An MCP server proxy that enforces per-client token quotas, rate limits, and hard per-task spend ceilings that kill runaway agent loops before they exhaust an API budget
When MCP servers wrap paid APIs like GitHub, Slack, or Jira, a single misconfigured agent can exhaust an entire month's quota in minutes because the MCP protocol has no native mechanism for per-client throttling or budget enforcement. Teams today hard-code throttle logic inside each server individually, and per-task spend ceilings do not exist at all in any shipping tool: LLM proxies like LiteLLM cap at the account or user level, not at the individual agent task or session. This product is a drop-in proxy layer that sits between MCP clients and any MCP server, enforcing per-client token quotas, sliding-window rate limits, and hard per-task spend ceilings that terminate an agent mid-run when a configured budget is hit and optionally checkpoint state so the task can resume.
Demand Breakdown
Social Proof 4 sources
Gap Assessment
4 tools exist (Portkey AI Gateway, LiteLLM Proxy, Azure API Management (MCP support), Alephant AI Gateway) but gaps remain: Controls LLM calls only, not downstream MCP tool calls against third-party APIs like GitHub or Jira; no per-task hard kill that terminates mid-run when a ceiling hits; no MCP protocol awareness; Budgets are account/user/team level against LLM APIs, not per-agent-task or per-session; no hard mid-run kill with checkpoint; no MCP tool call layer awareness at all.
Features8 agent-ready prompts
Competitive LandscapeFREE
| Product | Does | Missing |
|---|---|---|
| Portkey AI Gateway | LLM call rate limiting, spend tracking, and observability at the LLM API layer; acquired by Palo Alto Networks June 2026 signaling enterprise validation; $18M raised prior to acquisition | Controls LLM calls only, not downstream MCP tool calls against third-party APIs like GitHub or Jira; no per-task hard kill that terminates mid-run when a ceiling hits; no MCP protocol awareness |
| LiteLLM Proxy | LLM proxy with per-user and per-team spend budgets, rate limiting, and cost tracking across 100+ LLM providers; 25k+ GitHub stars; YC W23 | Budgets are account/user/team level against LLM APIs, not per-agent-task or per-session; no hard mid-run kill with checkpoint; no MCP tool call layer awareness at all |
| Azure API Management (MCP support) | Enterprise API gateway with MCP server support; rate limiting and quota enforcement per subscription on MCP tool calls available from late 2025 | Requires full Azure APIM stack deployment; no per-task spend ceiling with checkpoint-and-resume semantics; no lightweight self-hosted option for teams not on Azure; pricing locked to Azure consumption |
| Alephant AI Gateway | Open-source Rust gateway for real-time LLM API budget guardrails including per-session monthly spend ceilings with hard reject on crossing threshold | LLM API layer only, not MCP protocol aware; kill is a full reject not a checkpoint-resume; no per-client quota isolation for shared MCP server deployments; early-stage with limited enterprise adoption |
Leads65BUILDER
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