Bring Llm
to LlamaIndex
Learn how to connect Together AI Alternative to LlamaIndex 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 LlamaIndex?
LlamaIndex agents combine Together AI Alternative tool responses with indexed documents for comprehensive, grounded answers. Connect 27 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Together AI Alternative tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Together AI Alternative tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Together AI Alternative, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Together AI Alternative tools were called, what data was returned, and how it influenced the final answer
Together AI Alternative in LlamaIndex
Together AI Alternative and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Together AI Alternative to LlamaIndex 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 LlamaIndex
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 LlamaIndex 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 LlamaIndex
Every tool call from LlamaIndex 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.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Together AI Alternative tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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