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Cohere MCP server for AI agents and assistants

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Cohere MCP or direct API to generate text, create embeddings, classify inputs, and rerank results through natural language.

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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

Try Cohere now

Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
Cohere
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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.

SETUP GUIDE

Connect Cohere MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
Install the Composio SDK for Python or TypeScript
2

Initialize Client and Create Tool Router Session

typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
Import and initialize the Composio client, then create a Tool Router session for Cohere
3

Connect to AI Agent

typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'Generate a concise product description for an eco-friendly water bottle using Cohere generate.'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
Use the MCP server with your AI agent (Anthropic Claude or Mastra)
SETUP GUIDE

Connect Cohere API Tool with your Agent

1

Install Composio

typescript
npm install @composio/openai
Install the Composio SDK
2

Initialize Composio and Create Tool Router Session

typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
Import and initialize Composio client, then create a Tool Router session
3

Execute Cohere Tools via Tool Router with Your Agent

typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'Generate three marketing email subject lines for a new eco-friendly water bottle using Cohere generate.'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
Get tools from Tool Router session and execute Cohere actions with your Agent

Why Use Composio?

AI Native Cohere Integration

  • Supports both Cohere MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for reading, writing, and querying your Cohere data

Managed Auth

  • Built-in OAuth handling with automatic token refresh and rotation
  • Central place to manage, scope, and revoke Cohere access
  • Per user and per environment credentials instead of hard-coded keys

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Cohere
  • Scoped, least privilege access to Cohere resources
  • Full audit trail of agent actions to support review and compliance
FRAMEWORKS

Use Cohere with any AI Agent Framework

Choose a Framework you want to connect Cohere with

ChatGPT logo

ChatGPT

Use Cohere MCP with ChatGPT

Claude Cowork logo

Claude Cowork

Use Cohere MCP with Claude Cowork

Hermes logo

Hermes

Use Cohere MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Cohere MCP with Atomic Agent

Rolling this out across your team?

Give your team centralized access control across every framework with Composio’s MCP Gateway.

EXPLORE MCP GATEWAY
FAQ

Frequently asked questions

Yes, Cohere requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Yes. Composio is SOC 2 Type II compliant and is built to keep your Cohere connection and credentials secure. OAuth tokens and API keys are encrypted, and sensitive customer data is protected at rest and in transit.

Composio also undergoes independent security testing and continuously monitors its systems for security threats. You can review the latest reports and policies in the Composio Trust Center.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

Create the key in your Cohere account settings, then paste it once on Composio's connection page. Composio stores it encrypted and uses it only for the Cohere actions your agent runs. Nobody else in your workspace can read it, and you can revoke it inside Cohere at any time.

When you connect a Cohere account through Composio, every action runs under that account, so anything the agent creates, sends, or changes shows up in Cohere as done by you. Keep an approval step in your prompt for actions with side effects, such as sending or deleting, and have the agent draft first.

Whatever the credentials you connect allow inside Cohere. If Cohere lets you scope a key to specific permissions, create a scoped one so the agent can only do what you intend. You can revoke the key inside Cohere at any time.

Yes. Composio supports multiple connected accounts for the same app, and that works in Claude, ChatGPT, or any other assistant you connect through Composio. Give each Cohere connection a name such as work or personal, and the assistant uses the one you mention in the request. Each account keeps its own credentials and nothing is merged.

The connection stops working the moment Cohere rejects the old key. Create a new key in Cohere and reconnect the account from the Composio dashboard or by asking your agent to reconnect Cohere. Nothing else changes.

Composio's free Hobby plan includes 100,000 tool calls per month with no credit card, which covers most personal Cohere use. Paid plans add higher limits and team features. Your Cohere plan and its API limits still apply as usual.

Built-in connectors usually give one AI access to a limited set of apps. Many people use Composio because it lets their AI connect to more apps than it normally supports, or connect to multiple accounts for the same app (e.g. connect Claude to multiple Cohere accounts).

With Composio, you connect Cohere once and then use it across different AI assistants without setting it up separately in each one. Connect your apps to Composio once, then connect Composio to whichever AI you use, whether that's Claude, ChatGPT, Hermes, or your own custom assistant.

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

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