Ssh Mcp Pro
TypeScript MCP server for controlled SSH operations, remote host workflows, command execution guardrails, and infrastructure automation. 46 tools, with
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 106 of 226
TypeScript MCP server for controlled SSH operations, remote host workflows, command execution guardrails, and infrastructure automation. 46 tools, with
TypeScript MCP server for infrastructure visibility, health checks, inventory inspection, and operations-focused automation across developer… 6 tools, with
Will this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Remote server: https://fitllm.run/api/mcp.
Aso Audit MCP Server: what it does, available tools and how to connect it to your AI client. 4 tools, with
Alice Flights — MCP server for flight search in Claude and any MCP client. Remote, OAuth, hosted at mcp.alice.co.il.
MCP server for Shieldz — AI agents create non-custodial crypto invoices. 3 tools, with
MCP server for Stelar Digital crypto signal + AI utility APIs (RapidAPI-backed). 6 tools, with
Studious Couscous MCP Server: what it does, available tools and how to connect it to your AI client.
MCP server exposing every Mealie API endpoint (259 tools) via FastMCP.
A Model Context Protocol (MCP) server for deep Git history statistics, repository health tracking, and Object-Oriented Design (OOD) metrics analysis.
TokenLab MCP integration for model discovery, pricing, typed LLM requests, multimodal generation, async tasks, files and developer API workflows. 87 tools, with
MCP server + manifest for the PowerPoint Engine API — generate & edit .pptx from AI agents (hosted, OAuth 2.1). 3 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.