# How to integrate Cohere MCP with Atomic Agent

```json
{
  "title": "How to integrate Cohere MCP with Atomic Agent",
  "toolkit": "Cohere",
  "toolkit_slug": "cohere",
  "framework": "Atomic Agent",
  "framework_slug": "atomic-agent",
  "url": "https://composio.dev/toolkits/cohere/framework/atomic-agent",
  "markdown_url": "https://composio.dev/toolkits/cohere/framework/atomic-agent.md",
  "updated_at": "2026-09-29T05:33:36.159Z"
}
```

## Introduction

Atomic Agent is an open-source AI agent that runs on your machine and supports local models through llama.cpp. Connect it to 1,500+ apps through Composio, including Cohere.
This guide uses Atomic Agent's built-in Composio integration. You need Atomic Agent v0.5.6 or later, your own Composio API key, and a Cohere account. See the [Atomic Agent documentation](https://atomicagent.io/docs/?cta_placement=atomic-agent-docs) for installation instructions.

## Also integrate Cohere with

- [ChatGPT](https://composio.dev/toolkits/cohere/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/cohere/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/cohere/framework/hermes-agent)

## TL;DR

### How Atomic Agent connects to Cohere
Atomic Agent connects to Composio's Tool Router over Streamable HTTP MCP. It discovers the tools needed for your request, and Composio handles account authentication.
Execution and account-connection tools follow Atomic Agent's configured approval policy. Review any approval prompt before allowing an action on your connected account.

## Connect Cohere to Atomic Agent

### Connect Cohere to Atomic Agent
- Sign up or sign in to the [Composio dashboard](https://dashboard.composio.dev/?cta_placement=atomic-agent-api-key). Copy your API key.
- In Atomic Agent, open the Integrations tab and select Composio. Select API key, press e, paste the key, and press Enter. The tools become available immediately, without a restart.
- Ask Atomic Agent to do something in Cohere. It searches Composio for the right tool.
- On first use, open the sign-in link returned in the chat. Connect your Cohere account, then return to Atomic Agent to continue.
### Headless setup
Add the following line to ~/.atomic-agent/.env, replacing YOUR_COMPOSIO_API_KEY with your key. Start Atomic Agent after saving the file.

```bash
COMPOSIO_API_KEY=YOUR_COMPOSIO_API_KEY
```

## 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 so your agent can perform Cohere operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `COHERE_CANCEL_BATCH` | Cancel Batch | Cancel one in-progress Cohere batch. This requires a production Cohere API key, stops the batch irreversibly, and cannot be undone. |
| `COHERE_CANCEL_EMBED_JOB` | Cancel Embed Job | Irreversibly cancel one active Cohere asynchronous embed job by ID. Cohere accrued charges for work processed before cancellation still apply, and partial results are not available. Cancel only a caller-owned job. This action sends one request and does not poll for the cancelled state. |
| `COHERE_CHAT` | Chat | Generate one non-streaming Cohere chat response from an ordered conversation, optionally using documents, tools, structured output, or reasoning controls. |
| `COHERE_CHECK_API_KEY` | Check API Key | Check whether the connected Cohere API key is valid and return its organization and owner identifiers when available. |
| `COHERE_CREATE_BATCH` | Create Batch | Start one asynchronous Cohere batch from an existing validated batch request dataset and return immediately without polling. Cohere requires a production API key for the Batch API. |
| `COHERE_CREATE_DATASET` | Create Dataset | Upload a Cohere dataset and start asynchronous validation. Returns immediately without waiting for validation to finish. |
| `COHERE_CREATE_EMBED_JOB` | Create Embed Job | Start one asynchronous Cohere embedding job for a validated embed-input dataset and return immediately without polling. |
| `COHERE_DELETE_DATASET` | Delete Dataset | Permanently delete a Cohere dataset by ID. This deletion cannot be undone. |
| `COHERE_DETOKENIZE_TOKENS` | Detokenize Tokens | Convert ordered Cohere token IDs back to text using the tokenizer for an explicit matching model. |
| `COHERE_EMBED_INPUTS` | Embed Inputs | Create v2 embeddings from exactly one input form: text strings, image data URIs, or structured multimodal content. |
| `COHERE_GET_BATCH` | Get Batch | Retrieve one asynchronous Cohere batch's status and counters by batch ID. A usable batch ID depends on a production-key CREATE_BATCH lifecycle; this action performs one read only, and callers control any bounded polling. |
| `COHERE_GET_DATASET` | Get Dataset | Retrieve one Cohere dataset by ID, including its asynchronous validation state, schema, files, parsing details, and metrics. Callers control any polling and should bound it. |
| `COHERE_GET_DATASET_USAGE` | Get Dataset Usage | Read the organization's Cohere dataset-storage consumption in bytes. |
| `COHERE_GET_EMBED_JOB` | Get Embed Job | Retrieve one Cohere asynchronous embedding job's current status, model, and input and output dataset identifiers by job ID. |
| `COHERE_GET_MODEL` | Get Model | Retrieve a Cohere model's endpoint compatibility, context size, features, tokenizer, and default sampling parameters by model name. |
| `COHERE_LIST_BATCHES` | List Batches | Return one page of asynchronous Cohere batches and their statuses without creating or cancelling work. |
| `COHERE_LIST_DATASETS` | List Datasets | Return one offset-based page of Cohere datasets, optionally filtered by type, validation status, or creation time. Cohere provides no total or continuation metadata, so callers control offset explicitly. |
| `COHERE_LIST_EMBED_JOBS` | List Embed Jobs | List Cohere asynchronous embedding jobs and their current statuses. |
| `COHERE_LIST_MODELS` | List Models | Discover Cohere model names and capabilities, optionally filtered to an endpoint or its default model. Returns one page without auto-pagination. |
| `COHERE_RERANK_DOCUMENTS` | Rerank Documents | Rank text documents by relevance to a query and return the highest-scoring source documents. |
| `COHERE_TOKENIZE_TEXT` | Tokenize Text | Convert text into token IDs with an explicit Cohere model. Detokenization must use the same model because token IDs differ between model tokenizers. |
| `COHERE_TRANSCRIBE_AUDIO` | Transcribe Audio | Transcribe an uploaded audio file to text with a Cohere transcription model. |

