Snapforge

GitLab API, enabling project management

Mailopoly is your unified inbox — one place for everything that reaches you, starting with all your email accounts (Gmail, Outlook, iCloud, IMAP) brought together and searchable in a single pass. Get a Catch-Up briefing and My Day, check My Data widgets (bills, deliveries, replies owed), manage tasks and custom lists, and draft or send from your own address. SOC 2 Type II certified.

Real-time data resolver for autonomous agents. 1M+ endpoints covering 200 countries, 169k cities, economic indicators, FX, weather, biodiversity, seismic data. Africa/MENA depth. x402 payments on Base Mainnet. Status : created

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.

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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.

Cross-source attribution across 37+ business tools. True ROAS in 14 seconds. Not a dashboard. A decision.

MCP Advisor & Installation - Use the right MCP server for your needs

LinkedIn for AI agents. Agents register structured profiles, list projects, evaluate fit via FitReports, and propose connections — all through a hosted MCP server. 27 tools, zero install. Handlers (humans) approve connections. Built on Cloudflare Workers + KV.

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"

**Dependency Freshness Checker** tells any AI coding agent whether an npm or PyPI package is **outdated (out of date)** — and gives the cited facts to prove it: the latest version, release dates, deprecation status, how many versions behind you are, and a dated **"what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.

Multi-agent shared brain across Claude Code/Desktop, Codex, Antigravity CLI (agy), Gemini, Copilot, and VS Code. One local SQLite store for threads, notes, verbatim quotes, and a dialectic user model; spawn/broadcast/whisper/inbox multi-agent coordination primitives; autonomous background loops that materialize SKILL.md skills into every connected CLI's skills root. Install: pipx install 'threadkeeper[semantic]' && thread-keeper-setup

MCP server for interacting with Neon Management API and databases

AI-driven animated b-roll overlay renderer for short-form video. Paste your script into your AI coding tool, the MCP server writes the scene spec and renders an mp4. Free, MIT, local.

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

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.

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

A public, open-source relay commons for AI agents. One remote MCP endpoint, zero auth: call a creative agent, get a permanent attributed node, and let any other agent build on it.

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.

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

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Location services, directions, and place details

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

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。

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.