Cohere (AI Platform)

Cohere (AI Platform) MCP Connector for Claude

A+

Power enterprise AI via Cohere — generate text, perform chat completions, reorder documents, and manage embeddings directly from any AI agent.

5 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Connect your Cohere platform account to any AI agent and take full control of your generative AI and language processing workflows through natural conversation.

What you can do

  • Chat & Text Generation — Execute formatted conversational transformations and fetch sequential token strings using state-of-the-art LLMs like Command
  • Semantic Reranking — Structure contextual chunks by priority ordering documents against specific queries to improve RAG accuracy
  • Text Embeddings — Generate precise dense vector shapes for plain strings to power high-dimensional semantic search and similarity matching
  • Input Classification — Categorize text into predefined labels using few-shot training blocks and audit confidence scores
  • Structural Tokenization — Retrieve exact integer segments matching active token dictionaries bound by specific Cohere encoding models
  • Model Discovery — Enumerate available hashes and model identifiers to verify API capability branches on your plan

How it works

  1. Subscribe to this server
  2. Enter your Cohere API Key (Trial or Production key from the Dashboard)
  3. Start managing your generative AI workflows from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • AI Developers — test and debug chat completion and text generation logic using natural language
  • Data Scientists — evaluate embedding quality and reranking performance for RAG pipelines in real-time
  • Product Teams — quickly prototype generative features using enterprise-grade language models
  • Engineers — audit tokenization and model availability for complex NLP application boundaries
llmgenerative-ainatural-language-processingchat-completionrerankingai-api

5 tools expose this connector's capabilities to your AI agent.

generate_embeddings

Generate dense vector embeddings from text using Cohere models

rerank_documents

Rerank documents by semantic relevance to a query

chat_completion

Generate conversational text responses using Cohere chat models

tokenize_text

Tokenize text into token IDs for a specific model

list_models

List all available Cohere models on your plan

See how to talk to your AI agent using Cohere (AI Platform).

Generate a summary of this article: [article text]

Generating summary... I've synthesized the main points of the article using the Command model. The summary highlights the key findings and conclusions in a concise format.

Generate embeddings for these 3 product descriptions

Embeddings generated! I have the high-dimensional vector representations for all 3 descriptions. They are ready to be indexed for your semantic search feature.

Rerank these search results for 'AI implementation guide': [result_1, result_2, result_3]

Reranking complete! I've reordered the results based on their semantic relevance to your query. Result_3 is now the top recommendation with a 98% relevance score.

Yes. The 'generate_text' and 'chat_generation' tools allow you to leverage Cohere's Command models. You can provide prompts for anything from copywriting to code generation, and the agent will return the synthesized token strings.

Related Connectors