## Supported Triggers

None listed.

## Troubleshooting

### Why is my API key rejected?

Copy the key directly from the Composio dashboard. Atomic Agent requires ASCII characters because it sends the key in an HTTP header. Remove any extra characters introduced when copying.

### Why are Composio tools unavailable after saving a key?

Check that you use Atomic Agent v0.5.6 or later and that Composio is enabled in your configuration. A "composio": { "enabled": false } setting disables the integration while keeping the saved key on disk.

### Does Composio have a free plan?

The Hobby plan includes 100,000 tool calls per month. Composio-managed OAuth apps have a lower included allowance. See [Composio pricing](/pricing) for the current limits that apply to your connection.

## Complete Code

None listed.

## Conclusion

### Use Cohere from Atomic Agent
With your account connected, ask Atomic Agent to work with Cohere in natural language. You can connect more apps through the same Composio integration as you need them.
Visit the [Atomic Agent website](https://atomicagent.io/?cta_placement=atomic-agent-site) or inspect the [Atomic Agent source code](https://github.com/AtomicBot-ai/atomic-agent?cta_placement=atomic-agent-repo).

## How to build Cohere MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/cohere/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/cohere/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/cohere/framework/hermes-agent)

## Related Toolkits

- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
- [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service.
- [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows.
- [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.
- [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows.
- [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application.
- [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities.
- [AltTextLab](https://composio.dev/toolkits/alt_text_lab) - AltTextLab is an AI service that generates accessible, SEO-aware alt text for images. It helps teams make image content easier to understand, index, and publish.
- [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization.
- [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications.
- [Apiframe](https://composio.dev/toolkits/apiframe) - Apiframe is an API platform for generating and managing AI images, videos, music, uploads, assets, jobs, and custom LoRAs. It gives developers one clean API for creative AI workflows without juggling multiple model providers.
- [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations.
- [Arize AX](https://composio.dev/toolkits/arize_ax) - Arize AX is an AI engineering platform for tracing, evaluating, and improving AI applications. Use it to debug LLM behavior, compare experiments, and improve production AI quality.
- [Artificial Analysis](https://composio.dev/toolkits/artificial_analysis) - Artificial Analysis is an independent benchmarking platform for AI models and API providers. Use it to compare model intelligence, coding, math, pricing, latency, throughput, and arena rankings.
- [AssemblyAI](https://composio.dev/toolkits/assemblyai) - AssemblyAI is a speech-to-text and audio intelligence API for uploaded or hosted media. Use it to turn audio and video into accurate transcripts, summaries, and insights.
- [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key.
- [Avoma](https://composio.dev/toolkits/avoma) - Avoma is an AI meeting assistant for recording, transcribing, analyzing, and managing meetings, calls, notes, scorecards, and conversation intelligence. It helps teams turn conversations into searchable notes, follow-ups, coaching insights, and revenue intelligence.
- [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient.
- [Bland AI](https://composio.dev/toolkits/bland_ai) - Bland AI is a conversational AI platform for building voice agents, phone calls, messaging, and communication workflows. Use it to automate calling, evaluate conversations, and run voice operations at scale.
- [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Cohere MCP?

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.

### Can I use Tool Router MCP with Atomic Agent?

Yes, you can. Atomic Agent 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.

### Can I manage the permissions and scopes for Cohere while using Tool Router?

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.

### How safe is my data with Composio Tool Router?

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.

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