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

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

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

The `get_model_info` tool 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.

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

Absolutely. Use the `create_team` tool 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.

LiteLLM (LLM Proxy & Spend Tracking) MCP Server for Cursor 10 tools — connect in under 2 minutes

Name: LiteLLM (LLM Proxy & Spend Tracking)
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 10 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install LiteLLM (LLM Proxy & Spend Tracking) and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "litellm-llm-proxy-spend-tracking": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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IAMAccess control

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DLPData protection

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Ed25519Audit chain

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About LiteLLM (LLM Proxy & Spend Tracking) MCP Server

Connect your LiteLLM Proxy instance to any AI agent and take full control of your LLM infrastructure, load balancing, and spend management through natural conversation.

Cursor's Agent mode turns LiteLLM (LLM Proxy & Spend Tracking) into an in-editor superpower. Ask Cursor to generate code using live data from LiteLLM (LLM Proxy & Spend Tracking) and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Key Orchestration — Generate and manage proxy API keys to isolate distinct microservices or teams, including precise budget and rate limit constraints directly from your agent
Model Routing Intelligence — Get detailed info on fallback paths (e.g., OpenAI -> Anthropic -> Groq) and verify exact routing endpoints assigned to your models
Real-time Spend Audit — Track total USD consumed by specific end-users or teams and monitor budget ceilings to ensure cost-effective AI deployments
Dynamic Model Control — Inject fresh routing endpoints (e.g., new AWS Bedrock or Azure OpenAI deployments) into your proxy runtime with zero downtime
Team & Organizational Isolation — Create and manage team profiles to track exact cost limits and operational boundaries per organizational division
Infrastructure Security — Instantly vaporize malicious or leaked keys and remove broken LLM deployments to prevent downstream 500 errors dynamically

The LiteLLM (LLM Proxy & Spend Tracking) MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect LiteLLM (LLM Proxy & Spend Tracking) to Cursor via MCP

Follow these steps to integrate the LiteLLM (LLM Proxy & Spend Tracking) MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using LiteLLM (LLM Proxy & Spend Tracking)

Open Agent mode in chat and ask: "Using LiteLLM (LLM Proxy & Spend Tracking), help me...". 10 tools available

Why Use Cursor with the LiteLLM (LLM Proxy & Spend Tracking) MCP Server

Cursor AI Code Editor provides unique advantages when paired with LiteLLM (LLM Proxy & Spend Tracking) through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

LiteLLM (LLM Proxy & Spend Tracking) + Cursor Use Cases

Practical scenarios where Cursor combined with the LiteLLM (LLM Proxy & Spend Tracking) MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

LiteLLM (LLM Proxy & Spend Tracking) MCP Tools for Cursor (10)

These 10 tools become available when you connect LiteLLM (LLM Proxy & Spend Tracking) to Cursor via MCP:

create_model

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

create_team

Generate pristine organizational isolation tracking exact cost limits per division

create_user

Insert specific End-User identities bridging Vinkius with Proxy logs

delete_key

Delete an existing LLM proxy key entirely

delete_model

Delete explicitly routed LLM deployments preventing 500s dynamically

generate_key

Generate a new proxy API key isolating distinct microservices or teams

get_key_info

Get configuration and budget bounds for a specific LiteLLM API Key

get_model_info

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

get_team_info

Get internal logic bounds matching multiple routing users via Team UUID

get_user_info

Return precise End-User abstractions tracking total USD consumed natively

Example Prompts for LiteLLM (LLM Proxy & Spend Tracking) in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with LiteLLM (LLM Proxy & Spend Tracking) immediately.

"List all active model fallback paths in LiteLLM"

"Generate a new API key for the 'Customer-Service' team with a $50 monthly budget"

"How much has user 'alex_dev' spent on LLM tokens today?"

Troubleshooting LiteLLM (LLM Proxy & Spend Tracking) MCP Server with Cursor

Common issues when connecting LiteLLM (LLM Proxy & Spend Tracking) to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

LiteLLM (LLM Proxy & Spend Tracking) + Cursor FAQ

Common questions about integrating LiteLLM (LLM Proxy & Spend Tracking) MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.