Spendline
Enforce AI budgets before the model call and track cost per customer across 10 providers.
- Transport
- Not stated
- Package
- —
- Registry id
- ai.spendline/spendline
No install snippet on purpose. A working MCP config is a command, its arguments and an environment block — the last two are where API keys live, so this catalogue never stores them and cannot publish them. Follow the link above for the authors' own instructions.
Spendline sits in the request path, attributing, governing, optimizing and reconciling every call before it reaches a provider. Spendline attributes every AI cost to the customer, agent, workflow, feature, team, or cost centre behind it. Spendline enforces budgets set by organisation, team, agent, or customer, with limits that can raise an alert, require approval, or stop the request.
Spendline integrates with ten model providers including OpenAI, Anthropic, Google Gemini, xAI, Mistral, DeepSeek, Qwen, Together AI, Fireworks, and Groq. Spendline pricing is value-linked, not seat-based, with a base fee plus a capped percentage of AI spend under management.
Summary drafted from the project's own website. Every sentence is backed by text on that page and was reviewed before publishing.