Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Computer or cloud
Being Human
What it does
Learns your writing voice from your own prompt history, then makes the model write like that.
- Connects Runs on your computer
- Account or key No key needed
- Category Search & AI memory
Install
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Paste these settings and save the file
{ "mcpServers": { "being-human": { "command": "uvx", "args": [ "being-human", "mcp" ] } } }Quit Claude and open it again
Try it
Use Being Human and tell me what you can do for me, then show me one thing✓ If Claude says it is using Being Human or shows a Being Human tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Being Human yet
Being Human runs on your computer, but ChatGPT can only connect servers that run on the web
What you can do instead
A · Use an app that can connect Being Human
- Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
- Install Python (uv) on your computer first (one time)
- Install Python (uv) on your computer first (one time)
- Install Python (uv) on your computer first (one time)
B · Others in Search & AI memory that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
- Context7✓ ChatGPT
- AIHOT✓ ChatGPT
- Sui Knowledge Base (kapa.ai)✓ ChatGPT
Works with Claude Code, with some setup first
Install Python (uv) on your computer first (one time)
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Paste this command and press Enter
claude mcp add --scope user being-human -- uvx being-human mcpType /mcp in Claude Code
You should see Being Human listed as connected
Try it
Use Being Human and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Being Human or shows a Being Human tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Python (uv) on your computer first (one time)
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the AI chat in Cursor in Agent mode
Try it
Use Being Human and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Being Human or shows a Being Human tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Python (uv) on your computer first (one time)
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the AI chat in VS Code in Agent mode
Try it
Use Being Human and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Being Human or shows a Being Human tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
For developers: Terminal commands and JSON settings
Installed on your computer
Claude Code
claude mcp add --scope user being-human -- uvx being-human mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"being-human": {
"command": "uvx",
"args": [
"being-human",
"mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"being-human": {
"command": "uvx",
"args": [
"being-human",
"mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"being-human": {
"type": "stdio",
"command": "uvx",
"args": [
"being-human",
"mcp"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
At a glance
- Downloads per weeki
- 23/wk
- Connection
- Runs on your computer
- Latest versioni
- 0.1.2
- Categoryi
- Search & AI memory
- Published to registryi
- Aug 14, 2026
- Code last changedi
- Aug 14, 2026
- Maker
- Syedomershah99
- Packages
pypi: being-human- Website
- github.com
- Registry status
- Active
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Related guides
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 12, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Syedomershah99, which owns the repo
- ✓ Pass
Still maintained
Code last changed 3 months ago
- ✓ Pass
Has a licence
Uses MIT
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Discussion
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
User reviews
No reviews yet
Compared with others in Search & AI memoryi
- More stars than 0% of the other 6005 servers in this category
- Published to the registry more recently than 28% of the other 6005 servers in this category
- Basic checks equal to or better than 100% of the other 6005 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Being Human safe?
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed 3 months ago, and the latest version (0.1.2) reached the registry 3 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: Context7, Codebase Memory, Ruflo
Others in the same category
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Runs on your computer
Ruflo
Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.
Runs on your computer
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
being-human
Your assistant writes like a press release because it doesn't know who you are. This tells it.
being-human reads the prompts you've already typed, measures how you actually write, and hands the model a description of your voice specific enough to follow. It also builds a list of words to avoid, computed by contrast against the model's own output, so it's personal to you rather than borrowed from a blog post about ChatGPT tells.
Local, stdlib Python 3, no dependencies, no network calls.
my own writing, measured by this tool. every bar is one real sentence. make your own with being-human card .
quickstart
pip install being-humanbeing-human learn --name "Your Name" # harvest your writing, measure it being-human check draft.md # AI tells being-human verify draft.md # is it statistically you? being-human export --target chatgpt # or agents, cursor, system, json being-human card # draw your voiceprint as a shareable svg
No Claude Code history? Point it at a ChatGPT export or your own files:
being-human harvest --source chatgpt --path conversations.json --out .being-human/ --contrastbeing-human harvest --source files --path ~/Documents/writing --out .being-human/
what comes out
Instructions with numbers attached, because "be concise" is not actionable and "your median message is 12 words" is:
- Write "i" lowercase. They do, 83% of the time.- Vary sentence length hard. Theirs average 9 words but deviate 8, up to 81.
- No exclamation marks. Rate is 0.28 per 1k.
- Don't hedge. Hedge rate is 1.1 per 1k -- they assert.
the contrast trick
Your transcripts contain both sides of every conversation. So every word can be scored by log-odds: how much more likely you are to use it than the model is, on the same topics, in the same threads. The top of that list is your voice. The bottom is the model's.
Mine came back actually, clean, rather, genuinely, exactly, roughly. None of those appear on any published list of AI words. They're the specific tics this model has when talking to me. Yours will differ, because the contrast is against your writing.
two checks, not one
They catch different failures, and passing one says nothing about the other:
check | is this generic AI writing? tells, rhythm, structure |
verify | is this *you*? authorship distance, Burrows's Delta against a length-matched null resampled from your own corpus |
Measured on my own corpus:
| authorship | slop | |
|---|---|---|
| my own writing | 6th pct, me | 99/100 |
| generic LinkedIn slop | 19th pct, *me?* | 0/100 |
| a README by someone else | 94th pct, not me | 97/100 |
Row two is the catch: slop has unremarkable grammar, so authorship distance passes it. Row three is clean prose with no tells that is plainly a different hand. The second case is the one nobody else tests for, and it's the one that bites.
Held-out chunks of real writing sit at the 49th to 60th percentile, with a 1-6% false-positive rate above p97. Thresholds are personal. Em dashes get flagged against *your* measured rate rather than a universal rule, which is why this doesn't punish people who genuinely use them.
mcp server
claude mcp add being-human -- being-human-mcpSeven tools, two resources, two prompts. Configs for Claude Desktop, Cursor, Codex and Zed are in mcp/README.md.
MCP tools are model-invoked and nothing forces a model to call one, which is awkward when the payload is instructional. So every tool returns the voice rules alongside its own result. There's no path through the server that hands back a score without the target attached.
There's a Claude Code plugin too, via /plugin marketplace add Syedomershah99/being-human. It adds /being-human:learn, :check, :write, :verify, :export, and a hook that grows the corpus as you type.
privacy
Everything is local. Grep for urllib, requests or socket and you'll find nothing. Secrets are redacted at harvest time before anything touches disk, and .being-human/ is gitignored. The voiceprint is safe to share. The corpus it was built from is not.
prior art
This space got crowded in 2026. inside-lago framed the thesis, slop-guard is a mature slop linter, idiolect is architecturally closest, and writer-persona had the best idea of the lot: validate the profile with a backtest instead of trusting it.
Two things here I couldn't find elsewhere. The user-vs-model contrast, which derives the avoid-list from both sides of your own transcripts rather than from a curated list. And a deterministic impostor test. writer-persona uses an LLM judge across 8 axes; this is arithmetic, so it costs nothing and returns the same answer every time.
Burrows's Delta and log-odds with a Dirichlet prior are both established methods. The claim is the application and the calibration, not the statistics.
license
MIT. The tell list is data/slop-lexicon.json. If you keep seeing something that isn't in there, send a PR.
mcp-name: io.github.Syedomershah99/being-human