Integration

302.AI integration

302.AI is an AI model aggregator that serves many providers' models behind one OpenAI-compatible API and one key. List the available models, send chat completions to any chat model, create text embeddings, and read the account balance. Streaming and asynchronous calls, the Responses API, image, video and audio generation and the platform's tool APIs are not exposed. Authentication is an API key created in the 302.AI dashboard under API KEYS, sent as a Bearer token in the Authorization header.

Connect 302.AI How integrations work

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in 302.AI.Built from the 4 302.AI tools below, on the connection you add once.

What you can do with 302.AI

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Balance, 1 operation

get_balanceGet balanceGETReturns the remaining balance of the 302.AI account. The API key must have the permission for this call enabled.

Chat completion, 1 operation

create_chat_completionCreate chat completionPOSTCreates a chat completion with a chat model served by 302.AI (OpenAI-compatible): send model and messages, get the reply in choices[0].message.content plus token usage.

Embedding, 1 operation

create_embeddingsCreate embeddingsPOSTCreates embedding vectors for a text with an embedding model (OpenAI-compatible). Each input may be up to 8192 tokens; vectors are returned in data[].embedding.

Model, 1 operation

list_modelsList modelsGETLists the models currently available on 302.AI (id and object). llm=1 returns only language models, llm=0 only the other models, omitted returns all.

Use 302.AI from Claude Code, Cursor or Codex

Connect 302.AI in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its 302.AI operations become tools the client can call, next to every other integration you connected.

Claude Code

claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"

Codex (~/.codex/config.toml)

[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"

Cursor, Claude Desktop and other JSON configs

{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect 302.AI

Create your workspace
Sign up free. Nothing to install.
Connect 302.AI once
Add your 302.AI connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.
Describe the job in chat
The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.