Alza Mcp Community
Unofficial, community-built MCP server for Alza.cz (not made or supported by Alza): product search, filters, deals, reviews, plus token-guarded cart…
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 202 of 226
Unofficial, community-built MCP server for Alza.cz (not made or supported by Alza): product search, filters, deals, reviews, plus token-guarded cart…
A live agent-to-agent marketplace: one AI agent sells work, another buys it. Money waits with the exchange until the delivery passes a gate, and…
Ohmyho.st is an all-in-one Vercel, Supabase and Resend alternative that your coding agent operates.
Secure NotebookLM MCP Server - Query Google NotebookLM from Claude/AI agents with 17 security hardening layers.
AI SEO tools for MCP clients — audit whether AI crawlers can read a website, validate JSON-LD and robots.txt, and generate llms.txt, AI-crawler-aware… 8…
MCP server for Meta Marketing API v25.0 — 135 tools for Facebook & Instagram ad campaign management.
GNAP — Git-Native Agent Protocol. RFC Draft for git-based agent orchestration. Zero servers.
The official Model Context Protocol server for the eSIMfly Business API — the wholesale eSIM platform resellers use to sell travel data plans for…
MCP server for searching secondhand marketplaces — Facebook Marketplace, eBay, and Depop.
An MCP server that integrates the Metis FCA Handbook AI Harness into your AI workflow — compatible with Claude, OpenAI, Gemini, and most desktop/IDE…
Command Line Interface and MCP Server for the Strimzi Kafka Operator.
An MCP server for Kavel — bring Kavel's AI photo & video generators into any MCP client (Claude, Cursor, Cline, …). 4 tools, with
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.