Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Local privacy-first tools: redact secrets, decode JWTs, compare LLM costs. No network calls.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"omnideck": {
"command": "npx",
"args": [
"-y",
"omnideck-mcp"
]
}
}
}Run this in your terminal
claude mcp add omnideck -- npx -y omnideck-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"omnideck": {
"command": "npx",
"args": [
"-y",
"omnideck-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"omnideck": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"omnideck-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 7, 2026
The registry name was verified with the GitHub account aapd-studio, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (1.0.4) reached the registry 31 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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.
Local, privacy-first tools for AI agents. No network calls, ever.
Some tasks are awkward to hand to an AI agent because doing them normally means pasting a secret into a website: decoding a JWT, hashing a password, scrubbing a log file before it goes to an API. This server does those locally instead.
Every tool is pure computation inside your own process. The server opens no sockets and makes no outbound requests — nothing you pass to it leaves your machine.
npm install -g omnideck-mcp
Or run it without installing:
npx omnideck-mcp
Claude Desktop — add to claude_desktop_config.json:
{
"mcpServers": { "omnideck": { "command": "npx", "args": ["-y", "omnideck-mcp"] } } }
Claude Code:
claude mcp add omnideck -- npx -y omnideck-mcp
Any MCP client that speaks stdio works the same way.
redact_sensitive_dataMasks emails, API keys, credit cards, IBANs, IP addresses and phone numbers. Run it over logs, config files or user-pasted text before that content reaches an external API or a shared transcript.
Patterns are applied most-specific-first, so a key like sk-ant-… is matched whole rather than being chopped up by the generic phone-number pattern.
Contact me at john@example.com, key [PopNx MCP ตัดค่าที่หน้าตาเหมือนกุญแจออก]
→ Contact me at [EMAIL REDACTED], key [API KEY REDACTED]
Optional categories argument restricts which classes are masked.
decode_jwtDecodes a token's header and payload and reports whether it has expired. The signature is not verified — no secret is needed, and none should be pasted anywhere. A JWT is a live credential; this exists so you never have to paste one into an online decoder.
estimate_llm_costCompares what a single request would cost across nine GPT, Claude and Gemini models, cheapest first. Pass text (tokens are counted exactly via gpt-tokenizer) or pass input_tokens directly. Useful before committing to a model for a large batch job.
List prices are current as of 2026-10 and are refreshed periodically — check your provider's pricing page before relying on them for billing decisions.
split_for_contextSplits a long document into chunks that fit a token budget, cutting on paragraph boundaries and falling back to sentence boundaries, so no chunk ends mid-thought.
check_output_fidelityFlags names, numbers and dates that appear in an AI-generated summary but not in the source it was based on — the usual shape of a fabricated detail.
This is a lexical heuristic, not a fact-checker. It catches invented specifics, not faulty reasoning, and a correctly-rephrased term can be flagged. Treat the output as a list of things to verify by hand.
hash_textMD5, SHA-1, SHA-256 or SHA-512 digest of a string, computed locally. For when the input is a password or other private value that has no business going into an online hash generator.
zod, and gpt-tokenizer.index.js and verify all of the above; it is a single readable file.Full documentation for this server, in English and Spanish: omnideck.cc/mcp
These tools also run as free browser-based utilities, alongside ~125 others, at omnideck.cc — same principle, everything client-side.
MIT © AAPD Studio