price-watch
Price-watch is a zero-dependency MCP server that tracks dated price changes across 494 SaaS and AI tools.
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 117 of 226
Price-watch is a zero-dependency MCP server that tracks dated price changes across 494 SaaS and AI tools.
Claude Code plugin for Reasoning∴Services — structured reasoning tools.
W3C HTML/CSS Validator and Technical SEO Audit MCP Server. Part of the DigestSEO (https://digestseo.com) suite. 8 tools, with
# Spline.design MCP Server (Archived) > **This project is archived.** Spline.design does not provide a public REST API, making most of this server's functionality…
Local-first Garmin data warehouse with an analysis-grade MCP server. Sync once, analyze forever - even when the API is down.
# Railway MCP Server Let Claude and other MCP clients manage your Railway.app infrastructure. Deploy services, manage variables, and monitor deployments - all through…
Shared memory MCP server for AI coding agents (Claude Code, Cursor). Free & local by default.
# ADB Friend ADB Friend is a tiny cli tool, which helps you to manage your Android device via ADB. Its features were mostly…
Dayze is Life Context for AI agents — private getcontextpack (your life graph) plus public notable-people packs. 15 tools, with
A collection of MCP servers that connect to Japanese public data. The name alone does not describe the project, so plugrail is not related…
Self-hosted WHOIS/RDAP API and MCP server for domains, IPv4/IPv6, CIDRs and ASNs. 2 tools, with
# Strapi MCP Server A Model Context Protocol server for interacting with Strapi CMS. This server enables AI assistants to interact with your Strapi…
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.