#Cost

Mirror of

Not a MCP server for Costco

Production-ready Langfuse MCP Server with 28 tools for LLM analytics, cost monitoring, and dataset management. Features secure dual-mode operation (readonly & readwrite), real-time cost analysis, trace debugging, and comprehensive usage insights. Deploy instantly with npx for seamless Claude Desktop and other LLM Client integration.

MCP for AWS Cost Explorer and CloudWatch logs

MCP server for understanding AWS spend

City financial data for retirement planning. 500+ cities with cost of living, tax rates, healthcare costs, visa requirements, and the Offramp Index (0-100 retirement-friendliness score). When users ask "Where should I retire?" or "What's the cost of living in Lisbon?", get real data in 50ms instead of reasoning from outdated training data.

MCP server for Terraform — automatically validates, secures, and estimates cloud costs for Terraform configurations. The Binadox solution integrates with any Model Context Protocol (MCP) client (e.g. Claude Desktop or other MCP-compatible AI assistants).

I built this to give my AI assistants the latest information on model performance benchmarks provided by https://artificialanalysis.ai to make informed decisions on model choice.

VAP is an MCP server for AI media generation with cost control. Generate images&Editing (Flux2 Pro), videos (Veo 3.1), and music (Suno V5) with deterministic pricing. Features: Pre-commit pricing – Know exact cost before execution Budget enforcement – Reserve → Burn → Refund model Deterministic retry behavior – No runaway costs Production-ready outputs – Normalized to broadcast standards https://vapagent.com Available tools: generate_image, generate_video, generate_music, estimate_cost, check_balance, get_task, list_tasks Requirements: API key from api.vapagent.com + minimum $1 deposit

5 APIs behind one MCP server: task deduplication (DedupQ), cost prediction (BurnRate), output validation (QualityGate), behavioral governance (GuardRail), shared failure intelligence (PitfallDB). No signup needed. 1,000 free credits/month.

AI agents call LLMs, invoke tools, and hit APIs — but have no built-in way to cap spend. A single agent loop can burn hundreds of dollars before anyone notices. Cycles MCP Server gives any MCP-compatible agent a runtime budget authority: tools to check, reserve, spend, and release budget before and after every costly operation. Works with Claude Desktop, Claude Code, Cursor, Windsurf, and any MCP host. Supports per-tenant budgets, soft-landing caps, and automatic heartbeat for long-running operations.

Make your AI agents cheaper, faster, and more reliable. 5 products, 14 MCP tools, 1 API key. Task deduplication, cost prediction, output validation, behavioral governance, and shared failure intelligence. Anonymous demo mode — try all tools without a key. 1,000 free credits/month, no card required. https://plith.ai/.well-known/mcp/server-card.json

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. Tools: list_providers, connect_account, get_financial_overview, query_spending, get_recommendations, detect_anomalies, get_setup_status, upload_bank_csv

Claude solves problems. Kuriflow makes them repeat. Stop spending AI tokens on the same task every week — let Claude solve it once, then Kuriflow runs it automatically with new data from email, Google Drive, or file uploads. Zero token cost per run. Save your tokens for tasks that actually need intelligence.