Obscurify.ai

io.github.Obscurify-aiPublished by GitHub account Obscurify-aiv0.1.0Updated Oct 29, 2026

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

VerifiedSTDIODesktop onlyMedia & DesignAI & ML

Overview

AI-generated overview

Lets an assistant query 200+ third-party AI models through Obscurify.ai for one-shot prompts, multi-turn chat, parallel second opinions and image generation.

What you can do
  • Send a single prompt to any supported model, with system prompt, reasoning effort, token and temperature options, and get the reply with model, tokens and cost
  • Continue a multi-turn conversation by passing the full message history
  • Ask the same prompt to 2-5 models in parallel and compare answers side by side
  • List models with context window, per-million-token prices, tool support and required plan, filterable by name, plan, price or tools
  • Generate images with Stable Diffusion models, or list image models and prices
  • Check account balance, plan, usage for the billing period and access to frontier or uncensored models
When to use it
Useful when you want a second or third model's view on a claim, code review or plan, when you want to compare model answers or prices before committing, or when you want image generation and spend tracking from inside an MCP client.
Requirements
Runs locally via npx with Node.js 20 or newer (or Docker, or a self-hosted HTTP mode). Requires an Obscurify.ai account and an API key in OBSCURIFY_API_KEY; without it only model listing and image model listing work. Optional variables set the default model, second-opinion models, base URL and timeout. Network access to obscurify.ai.
Before you install
Calls spend money from a prepaid balance at each model's listed price, and the paid tools are marked not read-only, so clients may prompt before each call. The API key is a secret passed by environment variable or, in HTTP mode, an Authorization bearer header. Prompts are sent to Obscurify.ai and on to model providers, which still see the prompt text, so avoid sending secrets.

Installation

In SourceWeft

  1. Open Obscurify.ai in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

Obscurify.ai MCP server

[npm] [MCP Registry] [License: MIT]

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

ToolWhat it does
askOne prompt to any model, with an optional system prompt, reasoning_effort, max_tokens and temperature. Returns the reply plus model, tokens and cost.
chatMulti-turn: pass the whole messages history and get the next reply.
second_opinionThe 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_modelsModel 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_imageText-to-image with Stable Diffusion models (SDXL, SD 1.5, LCM). Returns the image. list: true shows the models and prices.
balanceBalance, 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

  1. Create an account at obscurify.ai. You get a random account number: no email, no password.
  2. 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).
  3. 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

sh
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:

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):

json
{  "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:

json
{  "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

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

or in ~/.codex/config.toml:

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

sh
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):

json
{  "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

sh
docker build -t obscurify-mcp https://github.com/Obscurify-ai/obscurify-mcp.gitdocker run -i --rm -e OBSCURIFY_API_KEY=sk-obs1_... obscurify-mcp

Streamable HTTP

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

sh
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

VariableDefault
OBSCURIFY_API_KEY(none)Your sk-obs1_... key. Without it only list_models and generate_image list work.
OBSCURIFY_DEFAULT_MODELdeepseek/deepseek-v4-flashModel for ask and chat when none is given.
OBSCURIFY_SECOND_OPINION_MODELSdeepseek/deepseek-v4-flash,meta-llama/llama-3.3-70b-instruct,qwen/qwen3.8-27bComma-separated models for second_opinion.
OBSCURIFY_BASE_URLhttps://obscurify.ai/v1API base URL.
OBSCURIFY_TIMEOUT_MS180000Per-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

sh
npm installnpm run buildOBSCURIFY_API_KEY=sk-obs1_... node scripts/e2e.mjs stdio --image   # live end-to-end test, costs well under a centOBSCURIFY_API_KEY=sk-obs1_... node scripts/e2e.mjs httpnpx @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.

Links

License

MIT

Source: README.md at commit 6e4b9e8

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.1.0LatestOct 29, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts