Boostermage Mtg Prices

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

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

Open-source MCP server that audits programmatic SEO sites for SpamBrain risk — doorway clusters, near-duplicates, thin content — grouped by template. Clusters URLs into templates, samples pages from each, and returns a per-template verdict with risk score and fix manifest. Fix one template, fix thousands of pages. MIT.

Register, attest, and verify work for any autonomous agent. Persistent cryptographic identity, tamper-evident on-chain work records, trust scores. 3 MCP tools. Settled on Solana.

Channel management and messaging capabilities

Your personal listen-later podcast

Browser automation and web scraping

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

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。

MCP server for interacting with Neon Management API and databases

The first MCP server for NetLogo, the most widely used agent-based modeling platform. Lets AI assistants create models with real interface widgets, run simulations and BehaviorSpace parameter sweeps, export world views as PNG, and safely run peer-reviewed models from the CoMSES Net library.

Mercury is a pay-per-call MCP server that lets AI agents discover and call financial data tools using the x402 HTTP payment protocol. 18 tools covering crypto prices, DeFi liquidity, NFT data, on-chain analytics, and more. tools/list is free — tools/call is billed per call using your Mercury API key. Connect by URL: https://network.mercury-hq.com/mcp

Playwright MCP server

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

Connect AI assistants to the Zaslat.cz shipping platform via the Model Context Protocol. Create shipments, fetch rates, track parcels, and search pickup points — all through natural language. https://mcp.zaslat.cz/docs/

Web content fetching and conversion for efficient LLM usage

summarize chat message

clockify-mcp exposes the Clockify time-tracking API as Model Context Protocol tools so any MCP client (Claude Desktop, Cursor, etc.) can query and manage time-tracking data in natural language. Covers 18 domains: workspaces, users, groups, clients, projects, tasks, tags, time entries, reports (detailed/summary/weekly/attendance/expense + PDF/CSV/XLSX export), shared reports, time off, holidays, expenses, approvals, custom fields, scheduling, invoices, and webhooks. 48 read tools are always available; 64 write tools are opt-in via CLOCKIFY_ACCESS_MODE (read | time-tracking | full). Auth is a single Clockify API key (X-Api-Key). Optional OpenTelemetry OTLP export for traces/metrics/logs.

Web and local search using Brave's Search API

Read-only database access with schema inspection

Plexa is the agentic discovery layer for local businesses in Mexico and Latin America. AI agents can search, query, and connect with 250+ real businesses across dental, tourism, hospitality, and restaurant verticals — with structured data, trust scores, actionable capabilities, and WhatsApp deep links. 6 MCP tools: search_businesses, get_business, get_business_hours, get_business_services, contact_business, list_verticals. MCP Server URL: https://api.joinplexa.com/mcp/sse Website: https://joinplexa.com Docs: https://joinplexa.com/docs API: https://api.joinplexa.com Category: Business / Local Services / Data / Directory Author: Incremática License: Proprietary (API is free tier available)

Checks if a Japanese construction or renovation estimate is fair and flags overcharge risk. Attach your estimate and get a red-flag audit.

A Model Context Protocol server that gives AI Clients real-time cybersecurity reconnaissance capabilities — WHOIS, DNS enumeration, port scanning, SSL inspection, CVE lookup, IP reputation, ASN lookup and more.

Auditable, self-improving knowledge & memory for AI agents, served over MCP. Citation-enforced answers (no source, no claim), a replayable why-trace per answer, and a judge-gated loop that promotes validated knowledge. Zero-key local embeddings (bge-m3), hybrid vector + BM25 retrieval, scoped fail-closed bearer auth, and multi-tenant row-level security — self-hosted on Postgres alone. Apache-2.0. Reference implementation of the Agentic Product Standard.