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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use LiteLLM with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage your LLM gateway via LiteLLM. generate API keys, track spending, and orchestrate model fallback paths.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 10 capabilities

The complete LiteLLM capability set.

These are the exact actions your AI can choose when you ask it to work with LiteLLM.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through LiteLLM.

  1. 01

    Create team

    Generate pristine organizational isolation tracking exact cost limits per division

  2. 02

    Create user

    Insert specific End-User identities bridging Vinkius with Proxy logs

  3. 03

    Delete model

    Delete explicitly routed LLM deployments preventing 500s dynamically

  4. 04

    Generate key

    Generate a new proxy API key isolating distinct microservices or teams

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through LiteLLM.

  1. 05

    Get key info

    Get configuration and budget bounds for a specific LiteLLM API Key

  2. 06

    Get model info

    Get array endpoints tracing exact Fallback paths like OpenAI -> Anthropic

  3. 07

    Get team info

    Get internal logic bounds matching multiple routing users via Team UUID

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through LiteLLM.

  1. 08

    Create model

    Inject completely fresh routing endpoints (ex: new Bedrock Llama 4 endpoints)

  2. 09

    Delete key

    Delete an existing LLM proxy key entirely

  3. 10

    Get user info

    Return precise End-User abstractions tracking total USD consumed natively

Observed, not estimated

823ms average. Fast in production.

LiteLLM is checked daily against the live service.

Daily averagePeak 1022ms
Aug 20Today
Fastest day
699ms
Slowest day
1022ms
14-day trend
Stable+2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of LiteLLM, so you can see the experience inside your AI.

It does not authenticate your account with LiteLLM. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

LiteLLM Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_km5X3hHTZMwK6l421yD2vEs8yb47UeU5zl6r4SJ6/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — LiteLLM capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "litellm-llm-proxy-spend-tracking-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_km5X3hHTZMwK6l421yD2vEs8yb47UeU5zl6r4SJ6/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions LiteLLM owners ask.

  • 01

    Can I check the budget and rate limits for a specific proxy key?

    Yes. Use the get_key_info capability with the specific Key ID. Your agent will retrieve the exact rate limits, budget constraints, and current RPM usage associated with that token.

  • 02

    How do I see the model fallback paths configured in my proxy?

    The get_model_info capability allows your agent to extract the global model directory. You'll see the exact fallback chains (e.g., if OpenAI fails, use Anthropic) and the physical endpoints assigned to each model name.

  • 03

    Can my agent create a new team to track specific division costs?

    Absolutely. Use the create_team capability and provide a JSON payload defining the team name and optional budget limits. Your agent will provision the new team identity in LiteLLM, allowing for precise organizational cost tracking.

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