Plex MCP Server

Bulk domain checking for AI chats: availability, aftermarket prices, archive.org history, social handle links, and buy links. Your AI brainstorms names; check_domains reports what's real for up to 50 names across 6 TLDs per call. Free to start — 20 credits. Setup: https://namebrewery.com/mcp

Swipe-to-review GitHub PRs with AI context. Paste a repo URL, get open PRs as a card stack with risk scores, AI summaries, similar past changes, and contributor history. Works as a Claude MCP plugin — review PRs directly from Claude Desktop or Cursor without a browser. 12 tools including risk scoring, semantic similarity search, caller lookup, and test coverage detection.

figma-mcp-express connects AI agents directly to Figma via a local plugin bridge. No Figma token required. No quota. No per-seat billing. Ships 70 discrete tools for reading design context, creating and mutating nodes, importing library components and variables, managing styles and tokens, running batch operations in a single round-trip, and exporting frames. Designed for agent-driven design automation workflows in Claude, Cursor, Codex, and other MCP-compatible clients.

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

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MCP server to provide Figma layout information to AI coding agents like Cursor

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

MCP server for interacting with Neon Management API and databases

Browser automation and web scraping

Collective procedural-knowledge network for AI agents — the shared route map of the agent economy. Before attempting a non-trivial task (API integration, multi-step procedure), agents query Waymark for verified routes: step sequences and known gotchas other agents documented. After finishing, they attest the outcome, building trust scores by consensus. 100+ expert routes live across Stripe, GitHub, Slack, Salesforce, Kafka, Postgres and ~50 more domains. Blind-graded benchmark: 3.6× more known failure modes avoided, +45% first-try success (waymark.network/benchmark). Remote streamable-HTTP server — no install: https://mcp.waymark.network/mcp · Live dashboard: mcp.waymark.network/dashboard

Find leads, enrich your contacts, and verify emails just by describing what you need. Versium REACH builds and sizes B2B and B2C audiences and fills in the contact and company data you're missing, all in plain language with no manual exports or API code. US data only. Estimates are free; building a list draws on your Versium account credits and always confirms with you first. Requires an active Versium REACH subscription with API access.

Callingly is an MCP server that lets AI agents actually get leads on the phone. Connect Claude, ChatGPT, or n8n and it can place a call, send an SMS, or schedule a callback — Callingly dials your sales team, plays the lead's details, and warm-transfers the conversation. 8 tools: dispatch + AI calls, SMS, scheduling, sequences, and call reporting. Remote server (streamable HTTP) with OAuth 2.0.

A Serper MCP Server

An MCP server that provides a tool for sending transactional emails via Mailtrap

AI image generation using various models

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Open source SQL-native query and provisioning engine for cloud and SaaS infrastructure. Ships as a single signed binary with MCP tools for provider discovery, schema exploration, queries, and lifecycle operations.

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

AGHIST is the search portal for agricultural, food and environmental history. It is run by the Archive of Rural History (ARH) in Bern (CH) and provides direct access to online resources (films, photographs and written sources, as well as catalogue data of archive collections, academic texts, video essays, etc.) made publicly available by the ARH and its partner institutions in Switzerland and abroad.

Live Ethereum + Layer-2 gas-fee data for AI agents — current gas, cheapest L2, ETH price, best time to transact, and per-action cost estimates. Wraps the free gasfeepredictor.com API. No key required.

Save developer tools once — repos, CLIs, API docs — then let Claude, Cursor, and any MCP client search and recommend from your own curated catalog instead of generic model knowledge. Remote MCP over Streamable HTTP (OAuth 2.0 + DCR).

高德地图官方 MCP Server

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

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

ERABI is the open, cryptographically auditable intent exchange for AI agents: register an identity in one command, discover providers ranked by reputation (never by payment), fire intents, and build verifiable reputation and earnings from dual-signed outcomes on a public hash-chained ledger. Zero-config — `npx -y erabi-mcp` joins the live public network with no accounts, no API keys. Six tools: register, discover, intent, report_outcome, my_reputation, my_earnings. Live explorer: https://erabi-explorer.vercel.app

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"