Cohere MCP Server for Windsurf 6 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Cohere through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
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Vinkius supports streamable HTTP and SSE.
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.
Windsurf's Cascade agent chains multiple Cohere tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 6 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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 Windsurf 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 Windsurf via MCP
Follow these steps to integrate the Cohere MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Cohere
Open Cascade and ask: "Using Cohere, help me...". 6 tools available
Why Use Windsurf with the Cohere MCP Server
Windsurf provides unique advantages when paired with Cohere through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 6 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Cohere + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Cohere MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Cohere and generate models, types, or handlers based on real API responses
Live debugging: query Cohere tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Cohere and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Cohere data with Cascade's code generation to scaffold entire features in minutes
Cohere MCP Tools for Windsurf (6)
These 6 tools become available when you connect Cohere to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Cohere to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Cohere + Windsurf FAQ
Common questions about integrating Cohere MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.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 Windsurf
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.