install.md▌
by install
install.md — Step-by-step MCP server guides to install and configure coding agents and use your software fast.
Create guides as MCP servers to instruct coding agents to use your software
github stars
★ —
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Software developers creating onboarding docs
- / Tool maintainers guiding AI agents
- / Teams standardizing setup procedures
capabilities
- / Create step-by-step installation guides
- / Manage multiple project tutorials
- / Add and organize instructional tools/steps
- / Toggle guide sections on/off
- / Update existing tutorial content
- / Delete outdated guide components
what it does
Creates interactive installation and setup guides that coding agents can follow to learn how to use your software. Manages projects and step-by-step instructions through anonymous sessions.
about
install.md is an official MCP server published by install that provides AI assistants with tools and capabilities via the Model Context Protocol. install.md — Step-by-step MCP server guides to install and configure coding agents and use your software fast. This server exposes 13 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install install.md in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
install.md is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
FAQ
- What is the install.md MCP server?
- install.md is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for install.md?
- This profile displays 47 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★47 reviews- ★★★★★Li Gill· Dec 28, 2024
According to our notes, install.md benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Chinedu Johnson· Dec 24, 2024
I recommend install.md for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Li Harris· Dec 16, 2024
install.md is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Mei Kim· Dec 12, 2024
install.md reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Zara Gill· Nov 19, 2024
I recommend install.md for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Chinedu Gill· Nov 15, 2024
According to our notes, install.md benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Mei Huang· Nov 7, 2024
We evaluated install.md against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Li Martin· Nov 3, 2024
Useful MCP listing: install.md is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Li Ghosh· Oct 26, 2024
I recommend install.md for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Neel Abbas· Oct 22, 2024
Strong directory entry: install.md surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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