How to Use the Together AI Alternative MCP in LlamaIndex

Q: What is the best way to use Together AI Alternative and LlamaIndex together?

Use the tools for initial data extraction—like running createembeddings on a document. Then, index those embeddings into your vector store for enhanced retrieval.

Q: Does the MCP Server support various content types with Together AI Alternative and LlamaIndex?

Yes. You can handle text via completions (createtextcompletion), images using createimagegeneration, or even videos via createvideogeneration—all of which can be indexed.

Q: Can I query past configurations with Together AI Alternative and LlamaIndex?

You can. By indexing metadata from calls like listfinetunes, your LlamaIndex application allows users to ask questions about the system's history and configuration.

Build knowledge-augmented RAG apps with LlamaIndex using Together AI Alternative.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Together AI Alternative MCP to LlamaIndex

Create your Vinkius account to connect Together AI Alternative to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Together AI Alternative with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Ground answers in API data

LlamaIndex can index the outputs of the MCP Server into a searchable knowledge base. For example, after running `create_chat_completion`, you can save that output and query it later for semantic context. This capability lets your LlamaIndex application answer questions based on live API data—not just generalized training knowledge.

Process and structure media content

The server provides robust tools for handling different media types. You can use `create_audio_transcription` to turn an audio file into text, then index that transcript using LlamaIndex. Later, you might query the index to ask questions about past recorded meetings or uploaded documents.

Manage and update dedicated endpoints

You'll need reliable access points for your RAG system. Use `create_endpoint` to establish a predictable connection, then use `update_endpoint` when scaling is necessary. This ensures that the LlamaIndex application consistently accesses high-performance APIs needed for complex querying.

Setup guide

Set up Together AI Alternative MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Together AI Alternative MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Together AI Alternative tools.",
)
response = await agent.run("List recent Together AI Alternative data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Together AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Together AI Alternative now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Together AI Alternative MCP in LlamaIndex

LlamaIndex indexes tool outputs, turning them into vectors. When you query the system, it retrieves context directly from these API results, giving answers grounded in actual operational data.

Use the tools for initial data extraction—like running `create_embeddings` on a document. Then, index those embeddings into your vector store for enhanced retrieval.

Yes. You can handle text via completions (`create_text_completion`), images using `create_image_generation`, or even videos via `create_video_generation`—all of which can be indexed.

You can. By indexing metadata from calls like `list_fine_tunes`, your LlamaIndex application allows users to ask questions about the system's history and configuration.

This server touches file metadata, embeddings (vectors), and text completions. Always ensure that sensitive data is properly masked or handled before indexing it into your knowledge base.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript