Dropbox, or OneDrive to fetch, file, and share attachments without manual steps.

Start with one workflow you do repeatedly, then keep adding apps as you find new handoffs. With everything behind a single connection, your bot can coordinate multiple tools safely and reliably in one conversation.

TOOLS

Supported Tools

Every Cohere action and event your agent gets out of the box.

Cancel Batch

Cancel one in-progress Cohere batch.

Cancel Embed Job

Irreversibly cancel one active Cohere asynchronous embed job by ID.

Chat

Generate one non-streaming Cohere chat response from an ordered conversation, optionally using documents, tools, structured output, or reasoning controls.

Check API Key

Check whether the connected Cohere API key is valid and return its organization and owner identifiers when available.

Create Batch

Start one asynchronous Cohere batch from an existing validated batch request dataset and return immediately without polling.

Create Dataset

Upload a Cohere dataset and start asynchronous validation.

Create Embed Job

Start one asynchronous Cohere embedding job for a validated embed-input dataset and return immediately without polling.

Delete Dataset

Permanently delete a Cohere dataset by ID.

Detokenize Tokens

Convert ordered Cohere token IDs back to text using the tokenizer for an explicit matching model.

Embed Inputs

Create v2 embeddings from exactly one input form: text strings, image data URIs, or structured multimodal content.

Get Batch

Retrieve one asynchronous Cohere batch's status and counters by batch ID.

Get Dataset

Retrieve one Cohere dataset by ID, including its asynchronous validation state, schema, files, parsing details, and metrics.

Get Dataset Usage

Read the organization's Cohere dataset-storage consumption in bytes.

Get Embed Job

Retrieve one Cohere asynchronous embedding job's current status, model, and input and output dataset identifiers by job ID.

Get Model

Retrieve a Cohere model's endpoint compatibility, context size, features, tokenizer, and default sampling parameters by model name.

List Batches

Return one page of asynchronous Cohere batches and their statuses without creating or cancelling work.

List Datasets

Return one offset-based page of Cohere datasets, optionally filtered by type, validation status, or creation time.

List Embed Jobs

List Cohere asynchronous embedding jobs and their current statuses.

List Models

Discover Cohere model names and capabilities, optionally filtered to an endpoint or its default model.

Rerank Documents

Rank text documents by relevance to a query and return the highest-scoring source documents.

Tokenize Text

Convert text into token IDs with an explicit Cohere model.

Transcribe Audio

Transcribe an uploaded audio file to text with a Cohere transcription model.

FAQ

Frequently asked questions

With a standalone Cohere MCP server, the agents and LLMs can only access a fixed set of Cohere tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Cohere and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Grok Bot fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Cohere tools.

Yes, absolutely. You can configure which Cohere scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Cohere data and credentials are handled as safely as possible.

Start with Cohere.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Cohere tool your agent needs.Free to start.

Start building