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

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

Location services, directions, and place details

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

Generate realistic, FK-consistent test data for your databases from your AI assistant. List projects, get schema DDL, generate datasets as SQL.

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.

TitanStore provides AI agents with programmatic access to compute credits, API keys, cloud storage, and GPU capacity. Search products, manage cart, and complete purchases in a single agentic workflow. No authentication required.

Your AI can ship landing pages now. Convika is a landing page ops platform built for MCP clients. Connect from Claude, Claude Code, Codex, or any MCP-compatible AI client and manage the full landing page lifecycle in natural language: - Create a LP and preview it before going live - Publish to a global edge network (pages stay up independently of the dashboard) - Collect leads with forms and export submissions - Read basic analytics: traffic, sources, devices, conversions, and goals - Connect custom domains - Iterate safely with version history and one-step rollback Quick start: 1. Sign up free at https://app.convika.com/signup 2. Claude Desktop: Settings → Connectors → Add custom connector → https://mcp.convika.com Claude Code: claude mcp add --transport http convika https://mcp.convika.com 3. Ask your AI: "Create a landing page for my product and show me the preview." Auth: OAuth 2.1 — sign in with your Convika account when the client prompts you.

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).

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

**Dependency Freshness Checker** tells any AI coding agent whether an npm or PyPI package is **outdated (out of date)** — and gives the cited facts to prove it: the latest version, release dates, deprecation status, how many versions behind you are, and a dated **"what changed since your version"** breaking-change diff. It is MCP-native, reads only public registries and GitHub releases (no scraping, no ToS risk), and is priced Pay-Per-Event for pay-as-you-go agent use.

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.

Kubova packs cargo into shipping containers and onto pallets and returns a verifiable 3D loading plan — exact coordinates, fit, utilization, weight balance. Over MCP, an assistant can request a plan and act on the structured result. Free tier; public REST API too.

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

Verified European private equity ownership data: who owns a company, PE firm portfolios, exits by year. 21,000+ companies, 900+ GPs, hand-checked, source link on every response. No auth.

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

Pay-per-call MCP server for AI agents. Check whether ChatGPT, Perplexity, or Google AI recommends any brand — score 0-100, mention rate, and the competitors AI names instead. Also serves the 25-brand AI Visibility Index dataset, US Treasury macro data, DeFi yields, crypto prices, and trucking load-profit calculators. Paid tools settle per call in USDC on Base via x402 — no API keys, no signup. Install in Claude Desktop or Cursor. Premium brand check $0.95. Free human checker: https://aivisibility.agentexchange.work · Leaderboard: https://index.agentexchange.work

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.

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

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

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.

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.

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

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

Chess.com player, game, and daily-puzzle tools where each tool ships its own interactive React view — board replays and a playable puzzle widget, not just text. Built with Skybridge for ChatGPT & Claude.

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