Cohere MCP Integration
Unified's Model Context Protocol server connecting Cohere's Command R+, Embed v3, and Rerank 3.5 models to customer integrations through tool-calling. Provides enterprise-grade embeddings and reranking for RAG pipelines and semantic search applications.
About this tool
Overview
Unified's MCP server connects Cohere to customer integrations through tool-calling, allowing Cohere to connect intelligence to structured SaaS data and authorized actions. Cohere provides state-of-the-art embedding models and reranking capabilities optimized for RAG (Retrieval Augmented Generation) pipelines.
Features
Embed Models (Embeddings)
Embed v4 - Latest multimodal embedding model:
- Converts text and images into numerical representations
- Captures semantic meaning for sophisticated applications
- Pricing: Embed v3 at $0.10/1M tokens
- Enables semantic search, clustering, and classification
Rerank Models
Rerank 4.0 - Newest and most performant foundational model:
- Sorts text inputs by semantic relevance to a specified query
- Pricing: Rerank 3.5 at $2/1K searches
- Dramatically improves RAG accuracy by filtering irrelevant documents
- Often used to sort search results from existing search solutions
Command Models
Command R+ for production-grade LLM capabilities:
- Tool-calling integration
- Multi-language support
- Enterprise features
Use Cases
RAG Pipelines
Cohere's sweet spot is RAG (Retrieval Augmented Generation):
- Embed v3 for creating embeddings
- Rerank 3.5 for improving search results
- Best-in-class combination at competitive prices
Applications
- Semantic search systems
- Document retrieval and ranking
- Knowledge base question answering
- Enterprise search optimization
- Multi-lingual applications
Free Tier
Cohere offers a free Trial API key with:
- 1,000 API calls per month
- Access to all models including Command R+, Rerank, and Embed
Integration
Integrate through:
- Unified's MCP server for tool-calling
- Direct Cohere API
- LangChain and other AI frameworks
- Platform SDKs (Python, TypeScript, Java, Go)
Technical Specifications
- Multiple embedding dimensions available
- Support for batch processing
- Real-time API endpoints
- Enterprise SLA options
Pricing
- Embed v3: $0.10/1M tokens
- Rerank 3.5: $2/1K searches
- Free Trial: 1,000 API calls/month
- Enterprise pricing available
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