Cohere (Embed & Rerank) MCP Server for Windsurf 6 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Cohere (Embed & Rerank) through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Cohere (Embed & Rerank) and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"cohere-embed-rerank": {
"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 (Embed & Rerank) MCP Server
Connect your Cohere account to any AI agent and take full control of your enterprise AI and RAG workflows through natural conversation.
Windsurf's Cascade agent chains multiple Cohere (Embed & Rerank) tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the 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
- Text Embeddings — Generate precise dense vector shapes for plain strings to power semantic search and knowledge retrieval
- Semantic Reranking — Structure contextual chunks by priority ordering documents against specific queries for improved RAG accuracy
- Conversational AI — Execute formatted conversational transformations using Cohere's generation limits and state-of-the-art LLMs
- Text Classification — Categorize inputs into predefined labels using few-shot training blocks and extract confidence scores
- Tokenization — Retrieve exact structural segmentation of NLP contexts to audit token counts and model dictionaries
- Model Registry — Enumerate available Cohere models and hashes to verify API availability based on your plan
The Cohere (Embed & Rerank) 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 (Embed & Rerank) to Windsurf via MCP
Follow these steps to integrate the Cohere (Embed & Rerank) 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 (Embed & Rerank)
Open Cascade and ask: "Using Cohere (Embed & Rerank), help me..." — 6 tools available
Why Use Windsurf with the Cohere (Embed & Rerank) MCP Server
Windsurf provides unique advantages when paired with Cohere (Embed & Rerank) 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 (Embed & Rerank) + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Cohere (Embed & Rerank) MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Cohere (Embed & Rerank) and generate models, types, or handlers based on real API responses
Live debugging: query Cohere (Embed & Rerank) tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Cohere (Embed & Rerank) and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Cohere (Embed & Rerank) data with Cascade's code generation to scaffold entire features in minutes
Cohere (Embed & Rerank) MCP Tools for Windsurf (6)
These 6 tools become available when you connect Cohere (Embed & Rerank) to Windsurf via MCP:
chat_completion
Execute explicitly formatted conversational transformations
classify_texts
Enumerate explicitly mapped string classes evaluating static limits
embed_texts
Identify precise dense vector shapes mapping semantic limits
list_models
Inspect internal properties detailing API availability
rerank_documents
Discover explicit routing arrays structuring specific contextual chunks
tokenize_text
Retrieve the exact structural segmentation limiting NLP contexts
Example Prompts for Cohere (Embed & Rerank) in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Cohere (Embed & Rerank) immediately.
"Generate embeddings for these texts: ['Hello world', 'Artificial Intelligence']"
"Rerank these documents for query 'Best pizza in NY': ['Pizza hut review', 'Joe's Pizza is the local favorite']"
"How many tokens are in the text: 'The quick brown fox jumps over the lazy dog'?"
Troubleshooting Cohere (Embed & Rerank) MCP Server with Windsurf
Common issues when connecting Cohere (Embed & Rerank) to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Cohere (Embed & Rerank) + Windsurf FAQ
Common questions about integrating Cohere (Embed & Rerank) 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 (Embed & Rerank) 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 (Embed & Rerank) to Windsurf
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.