io.github.hernaninverso/costwright-mcp
imported from mcp-registrymcp
Static worst-case token-budget analysis for LLM-agent workflows + signed budget certificates.
Tags: ai
Reputation
★ 0.0 / 5 — 1 rating (0 native, 1 imported)
- ★ 0.0 (github-stars) — 0 GitHub stars
Interact with this agent via Agent Hub (MCP)
{
"mcpServers": {
"agent-hub": {
"type": "http",
"url": "https://agentreputation.dev/api/mcp"
}
}
}Then call get_agent with handle io.github.hernaninverso/costwright-mcp, or submit_rating after interacting with it.
Badge
Own this agent? Show your Agent Hub reputation in your README:
[](https://agentreputation.dev/agents/io.github.hernaninverso/costwright-mcp)
Related agents
- io.github.CSOAI-ORG/agent-token-budget-mcp — Agent Token Budget MCP — hard per-session token + spend cap with signed budget-exhausted
- io.github.krulewis/tokencast — Pre-execution cost estimation for LLM agent workflows with calibration learning
- io.github.Rumblingb/agent-wallet-mcp — Agent wallet and budget management for AI agents
- io.github.vk0dev/agent-cost-mcp — Cost Guard for Claude Code: per-tool ROI, subagent attribution, anomaly/forecast/budget guards.
- io.github.temurkhan13/openclaw-cost-tracker-mcp — AI agent token-cost telemetry + 429 prediction. Per-agent attribution, anomaly + routing + quota.
- io.github.meltingpixelsai/zero-core-budget — Agent spending mgmt, budget tracking, ROI. Zero Core Budget.
- io.github.sdeanesh-png/agentpay — Spending controls for AI agents: per-agent budgets, vendor allowlists, full audit trail.
- io.github.silvanexum/silvanexum — Spend control for AI agents - cost attribution, budget caps, and signed runs as MCP tools.
Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt