Superserve Sandbox
The Superserve MCP server lets any MCP client create and control isolated cloud sandboxes - each one a Firecracker microVM that boots in seconds.…
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2781 servers · Page 48 of 232
The Superserve MCP server lets any MCP client create and control isolated cloud sandboxes - each one a Firecracker microVM that boots in seconds.…
# Trainzilla Coach MCP Connect Claude (or any MCP-compatible AI) to your Trainzilla coaching account. Manage clients, plans, sessions, habits, and billing using plain…
SchemaBrain is an MCP server that sits between AI agents (Claude, Cursor, Windsurf) and your SQL database as a read-only trust + intelligence layer.…
# Dependency Freshness Checker — is your npm or PyPI dependency outdated? Latest version, deprecation & breaking-change MCP for AI agents **Dependency Freshness Checker**…
Sociality.io MCP server registry metadata
Generate QR codes and create, edit and track dynamic (editable) QR codes with scan analytics, over a hosted MCP server (Streamable HTTP) plus a…
An MCP server that exposes the deCONZ REST API to AI assistants, enabling natural‑language control of Zigbee lights, sensors, groups, scenes, rules…
OzBridge brings Warp Oz agents to any MCP client. Run it standalone, or embedded in the OzBridge VS Code extension, where Oz also appears…
# PDFGate MCP Server Model Context Protocol (MCP) server for the [PDFGate](https://pdfgate.com) API. Enables AI assistants to generate PDFs, manage documents and handle e-signatures.…
Fetch any webpage as clean markdown, search the web, extract links, metadata, and contacts, parse sitemaps and RSS feeds, batch-check URL statuses. 8 production…
26 free OSINT tools as MCP tools for AI agents one tool to installs and use everything
Cirdan maps and watches the live infrastructure your agent session can reach — Docker, Kubernetes, cloud, IaC, and telemetry — then exposes it over…
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.