Together AI MCP Server for Windsurf 7 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Together AI 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 Together AI and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"together-ai": {
"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 Together AI MCP Server
Connect your Together AI account to any AI agent and integrate bleeding-edge open-source models seamlessly into your workflow. Harness world-class inference speeds to query Llama, Mixtral, and more, or orchestrate specialized model fine-tuning jobs straight from your chat environment.
Windsurf's Cascade agent chains multiple Together AI tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 7 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 — Explore and list all currently supported models on the Together network, identifying the best engine for any NLP or vision task
- Conversational AI — Run chat completion cycles on advanced models simply by supplying a model ID directly from the chat prompt
- Vector Storage Preparation — Generate instant rich embeddings for input texts, ready to populate your analytical databases
- Creative Media — Instruct external diffusion models to generate images using detailed physical descriptions
- Custom Fine-Tuning — Provision custom training runs by indicating a base framework and dataset file, alongside tracking existing job statuses
The Together AI MCP Server exposes 7 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 Together AI to Windsurf via MCP
Follow these steps to integrate the Together AI 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 Together AI
Open Cascade and ask: "Using Together AI, help me..." — 7 tools available
Why Use Windsurf with the Together AI MCP Server
Windsurf provides unique advantages when paired with Together AI 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 7 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Together AI + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Together AI MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Together AI and generate models, types, or handlers based on real API responses
Live debugging: query Together AI tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Together AI and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Together AI data with Cascade's code generation to scaffold entire features in minutes
Together AI MCP Tools for Windsurf (7)
These 7 tools become available when you connect Together AI to Windsurf via MCP:
chat_completion
Provide a model ID and a JSON array of messages. Executes a chat completion using Together AI models
create_finetune_job
Provide a base model ID and a training file ID. Creates a new fine-tuning job
generate_embeddings
Provide a model ID and a JSON array of strings. Generates vector embeddings for input texts
generate_image
Provide a model ID and descriptive prompt. Generates an image from a text prompt
list_available_models
Lists all AI models available on Together AI
list_finetune_jobs
Lists all fine-tuning jobs
text_completion
Provide a model ID and a prompt. Executes a base text completion
Example Prompts for Together AI in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Together AI immediately.
"List all the models currently available on Together AI."
"Generate an embedding array using model `togethercomputer/m2-bert-80M-8k-retrieval` for the sentence 'The cat sat on the mat'."
Troubleshooting Together AI MCP Server with Windsurf
Common issues when connecting Together AI to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Together AI + Windsurf FAQ
Common questions about integrating Together AI 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 Together AI 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 Together AI to Windsurf
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.