vantageaiops-mcp

MCP server for VantageAI — track LLM costs and query analytics directly from your AI coding assistant.

Quick start

# 1. Get your API key (free)
# → https://vantageaiops.com/signup.html

# 2. Test the server works
VANTAGE_API_KEY=vnt_your_key npx -y vantageaiops-mcp

# 3. Add to your editor (see below)

Tools (12 total)

Analytics tools (require API key)

| Tool | Description | |------|-------------| | track_llm_call | Log an LLM call — tokens, cost, latency, model, team | | get_summary | MTD spend, today's cost, requests, budget status | | get_kpis | Full KPI table — cost, tokens, latency, efficiency | | get_model_breakdown | Cost + usage per model (customizable period) | | get_team_breakdown | Cost + usage per team for chargeback | | check_budget | Budget % used, remaining, over/under status | | get_traces | Recent multi-step agent traces with cost | | get_cost_gate | CI/CD gate — pass/fail vs budget (today/week/month) |

Optimizer tools (work offline, no API key needed)

| Tool | Description | |------|-------------| | optimize_prompt | Compress prompts to reduce token usage | | analyze_tokens | Count tokens and estimate cost for text | | estimate_costs | Compare costs across 24 models (OpenAI, Anthropic, Google, Meta, DeepSeek, Mistral) | | compress_context | Compress conversation history within a token budget |

Editor setup

Prerequisites

• Node.js 18+ required (node --version to check)
• All editors use npx -y vantageaiops-mcp — no local install needed

Claude Desktop

Config file: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "vantage": {
      "command": "npx",
      "args": ["-y", "vantageaiops-mcp"],
      "env": {
        "VANTAGE_API_KEY": "vnt_your_key_here"
      }
    }
  }
}

After saving: Fully quit Claude Desktop (menu bar → Quit, not just close window) and reopen it. Click the hammer icon to see VantageAI tools.

macOS tip: If npx is not found, use the full path. Run which npx in Terminal and use that (e.g. /opt/homebrew/bin/npx).

Claude Code (CLI)

Project-level — create .mcp.json in your project root:

{
  "mcpServers": {
    "vantage": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "vantageaiops-mcp"],
      "env": {
        "VANTAGE_API_KEY": "vnt_your_key_here"
      }
    }
  }
}

Global — add to ~/.claude/mcp.json (applies to all projects).

Verify: Run /mcp inside Claude Code — you should see "vantage" listed with 12 tools.

Cursor

Config file: ~/.cursor/mcp.json (or Cursor → Settings → MCP Servers)

{
  "mcpServers": {
    "vantage": {
      "command": "npx",
      "args": ["-y", "vantageaiops-mcp"],
      "env": {
        "VANTAGE_API_KEY": "vnt_your_key_here"
      }
    }
  }
}

After saving: Restart Cursor. Tools appear automatically in the AI chat.

Windsurf

Config file: ~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "vantage": {
      "command": "npx",
      "args": ["-y", "vantageaiops-mcp"],
      "env": {
        "VANTAGE_API_KEY": "vnt_your_key_here"
      }
    }
  }
}

After saving: Restart Windsurf. Cascade will have access to all VantageAI tools.

VS Code (Copilot Chat)

Config file: .vscode/mcp.json in your project root (VS Code 1.99+)

{
  "servers": {
    "vantage": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "vantageaiops-mcp"],
      "env": {
        "VANTAGE_API_KEY": "vnt_your_key_here"
      }
    }
  }
}

Cline (VS Code extension)

Open Cline → MCP Servers → Add Server → paste:

{
  "vantage": {
    "command": "npx",
    "args": ["-y", "vantageaiops-mcp"],
    "env": {
      "VANTAGE_API_KEY": "vnt_your_key_here"
    }
  }
}

Zed

Add to Zed settings.json (Zed → Settings → Open Settings):

{
  "context_servers": {
    "vantage": {
      "command": {
        "path": "npx",
        "args": ["-y", "vantageaiops-mcp"],
        "env": {
          "VANTAGE_API_KEY": "vnt_your_key_here"
        }
      }
    }
  }
}

JetBrains (IntelliJ, WebStorm, PyCharm)

Settings → Tools → AI Assistant → Model Context Protocol → Add server:

• Command: npx
• Arguments: -y vantageaiops-mcp
• Environment: VANTAGE_API_KEY=vnt_your_key_here

Environment variables

| Variable | Required | Default | Description | |----------|----------|---------|-------------| | VANTAGE_API_KEY | Yes | — | Your vnt_... API key (get one free) | | VANTAGE_ORG | No | auto-parsed from key | Org ID override | | VANTAGE_API_BASE | No | https://api.vantageaiops.com | Custom API base URL |

Example prompts

Once connected, try these in your AI assistant:

# Cost tracking
"How much have we spent on LLMs this month?"          → get_summary
"Which model is costing us the most?"                  → get_model_breakdown
"Show spending by team"                                → get_team_breakdown
"Are we within our AI budget?"                         → check_budget

# Logging
"Track this call: gpt-4o, 500 prompt, 120 completion tokens, $0.003"  → track_llm_call

# Optimization
"Compare costs for this prompt across all models"     → estimate_costs
"How many tokens is this text?"                        → analyze_tokens
"Compress this prompt to save tokens"                  → optimize_prompt

# CI/CD
"Are we safe to merge? Check today's AI spend"         → get_cost_gate
"Show recent agent traces"                             → get_traces

Troubleshooting

| Problem | Fix | |---------|-----| | Server not showing up | 1. Check node --version is 18+ 2. Verify JSON syntax (no trailing commas) 3. Fully restart the editor (quit + reopen) | | "npx not found" on macOS | Use full path: /opt/homebrew/bin/npx or /usr/local/bin/npx (run which npx) | | "VANTAGE_API_KEY is not set" | Add the env block with your key to the config | | Tools fail with 401 | Your API key is invalid or expired — get a new one at signup | | Tools return empty data | You haven't sent any events yet — use track_llm_call or integrate the SDK | | Timeout errors | Check internet connection; the API is at api.vantageaiops.com |

Supported models (for cost estimation)

OpenAI: gpt-4o, gpt-4o-mini, gpt-4-turbo, gpt-4, gpt-3.5-turbo, o1, o1-mini, o3-mini Anthropic: claude-sonnet-4, claude-3.5-sonnet, claude-3-opus, claude-3-haiku, claude-haiku-3.5 Google: gemini-2.0-flash, gemini-1.5-pro, gemini-1.5-flash, gemini-pro Others: llama-3.3-70b, deepseek-v3, deepseek-r1, mistral-large, mistral-small

Links

• Dashboard
• Full docs
• Python SDK
• JavaScript SDK
• GitHub