- REASONING
- ACCURACY
- ACTION
- HUMAN
Short answer
How can I build better conversational agents with my AI?
You connect Cohere Command models to your agent to give it better reasoning and the ability to use tools. This allows your agent to handle multi-step chats and provide cited answers. You'll see how the model interacts with your existing tools below.
The agent's output
Where your agent's logic lands.
What happens when you hand the reins to a Command model.
REASONING
Complex chat handling
The model processes deep context to maintain conversation flow. Your agent stays on track even during long, winding discussions.
ACCURACY
Citations and facts
The agent uses its reasoning to pull specific citations. You get answers that point back to the source material.
ACTION
Tool execution
The model identifies when it needs to use a tool to finish a task. It triggers the right action to get the job done.
HUMAN
Final review
The AI prepares the logic and the tool calls. You decide if the output is correct before it goes live.
The workflow
What your AI does when the connection is live.
The Command model acts as the brain for your agent's logic.
Model selection
Your agent looks at the available Cohere models to pick the right one for the task. It checks which versions are ready to use.
list_modelsContext processing
The model ingests your prompt and the conversation history. It uses this to understand the intent behind your request.
chatTool identification
When a request requires an external action, the model determines which tool to call. It formats the request to match the tool's needs.
chatResponse generation
The model wraps up the interaction by generating a natural response. It includes any necessary citations or tool results.
chat
Try it
Copy these to start.
Use these prompts to test the connection immediately.
Starting points
These are starting points. Swap out the specific data or tool names to fit your actual setup.
Cohere Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_R4ERIik35jE1vo5hRbvNHBrwGzLbWOtl3sZQNmPU/mcpClaude 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.
{
"mcpServers": {
"cohere-mcp": {
"url": "https://edge.vinkius.com/vk_preview_R4ERIik35jE1vo5hRbvNHBrwGzLbWOtl3sZQNmPU/mcp"
}
}
}List all available models so I can choose the best one for this chat.
Use the chat capability to summarize this specific document and provide citations.
Analyze this conversation history and tell me which tool I should call next.
Start a new chat session using the most advanced model available.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Cohere once, then ask.
Click the link to connect your account. Your credentials stay encrypted and secure, and you can start chatting with the models immediately.
Connect Cohere to your AIFAQ
Common questions
- 01
Can the AI change my Cohere account settings?
No. The agent can only use the tools provided in the manifest to chat and list models.
- 02
Does the AI delete my previous chat history?
No. The agent only reads and interacts with the data provided through the chat tool.
- 03
How do I know which models are available?
You can ask your agent to list the available models using the provided capability.
- 04
Can I use this with any MCP-compatible client?
Yes. Once connected via Vinkius, you can use it in Claude, Cursor, Windsurf, or VS Code.
- 05
Will the AI automatically send messages to my other apps?
No. The agent can only call tools that are explicitly defined in its toolset.
More questions about Cohere? See everything the Cohere Connector can do
Connect Cohere to Claude, Cursor, ChatGPT & more
