Obscurify.ai

Name: Obscurify.ai
Author: Obscurify-ai

by Obscurify-aiversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.Obscurify-ai/obscurify-mcp

Install

Overview

Description from the maker (original English)

Ask 200+ AI models privately from your agent: one-shot, chat, second opinions, prices, images.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 79/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: OBSCURIFY_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: OBSCURIFY_API_KEY, OBSCURIFY_DEFAULT_MODEL, OBSCURIFY_SECOND_OPINION_MODELS

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "obscurify": {
      "command": "npx",
      "args": [
        "-y",
        "@obscurify/mcp"
      ],
      "env": {
        "OBSCURIFY_API_KEY": "your-value",
        "OBSCURIFY_DEFAULT_MODEL": "your-value",
        "OBSCURIFY_SECOND_OPINION_MODELS": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add obscurify --env OBSCURIFY_API_KEY=your-value --env OBSCURIFY_DEFAULT_MODEL=your-value --env OBSCURIFY_SECOND_OPINION_MODELS=your-value -- npx -y @obscurify/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "obscurify": {
      "command": "npx",
      "args": [
        "-y",
        "@obscurify/mcp"
      ],
      "env": {
        "OBSCURIFY_API_KEY": "your-value",
        "OBSCURIFY_DEFAULT_MODEL": "your-value",
        "OBSCURIFY_SECOND_OPINION_MODELS": "your-value"
      }
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "obscurify": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@obscurify/mcp"
      ],
      "env": {
        "OBSCURIFY_API_KEY": "your-value",
        "OBSCURIFY_DEFAULT_MODEL": "your-value",
        "OBSCURIFY_SECOND_OPINION_MODELS": "your-value"
      }
    }
  }
}

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.

Values you fill in

OBSCURIFY_API_KEY secret required env
Obscurify.ai API key (sk-obs1_...) from obscurify.ai/account
OBSCURIFY_DEFAULT_MODEL env
Default model for ask and chat (default deepseek/deepseek-v4-flash)
OBSCURIFY_SECOND_OPINION_MODELS env
Comma-separated default models for second_opinion

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

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 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Obscurify-ai, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– 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

Compared with others in Search & AI memoryi

More stars than 0% of the other 5717 servers in this category
Published to the registry more recently than 78% of the other 5717 servers in this category
Basic checks equal to or better than 100% of the other 5717 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 Obscurify.ai safe?

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.

What keys or codes does it need?

You need to fill in: OBSCURIFY_API_KEY

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 –, and the latest version (0.1.0) reached the registry 11 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 972.7K/wk★ 64.2KUpdated 2 days ago

Computer or cloud

Install

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 18K/wk★ 48.1KUpdated 22 days ago

Runs on your computer

Install

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

by exa-labsWidely used★ 5.2KUpdated 2 months ago

Runs in the cloud✓ exa.ai

Install

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.

Obscurify.ai MCP server

Give your AI agent private access to 200+ other models. This Model Context Protocol server lets Claude Desktop, Claude Code, Cursor, VS Code, Codex, opencode and any other MCP client ask Claude, GPT, Gemini, Llama, DeepSeek, Qwen and more through Obscurify.ai.

Obscurify.ai is a privacy-focused, OpenAI-compatible AI platform. Text requests only use zero-data-retention routes, prompts and responses aren't stored on its servers, and accounts are a random 16-digit account number with no email, phone or password.

Tools

Tool	What it does
`ask`	One prompt to any model, with an optional system prompt, `reasoning_effort`, `max_tokens` and `temperature`. Returns the reply plus model, tokens and cost.
`chat`	Multi-turn: pass the whole `messages` history and get the next reply.
`second_opinion`	The same prompt to 2-5 models in parallel, every answer side by side. Good for checking a claim, reviewing code or a plan, or breaking a tie.
`list_models`	Model IDs with context window, price per million input/output tokens, tool support and the plan each needs. Filter by name, plan, price or tool support. Works without a key.
`generate_image`	Text-to-image with Stable Diffusion models (SDXL, SD 1.5, LCM). Returns the image. `list: true` shows the models and prices.
`balance`	Balance, plan, usage this billing period, and whether the account can use frontier and uncensored models.

Defaults are cheap and fast: ask and chat use deepseek/deepseek-v4-flash, and second_opinion asks deepseek/deepseek-v4-flash, meta-llama/llama-3.3-70b-instruct and qwen/qwen3.8-27b. Pass model / models to use anything else, e.g. anthropic/claude-sonnet-5.5 or openai/gpt-5.5.

Get an API key

Create an account at obscurify.ai. You get a random account number: no email, no password.
Add a balance (card, Monero, Bitcoin or Lightning). The API works on every plan with a positive balance. Frontier models need the Casual plan or higher, and uncensored models need Pro (pricing).
On obscurify.ai/account, click Show API Key and copy the sk-obs1_... key.

Calls cost money from your balance at each model's listed price (model cards). Every reply shows what it cost.

Setup

The server runs with npx -y @obscurify/mcp (Node.js 20 or newer) and reads the key from OBSCURIFY_API_KEY.

Claude Code

claude mcp add obscurify -e OBSCURIFY_API_KEY=sk-obs1_... -- npx -y @obscurify/mcp

Add -s user to make it available in every project.

Claude Desktop

Settings → Developer → Edit Config, then add to claude_desktop_config.json:

"mcpServers": { "obscurify": { "command": "npx", "args": ["-y", "@obscurify/mcp"], "env": { "OBSCURIFY_API_KEY": "sk-obs1_..." } } } }

Restart Claude Desktop.

