Vulnerable MCP Server

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

Healthy Food MCP is a public MCP server that gives AI agents structured access to healthy recipe content. It lets Claude, Cursor, Gemini, and other MCP-compatible clients browse recipes by calorie category, diet group, meal type, macros, and keywords. The server includes tools for listing recipe categories, exploring diet and meal groups, browsing available recipe files, fetching full structured recipes, and searching the recipe collection. It is designed as a practical example of how MCP can be used beyond developer tools — turning curated food knowledge into something AI agents can query, understand, and use in real conversations. Healthy Food MCP is powered by Vectoralix and includes connection metadata, plugin manifests, reusable skills, documentation, assets, and validation scripts for easier installation and testing.

Agentic dispute resolution. File chargebacks on Visa, Mastercard, Stripe Issuing, and Lithic when AI agent purchases go wrong. Verify crypto addresses against sanctions and scam databases before sending (10 chains). Record signed purchase intent as tamper proof evidence. Real time webhook updates. 5% success fee only when you win.

One-line description: Log Indian meals with your AI using accurate data. India's official IFCT 2017 nutrition tables + USDA (8,335 foods), by text or photo. Local-first, open source. Long description: An MCP server that gives Claude (and soon ChatGPT) accurate Indian food data. Most calorie databases are US-centric and wrong for home-cooked Indian food. This wraps India's official Food Composition Tables (IFCT 2017, National Institute of Nutrition) plus USDA. Log by talking ("2 rotis and a katori of dal") or by photo; the model identifies the food, the database supplies the numbers (no LLM guessing), and your history feeds back so the AI can coach you against what you actually ate. Local SQLite, no account, no telemetry. AGPL-3.0. Tools: search_food, log_meal, get_day, get_history, edit_entry, delete_entry, fetch_image

Persistent memory API and MCP server for AI agents and workflows. Store, search, and retrieve memories with semantic search across Claude, ChatGPT, n8n, Zapier, Dify, and more. Built for developers who need reliable, long-term context for their AI applications.

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

Local-first MCP server for searching private Obsidian vaults with hybrid full-text, fuzzy, semantic, and wikilink graph retrieval.

Local-first agent memory MCP — Claude Code, Cursor, OpenAI Codex, and Gemini CLI share one SQLite brain. 6-layer structured memory (goal/context/emotion/implementation/caveat/learning), drift detection with pre-action re-injection guard, and an AST-aware diff cache saving 50-99% tokens on file re-reads. npx linksee-memory-setup — one command.

Secure file operations with configurable access controls

A read-only trust + intelligence layer between AI agents and your database — the agent never writes SQL, PII is refused before the query runs, and every call lands in a tamper-evident audit log. Postgres today.

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

A Serper MCP Server

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

Scan and fix a domain's email deliverability (SPF, DKIM, DMARC, MTA-STS, TLS-RPT, BIMI, DNS blocklists) — and remediate the DNS at the registrar.

RightBlogger MCP gives any AI agent direct access to SEO keyword research, Google Search Console performance, and your WordPress/Ghost/Webflow CMS — research keywords, read posts, and pull GSC data straight from Claude, Cursor, or any MCP client.

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

AI assistant for fitness coaches on Trainzilla. Manage clients, create workout and diet plans, schedule sessions, track habit compliance, review check-ins, and query billing — all via one-click OAuth 2.0. No token paste required.

Web and local search using Brave's Search API

Download DocSend and Papermark links as files. Converts decks to PDF or PPTX and data rooms to a ZIP of PDFs, including email-gated and passcode-protected links.

solnk is a social media management platform that lets you schedule and publish content to nine networks — Instagram, TikTok, YouTube, X, LinkedIn, Pinterest, Facebook, Threads, and Bluesky — from one place. Its MCP server lets AI agents draft and publish social posts through a single interface, with a draft-first safety model so nothing goes live without review. Includes a content calendar, team approval workflow, and analytics. Start free at solnk.com.

Check your portfolio, cash transactions, movements, payed fees, growth history and more

Channel management and messaging capabilities

MCP Server for deConz server developed by Dresden Elektronik (bridge between smart home automation platforms and wireless Zigbee networks)

Playwright MCP server

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

Remote MCP server with 10 tools: live brand AI-visibility audits (score 0-100, who AI recommends instead), AI Visibility Index dataset (25 brands, 5 industries), trucking profit & cost-per-mile calculators, DeFi yields, crypto prices, US Treasury rates, and macro risk-spread. Free catalog tool; paid tools are machine-payable per call via x402 (USDC on Base) — no API keys or subscriptions. Endpoint: https://x402-agent-store.rileycraig14.workers.dev/mcp

The orkestr MCP server gives AI agents full control of the orkestr deployment platform over the Model Context Protocol. From an MCP client an agent can create and manage projects from a GitHub, GitLab, Bitbucket, or Codeberg repo, spin up environments, trigger and roll back deployments, deploy and invoke serverless functions, provision and back up managed PostgreSQL and Redis add-ons, manage custom domains, and read live logs, build logs, metrics, and health, all on infrastructure that stays in the EU.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

Brazilian Federal Senate open data over MCP — 90 tools across the legislative process, Senate administration and the e-Cidadania portal. Cloudflare Workers, Streamable HTTP, no auth. Responses in pt-BR.