Bring Llm
to Cursor
Learn how to connect Together AI Alternative to Cursor and start using 27 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Together AI Alternative MCP Server?
Connect Together AI to your AI agent to leverage the world's fastest inference cloud for open-source models. This server provides a comprehensive suite of tools for generative AI, from text and image creation to advanced fine-tuning and batch processing.
What you can do
- Inference & Chat — Generate high-quality responses using models like Llama 3.3, Qwen, and Mixtral via chat or text completions.
- Media Generation — Create stunning images and videos from text prompts using state-of-the-art models like Flux and Stable Diffusion.
- Audio Services — Convert text to speech (TTS) or transcribe audio files (STT) with speaker identification.
- Advanced RAG — Generate vector embeddings and rerank documents to build high-performance search and retrieval systems.
- Model Management — Manage fine-tuning jobs, dedicated endpoints, and file uploads for custom model training.
- Batch Processing — Handle large-scale asynchronous workloads efficiently using the Batch API.
How it works
- Subscribe to this server
- Enter your Together AI API Key
- Start building with the most powerful open-source models directly from your MCP-compatible client
Who is this for?
- AI Developers — integrate cutting-edge LLMs and image models into your applications without managing infrastructure
- Data Scientists — fine-tune models on custom datasets and manage checkpoints seamlessly
- Product Teams — prototype and scale AI features using a unified, high-performance API
Built-in capabilities (27)
Cancel a running batch job
Text-to-Speech (TTS) generation
Transcriptions (STT) from audio file
Create a new asynchronous batch job
3-70B-Instruct-Turbo. Generate a model response for a given chat conversation
Turn text into vector embeddings
Create a dedicated endpoint for predictable performance
Create a fine-tuning job
Generate images from text prompts
Reorder documents by relevance to a query
Generate text completions for a given prompt
Create videos from text or image prompts
Delete a dedicated endpoint
Delete an uploaded file
Delete a fine-tuning job
Get details of a specific batch job
Get details of a specific dedicated endpoint
Retrieve metadata for a specific file
Get details of a specific fine-tuning job
List all batch jobs
List all dedicated endpoints
List all uploaded files
List checkpoints for a fine-tuning job
List all fine-tuning jobs
List all available models on Together AI
Update a dedicated endpoint (Start/Stop/Scale)
Upload a file for fine-tuning, evals, or batch inference
Why Cursor?
Cursor's Agent mode turns Together AI Alternative into an in-editor superpower. Ask Cursor to generate code using live data from Together AI Alternative and it fetches, processes, and writes. all in a single agentic loop. 27 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
- —
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
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Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
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MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
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VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Together AI Alternative in Cursor
Together AI Alternative and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Together AI Alternative to Cursor through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Together AI Alternative in Cursor
The Together AI Alternative 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. All 27 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Cursor only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Together AI Alternative for Cursor
Every tool call from Cursor to the Together AI Alternative MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I generate a chat response using a specific model like Llama 3.3?
Use the create_chat_completion tool. Specify the model name (e.g., 'meta-llama/Llama-3.3-70B-Instruct-Turbo') and provide an array of messages. The agent will return the generated response from the model.
Can I create images from text prompts with this server?
Yes! Use the create_image_generation tool. You can specify the model, the prompt description, and optional parameters like width, height, and steps to get high-quality visual outputs.
How can I check the status of my asynchronous batch jobs?
You can use list_batches to see all your current batch jobs or get_batch with a specific Job ID to retrieve detailed status and results for a particular task.
What is Agent mode and why does it matter for MCP?
Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.
Where does Cursor store MCP configuration?
Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.
Can Cursor use MCP tools in inline edits?
No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.
How do I verify MCP tools are loaded?
Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.
Tools not appearing in Cursor
Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.
Server shows as disconnected
Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.
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