- LIVE
- CLEAN
- AUDIT
- MANUAL
Short answer
How can I change my model endpoints using an AI?
You tell your agent to add or remove specific models from your LiteLLM proxy. It uses direct tool calls to modify your routing configuration instantly. You'll see the changes reflected in your proxy traffic immediately.
Routing outcomes.
Where your changes land.
What happens when your agent modifies the proxy.
LIVE
New endpoints active
The agent uses create_model to register a new endpoint. Your traffic starts hitting the new model right away.
CLEAN
Broken models removed
When a deployment fails, the agent uses delete_model to pull it from the proxy. This stops requests from hitting dead endpoints.
AUDIT
Current config view
The agent uses get_model_info to check which models are currently active. You get a clear picture of your routing state.
MANUAL
Human oversight
The agent handles the technical execution, but you decide which models are safe to add or remove. You maintain final control over your spend and routing logic.
The workflow
What your AI does when <the thing arrives>.
Your agent acts as a bridge between your chat interface and the LiteLLM proxy configuration.
Inspect current routing
The agent checks the existing proxy setup to see what models are currently available for use.
get_model_infoRegister new models
When you want to expand your options, the agent adds the new model details to the proxy.
create_modelRemove failing endpoints
If a specific deployment is throwing errors, the agent strips it from the routing table.
delete_modelVerify the change
The agent runs a final check to ensure the routing table matches your requested state.
get_model_info
Try it
Copy these to start.
Use these prompts to begin managing your LiteLLM proxy.
Starting points
These are basic commands. Swap out the model names and provider details for your specific setup.
LiteLLM Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_km5X3hHTZMwK6l421yD2vEs8yb47UeU5zl6r4SJ6/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — LiteLLM capabilities are ready to use.
{
"mcpServers": {
"litellm-llm-proxy-spend-tracking-mcp": {
"url": "https://edge.vinkius.com/vk_preview_km5X3hHTZMwK6l421yD2vEs8yb47UeU5zl6r4SJ6/mcp"
}
}
}Show me all the models currently configured in my LiteLLM proxy.
Add a new model endpoint for openai/gpt-4o to my proxy.
Remove the failing anthropic/claude-3-opus deployment from my routing.
Check the details for the model named 'production-llama-3'.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect LiteLLM once, then ask.
One connection gives your agent full access to your proxy tools. Your credentials stay encrypted and secure.
Connect LiteLLM to your AIFAQ
How this task behaves.
- 01
Can the AI change my API keys?
No. The agent can only manage model endpoints and routing via the provided tools.
- 02
Will the AI delete all my models by mistake?
No. The agent only deletes specific models that you explicitly tell it to remove.
- 03
Does this work with any proxy?
No. This specific MCP is built specifically for LiteLLM proxy management.
- 04
Can the AI monitor my total spend?
No. While LiteLLM tracks spend, the tools in this MCP are for model routing and management only.
- 05
How do I know if a model was successfully added?
The agent will use the info tool to verify the new model exists in the proxy after it creates it.
More questions about LiteLLM? The Connector page answers them. See everything the LiteLLM Connector can do
Connect LiteLLM to Claude, Cursor, ChatGPT & more
