mcp-acronym-lookup

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

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

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

Five live data tools for AI agents — company hiring signals (Greenhouse/Lever/Ashby), SEC EDGAR filings, academic papers (OpenAlex), GitHub repos, and Hacker News — as flat, citation-ready JSON. Hosted on Apify; pay-per-result billing to the caller's own Apify account, empty results cost $0.

Calculate work hours, overtime, and gross pay with tested rulesets for US federal, California, Alaska, Colorado, and Nevada law. Handles overnight shifts, rounding policies, and workweek start. Local, no API key, no data leaves your machine.

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

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

Give your AI agents a wallet they can't abuse. Almega is an MCP server that puts a control layer in front of every payment: per-agent spending limits, allow-listed categories, 1-click human approval on sensitive transactions, and a full audit ledger. Two backends ship in one file — `memory` (zero-config, 30-second demo) and `stripe` (real Stripe Issuing test-mode virtual cards, no real money). 7 tools, stdio transport, Python 3.10+, MIT.

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.

Secure file operations with configurable access controls

Engagement marketplace on Base, native to the Bankr ecosystem: AI agents and communities fund quests (follows, reposts, replies, quotes, original posts); verified-X humans complete them and are paid per approved action from a non-custodial x402 escrow — in USDC, BNKR, or any Bankr-launched token.

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

Analyze your workout history, manage routines, track progress, and help you plan future training using your real fitness data from Hevy

EU legal research for AI agents: semantic + full-text search over ~48,000 EUR-Lex acts including consolidated versions, daily drift monitoring, answers with verifiable CELEX citations. German, English, French. Remote MCP server at https://conformi.eu/api/mcp — free tier, no key required for article and timeline tools.

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.

Hosted MCP server for source-provenanced US federal healthcare provider data — NPPES, CMS PECOS, Care Compare, OIG LEIE, Open Payments. Every field returns with its exact federal source, snapshot date, and SHA-256 attestation. Public data only; no PHI. Install: npx -y @fonteum/mcp

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.

An MCP execution platform that gives any AI real infrastructure to act. Through three tools it can run code and shell commands, install packages, run tasks in parallel, search the web, make HTTP calls, read write and query databases, call any LLM, commit to GitHub, take screenshots, handle files, and keep persistent memory across sessions, all with safety checks before results reach the model. AI never ships broken code, never burns your wallet, and cannot reach your internal network. Up to 96.5 percent fewer tokens than doing the work in chat. Works with Claude, ChatGPT, Gemini, and any MCP-compatible AI.

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

Describe a real-world problem in plain language and Matchbox finds products built to solve it - with reasoning, honest caveats, what each product won't cover, and a frank 'no strong match' when nothing fits. The catalog (~12,000 products) focuses on early-stage and lesser-known products that search engines and LLM training data usually miss. Never sponsored; payment never affects ranking. Tools: find_products_for_problem, search_catalog, get_product. No auth required.

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.

Live USPS, UPS & FedEx shipping rates plus USPS postage and stamp prices for any US parcel or letter. Free, no API key, no signup. Two read-only tools: - get_shipping_rates — compare carrier rates between US ZIP codes (and international), cheapest first - get_postage_price — USPS postage with Forever-stamp counts and exact stamp combinations for letters, large envelopes, and postcards Rates are discounted online-postage prices, not retail counter prices.

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

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

One API for Search, Crawling, and Sitemaps

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.