MCP Servers

Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.

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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.…

Trainzilla Mcp

# 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

SchemaBrain is an MCP server that sits between AI agents (Claude, Cursor, Windsurf) and your SQL database as a read-only trust + intelligence layer.…

OpenQR

Generate QR codes and create, edit and track dynamic (editable) QR codes with scan analytics, over a hosted MCP server (Streamable HTTP) plus a…

OzBridge

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

# 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.…

Cirdan

Cirdan maps and watches the live infrastructure your agent session can reach — Docker, Kubernetes, cloud, IaC, and telemetry — then exposes it over…

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MCP Servers FAQ

What is an MCP server?

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.

How do I install an MCP server?

Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.

What should I check before installing one?

Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.