Which providers are supported?
The server connects to OpenAI, Anthropic, AWS, GCP, Stripe, and more, covering 16 providers in total.
@tje8x
Track and optimize AI API spending across 16 providers. Real-time pricing, model routing analysis, caching opportunities, unit economics, and spend forecasting. Connects to OpenAI, Anthropic, AWS, GCP, Stripe, and more.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"anvx": {
"command": "uv",
"args": [
"run",
"--directory",
"/path/to/token-economy-intel",
"python",
"mcp-server/server.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
An MCP server that tracks and optimizes AI API spending across 16 providers. It offers real-time pricing, model routing analysis, caching opportunities, unit economics, and spend forecasting. Designed for teams using OpenAI, Anthropic, AWS, GCP, Stripe, and more.
Add the server to an MCP host and call its tools. Use list_providers to see supported services, connect_account to link billing data, get_financial_overview for a dashboard, query_spending for detailed breakdowns, get_recommendations for optimizations, detect_anomalies for unusual patterns, and get_setup_status to check integration progress.
The server connects to OpenAI, Anthropic, AWS, GCP, Stripe, and more, covering 16 providers in total.
It offers `list_providers`, `connect_account`, `get_financial_overview`, `query_spending`, `get_recommendations`, `detect_anomalies`, and `get_setup_status`.
Use the `connect_account` tool to integrate your provider accounts and start tracking spending. Use `get_setup_status` to verify the connection is complete.
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