Cohere MCP Server for Cline 6 tools — connect in under 2 minutes
Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Cohere through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.
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Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Cohere and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"cohere": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Cohere MCP Server
Connect your Cohere account to any AI agent and leverage enterprise-grade AI models through natural conversation.
Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Cohere tool calls without waiting for prompts between steps. Connect 6 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.
What you can do
- Model Discovery — List all available Cohere models with their names, capabilities and context lengths
- Chat API — Send conversations to Command models (command-r-plus, command-r, command-r7b) and receive responses with citations and tool call support
- Embeddings — Generate vector embeddings for semantic search with multiple embedding types (float, int8, uint8, binary)
- Reranking — Rerank documents by relevance to a search query using Cohere's industry-leading reranking models
- Tokenization — Tokenize and detokenize text for estimating token counts and debugging
The Cohere MCP Server exposes 6 tools through the Vinkius. Connect it to Cline in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Cohere to Cline via MCP
Follow these steps to integrate the Cohere MCP Server with Cline.
Open Cline MCP Settings
Click the MCP Servers icon in the Cline sidebar panel
Add remote server
Click "Add MCP Server" and paste the configuration above
Enable the server
Toggle the server switch to ON
Start using Cohere
Ask Cline: "Using Cohere, help me...". 6 tools available
Why Use Cline with the Cohere MCP Server
Cline provides unique advantages when paired with Cohere through the Model Context Protocol.
Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing
Cohere + Cline Use Cases
Practical scenarios where Cline combined with the Cohere MCP Server delivers measurable value.
Autonomous feature building: tell Cline to fetch data from Cohere and scaffold a complete module with types, handlers, and tests
Codebase refactoring: use Cohere tools to validate live data while Cline restructures your code to match updated schemas
Automated testing: Cline fetches real responses from Cohere and generates snapshot tests or mocks based on actual payloads
Incident response: query Cohere for real-time status and let Cline generate hotfix patches based on the findings
Cohere MCP Tools for Cline (6)
These 6 tools become available when you connect Cohere to Cline via MCP:
chat
Requires the model ID (e.g. "command-r-plus", "command-r", "command-r7b") and messages array in JSON format. Each message must have a "role" ("user", "assistant", "system" or "tool") and "content" (text or array of content blocks). Optionally set max_tokens, temperature (0-1), p (nucleus sampling 0-1) and tools array for function calling. Returns the model's response with text, citations and tool calls. Send a chat message to a Cohere model
detokenize
Requires the token IDs array. Returns the reconstructed text. Useful for debugging and verifying tokenization. Detokenize token IDs back to text using Cohere
embed
Requires the model ID (e.g. "embed-v4", "embed-v3"), texts array and input_type ("search_document", "search_query", "classification", "clustering"). Returns embedding vectors for each input text. Useful for semantic search, similarity comparison and vector database storage. Generate embeddings using Cohere
list_models
Each model returns its name (e.g. "command-r-plus", "command-r", "embed-v4", "rerank-v3.5"), endpoint compatibility, context length and tokenization info. Use this to discover which models are available and their capabilities. List all available Cohere models
rerank
Requires the model ID (e.g. "rerank-v3.5", "rerank-english-v3.0"), query text and documents array. Optionally set top_n to return only the top N results. Returns ranked documents with relevance scores. Rerank documents by relevance to a query
tokenize
Requires the text to tokenize and optionally the model. Returns the list of token IDs and token strings. Useful for estimating token counts before sending to chat or embed endpoints. Tokenize text using Cohere
Example Prompts for Cohere in Cline
Ready-to-use prompts you can give your Cline agent to start working with Cohere immediately.
"Send a message to Command R+ asking 'What is the capital of Brazil?'"
"Rerank these documents for the query 'machine learning models': ['Neural networks are inspired by biological neurons.', 'Python is a popular programming language.', 'Transformers use attention mechanisms for sequence processing.']"
"Generate embeddings for these texts: ['The weather is nice today.', 'I love programming in Python.'] using embed-v4."
Troubleshooting Cohere MCP Server with Cline
Common issues when connecting Cohere to Cline through the Vinkius, and how to resolve them.
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Cohere + Cline FAQ
Common questions about integrating Cohere MCP Server with Cline.
How does Cline connect to MCP servers?
Can Cline run MCP tools without approval?
Does Cline support multiple MCP servers at once?
Connect Cohere with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Cohere to Cline
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.