Cursor

Add the same mcpServers block to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project):

"mcpServers": { "obscurify": { "command": "npx", "args": ["-y", "@obscurify/mcp"], "env": { "OBSCURIFY_API_KEY": "sk-obs1_..." } } } }

VS Code (GitHub Copilot agent mode)

Create .vscode/mcp.json. VS Code asks for the key once and stores it securely:

"inputs": [ { "type": "promptString", "id": "obscurify-key", "description": "Obscurify.ai API key", "password": true } ], "servers": { "obscurify": { "type": "stdio", "command": "npx", "args": ["-y", "@obscurify/mcp"], "env": { "OBSCURIFY_API_KEY": "${input:obscurify-key}" } } } }

Codex CLI

codex mcp add obscurify --env OBSCURIFY_API_KEY=sk-obs1_... -- npx -y @obscurify/mcp

or in ~/.codex/config.toml:

[mcp_servers.obscurify]

command = "npx" args = ["-y", "@obscurify/mcp"] env = { OBSCURIFY_API_KEY = "sk-obs1_..." }

Optional: don't ask before each paid call (ask, chat, second_opinion, generate_image)

default_tools_approval_mode = "approve"

The tools that spend from your balance are marked as not read-only, so Codex asks before running them unless you set default_tools_approval_mode.

opencode

opencode mcp add obscurify --env OBSCURIFY_API_KEY=sk-obs1_... -- npx -y @obscurify/mcp

That writes this to opencode.json (add --global for your global config):

"mcp": { "servers": { "obscurify": { "type": "local", "command": ["npx", "-y", "@obscurify/mcp"], "environment": { "OBSCURIFY_API_KEY": "sk-obs1_..." } } } } }

Windsurf, Cline, Zed and other clients

Use the command npx -y @obscurify/mcp with the environment variable OBSCURIFY_API_KEY in the client's MCP settings.

Docker

docker build -t obscurify-mcp https://github.com/Obscurify-ai/obscurify-mcp.git

docker run -i --rm -e OBSCURIFY_API_KEY=sk-obs1_... obscurify-mcp

Streamable HTTP

For clients that connect over HTTP, run the server yourself:

OBSCURIFY_API_KEY=sk-obs1_... npx -y @obscurify/mcp --http --port 3000

MCP endpoint: http://127.0.0.1:3000/mcp health: /health

It binds to 127.0.0.1 unless you pass --host. Each request may carry its own key as Authorization: Bearer sk-obs1_..., which takes precedence over OBSCURIFY_API_KEY, so one server can serve several accounts. The HTTP mode is stateless.

Configuration

Variable	Default
`OBSCURIFY_API_KEY`	(none)	Your `sk-obs1_...` key. Without it only `list_models` and `generate_image list` work.
`OBSCURIFY_DEFAULT_MODEL`	`deepseek/deepseek-v4-flash`	Model for `ask` and `chat` when none is given.
`OBSCURIFY_SECOND_OPINION_MODELS`	`deepseek/deepseek-v4-flash,meta-llama/llama-3.3-70b-instruct,qwen/qwen3.8-27b`	Comma-separated models for `second_opinion`.
`OBSCURIFY_BASE_URL`	`https://obscurify.ai/v1`	API base URL.
`OBSCURIFY_TIMEOUT_MS`	`180000`	Per-request timeout. `second_opinion` caps each model at 55 s so the answers that do arrive come back.

Example prompts

"Ask Gemini and GPT what they think of this migration plan, then summarise where they disagree." (second_opinion)
"Find the cheapest model with tool calling and a 1M context." (list_models)
"Have Llama 3.3 70B rewrite this paragraph for a general audience." (ask)
"How much have I spent on Obscurify this month?" (balance)

Privacy

The server is a thin client: it sends your prompts to https://obscurify.ai with your key and nothing else. No telemetry, no logging to disk, no file access. What Obscurify.ai keeps is described in its privacy policy: prompts and responses are not stored, and identities are scrambled before requests reach model providers. Providers still see the prompt text, so don't send secrets you wouldn't send to the model itself.

Tested

On 2026-10-28 with a Pay As You Go key, every tool was called from MCP Inspector 2.12 (CLI), Claude Code 2.1, Codex CLI 0.165 (both from the local build and from npx -y @obscurify/mcp), and the SDK client in scripts/e2e.mjs over stdio and Streamable HTTP. opencode 2.1 connects and lists the tools.

Development

npm install

npm run build OBSCURIFY_API_KEY=sk-obs1_... node scripts/e2e.mjs stdio --image # live end-to-end test, costs well under a cent OBSCURIFY_API_KEY=sk-obs1_... node scripts/e2e.mjs http npx @modelcontextprotocol/inspector node dist/index.js

Releases: bump the version in package.json and server.json, then push a vX.Y.Z tag. The workflow publishes to npm with provenance and to the MCP Registry.

License

MIT

Obscurify.ai

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Obscurify.ai MCP server

Tools

Get an API key

Setup

Claude Code

Claude Desktop

Cursor

VS Code (GitHub Copilot agent mode)

Codex CLI

Optional: don't ask before each paid call (ask, chat, second_opinion, generate_image)

opencode

Windsurf, Cline, Zed and other clients

Docker

Streamable HTTP

MCP endpoint: http://127.0.0.1:3000/mcp health: /health

Configuration

Example prompts

Privacy

Tested

Development

Links

License