Bring Llm
to CrewAI
Create your Vinkius account to connect Together AI to CrewAI and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the 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.
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
How it works
- Sign up for this integration
- Open your api.together.xyz control panel and fetch a developer API Key
- Plug the key above, specify models to your agent, and enjoy sub-second serverless inference directly inside your command interface
Who is this for?
- AI Developers — Orchestrate fine-tuning parameters and launch jobs to the compute cluster without CLI switching
- Software Engineers — Use the provider to test completions using alternative open-source solutions (e.g., Llama 3) natively in code editors
- Machine Learning Engineers — Bulk-generate vectors from raw logs using embedding models attached straight to their main conversational agent
Built-in capabilities (7)
Provide a model ID and a JSON array of messages. Executes a chat completion using Together AI models
Provide a base model ID and a training file ID. Creates a new fine-tuning job
Provide a model ID and a JSON array of strings. Generates vector embeddings for input texts
Provide a model ID and descriptive prompt. Generates an image from a text prompt
Lists all AI models available on Together AI
Lists all fine-tuning jobs
Provide a model ID and a prompt. Executes a base text completion
Why CrewAI?
When paired with CrewAI, Together AI becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Together AI tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Together AI in CrewAI
Why run Together AI with Vinkius?
The Together AI connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Together AI using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Together AI and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Together AI to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Together AI for CrewAI
Every request between CrewAI and Together AI is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Where do I obtain my Together AI API Key?
Log in to the developer portal via api.together.xyz/settings/api-keys. If you do not have an existing key, click Create API Key. This token enables the execution of remote inferences spanning their hosted clusters securely.
Do I have to pay to use Together models through the agent?
Yes. This connector simply routes your instructions to Together AI. Any tokens consumed during chat completion, embeddings, images generation, or fine-tuning workloads are billed directly to your registered Together AI account balance according to their official compute pricing models.
Can I access free models on Together AI?
Yes! Together AI frequently offers free tiers for certain open-source models intended for experimentation and research. You can query these directly from your agent without depleting your account balance, though specific free-tier rate limits will apply.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
Explore More MCP Servers
View all →
United Airlines
12 toolsTrack United Airlines flights, schedules, routes, delays, and fleet data in real-time via AI agents.

Dotloop
10 toolsManage real estate transactions via Dotloop — list loops, manage participants, and oversee documents.

Udesk / 沃丰科技
10 toolsComprehensive customer service platform — manage tickets, customers, and knowledge base via AI.

Landbot
8 toolsEmpower your AI to generate, route, and interact with conversational chatbots and customers naturally.
