INDIVIDUAL MCP TOOL

together_list_models

List Together's models with type (chat, language, code, image, embedding, moderation, rerank), context length, organization, license and per-token pricing.

usefulapi.ionone authenticationAvailability not checked

LIVE ENDPOINT

https://together-ai.usefulapi.io/mcp

No auth detected

Connect to this endpoint to inspect the live schema for together_list_models and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

A tool name, description or schema mentions credentials.

Parent server

usefulapi.io

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.together-ai-mcp]
url = "https://together-ai.usefulapi.io/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "together-ai-mcp": {
      "type": "http",
      "url": "https://together-ai.usefulapi.io/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: together-ai-mcp
Remote MCP URL: https://together-ai.usefulapi.io/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "together-ai-mcp": {
      "url": "https://together-ai.usefulapi.io/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "together-ai-mcp": {
      "type": "http",
      "url": "https://together-ai.usefulapi.io/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "together-ai-mcp",
  "transport": "streamable-http",
  "url": "https://together-ai.usefulapi.io/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

together_whoami — Identify the API key: its organization, project and project slug.
together_list_files — List uploaded data files (fine-tune, eval and batch-api inputs, plus job outputs) with size, type, purpose and validation status.
together_get_file — Fetch one file's metadata, including its processing_status and validation_report (why a fine-tune training file was rejected).
together_list_fine_tunes — List fine-tuning jobs with status, base model, output model name and training settings.
together_get_fine_tune — Fetch one fine-tuning job: status, progress, hyperparameters, token counts, cost and the output model name.
together_list_fine_tune_events — List the event log of one fine-tuning job (queued, started, checkpoint saved, epoch completed, errors).
together_list_batches — List batch inference jobs with status, progress, model and input/output/error file ids.
together_get_batch — Fetch one batch job: status (VALIDATING, IN_PROGRESS, COMPLETED, FAILED, EXPIRED, CANCELLED), progress, and the output_file_id / error_file_id once done.