Free MCP servers & CLIs
Open source MCP servers that give your AI real access to the platforms you publish on. Each one is also a CLI, free under the MIT license.
Pick a server below. Its page has the install for every AI app at the top, then the full guide.
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What these MCP servers and CLIs do
An MCP server gives an AI app real access to a platform, so it can post, read and search there instead of guessing. MCP (Model Context Protocol) is the open standard Claude, Codex, Cursor and other AI apps use for that.
Each server here is also a CLI: the same tools as commands, which agents like Claude Code, Codex and OpenCode run for you, and which you can type in a terminal or a script. One npm package gives you both.
They're the same tools my own AI OS uses every day, open source under the MIT license, with the code on GitHub.
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Why I open source theseWhy I build MCP servers
I run my business on my own AI operating system (AI OS), and it needs real access to the platforms I publish on. Each of these servers started as the way my AI reaches one of them.
I open source them because a server you can read is one you can trust with your account. Every one asks before it posts or deletes, can run read-only, and keeps your password or token on your own computer.
Each page has the install for every AI app at the top and the full guide under it, so you can go from reading to using it in a few minutes.
My mission is simple: help creators and founders master AI and build their own AI Operating System (AI OS) to automate their business and life.
FAQs about the MCP servers
An MCP server is a small program that gives an AI app real access to a tool or a platform, so it can act instead of guessing.
MCP stands for Model Context Protocol, the open standard Claude, Codex, Cursor and many other AI apps use to call outside tools.
A CLI (command line interface) is a program that runs from commands.
AI agents like Claude Code, Codex and OpenCode run those commands for you, and every server here is also a CLI, so the same tools work in scripts and cron jobs too.
Yes, every MCP server here is free and open source under the MIT license.
You only pay for your own AI app, and for the platform itself when it charges for its API.
These MCP servers work with any app that speaks MCP.
That includes Claude Code, Claude Desktop, Codex, Cursor, VS Code, GitHub Copilot CLI, Gemini CLI, OpenCode, OpenClaw, Antigravity and Hermes, and each server's page shows the steps for every one.
You install an MCP server by adding a single command or a block of settings to your AI app.
Each server's page has the exact steps for every app at the top, and most run through npx, so there's nothing to install first.
The MCP server and the CLI are the same program with the same tools.
Your AI app calls the MCP server for you, and the CLI's commands are run by an agent that runs commands, like Claude Code or Codex, or by you in a terminal or a script.
No, you don't need to code to use these MCP servers.
You paste a single command or a block of settings, and some servers ask you to log in once, then you ask your AI in plain language.
These MCP servers act when you ask your AI to.
Anything public or permanent, like posting, publishing or deleting, only runs once your AI passes a confirm check.
Your passwords and tokens stay on your own computer, in your AI app's settings or in a file only your user account can read.
They only ever go to the platform itself, and none of these servers has tracking of any kind.
Yes, every MCP server here that can change anything has a read-only setting.
On most it hides every write, and your AI can't call a tool it can't see, while Google Workspace refuses them instead.
I'm an AI business strategist and the host of the AI Creator Summit, watched by 100,000+ creators.
I help creators and founders master AI and build their own AI Operating System (AI OS) to automate their business and life.
I build MCP servers because my own AI OS needs real access to the platforms I publish on.
I open source them so anyone can use them, read the code and trust them with an account.
An AI OS connects your AI to your context, your data and your tools, so it can do the work for you.
These MCP servers are the tools part: they're how your AI reaches the platforms you publish on.
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