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A Model Context Protocol (MCP) server for interacting with YNAB (You Need A Budget). Provides tools for accessing budget data through MCP-enabled clients like Claude Desktop.

This is a Model Context Protocol (MCP) server for Firefly III, a free and open-source personal finance manager. Through this MCP server, users can leverage AI tools to manage their Firefly III accounts and transactions, creating AI assistants for personal finance and accounting.

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Deterministic authorization for AI agent spending — budget checks, spend authorization with Ed25519 cryptographic seals, and audit logs.

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.

x402-paid budget management for AI agents on Solana. Pre-transaction spending checks, cumulative spend tracking, and spending analytics. Agents call this before making purchases to enforce budgets and prevent overspend. Pay-per-call via x402 USDC micropayments. Part of the RelayZero agent economy network.

xpenser.cleverbrush.com is a ln open-source, self-hostable personal expense and income tracking app supporting different currencies, categories, vendors, automated invoice parsing, AI geberated reports and more.

CashBFF is a personal-finance MCP server for Claude. Connect your bank through Plaid and ask Claude about your real money in chat. CashBFF is a remote, OAuth-secured MCP server that connects your bank to Claude through Plaid, so you can ask about your real money inside the chat you already use. It exposes 17 tools (8 read, 9 write — writes off by default) covering balances, transactions, recurring expenses, scheduled forecasts, a runway calculator, and a forward-looking calendar. Data flows from Plaid only, access tokens are encrypted with AES-256-GCM at rest, and CashBFF cannot move money or see full account/routing numbers. 14-day free trial, then $12.99/month.

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day