An MCP server that enforces hard per-task spending ceilings on AI agent runs before cost overruns occur
AI agents running on API models have no native spending ceiling per task or per run. A multi-agent pipeline that enters a retry loop or misconfigured recursion can silently burn thousands of dollars over a weekend with nothing stopping it until the credit card statement arrives. This MCP server sits in the agent execution path, tracks real-time token and cost accumulation per agent scope, and terminates or pauses the run the moment it hits a defined ceiling. It is enforcement, not monitoring.
Demand Breakdown
Social Proof 1 sources
Gap Assessment
4 tools exist (LangSmith, Anthropic Max / Claude usage caps, Cycles, Portal26) but gaps remain: Alerts fire after spend happens. No hard enforcement that terminates or pauses an agent mid-run at a user-defined ceiling. Does not work outside the LangChain ecosystem.; Does not apply to API-direct agent loops. Enterprise and developer agent workloads hit the API directly with no per-run ceiling..
Features7 agent-ready prompts
Competitive LandscapeFREE
| Product | Does | Missing |
|---|---|---|
| LangSmith | Tracks token usage and cost per LangChain run; provides observability dashboards and alerts | Alerts fire after spend happens. No hard enforcement that terminates or pauses an agent mid-run at a user-defined ceiling. Does not work outside the LangChain ecosystem. |
| Anthropic Max / Claude usage caps | Monthly subscription plan with a soft usage cap on Claude.ai chat interface | Does not apply to API-direct agent loops. Enterprise and developer agent workloads hit the API directly with no per-run ceiling. |
| Cycles | Blog-level framing of AI agent budget control concepts; some lightweight proxy tooling | Not a production MCP server; no enforcement hooks into the MCP tool-call lifecycle; no per-scope ceiling with automatic suspend/resume. |
| Portal26 | AI governance and spend visibility for enterprise deployments | Enterprise policy layer, not a developer-facing MCP enforcement primitive. No integration at the per-agent-run scope level. |
Leads92BUILDER
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