Overview
Access Cohere models optimized for RAG, embeddings, enterprise NLP, and command models.
Setup
Run with npx:
npx -y @modelcontextprotocol/server-cohereConfiguration
COHERE_API_KEY environment variableDocumentation
Cohere MCP (Enhanced)
Overview
Cohere MCP provides access to Cohere's models, optimized for RAG, embeddings, and enterprise NLP tasks.
Features
- RAG-optimized models
- Embedding generation
- Enterprise NLP
- Command models
- Search and rerank
Installation
npx -y @modelcontextprotocol/server-cohere
Configuration
Set the COHERE_API_KEY environment variable:
export COHERE_API_KEY=your_cohere_api_key
Get your API key from https://dashboard.cohere.com/api-keys.
Available Models
| Model | Description |
|---|---|
command-r-plus | Most capable model |
command-r | Balanced model |
embed-english-v3.0 | Embedding model |
rerank-english-v3.0 | Reranking model |
Usage Examples
Chat Completion
{
"model": "command-r-plus",
"message": "Explain machine learning"
}
Embeddings
{
"model": "embed-english-v3.0",
"texts": ["Hello world", "AI is amazing"]
}
Pros
- ✅ RAG-optimized
- ✅ Excellent embeddings
- ✅ Enterprise-ready
- ✅ Search and rerank
Cons
- ❌ Requires Cohere API key
- ❌ Smaller ecosystem
- ❌ Limited model variety
