Obscurify.ai
NPM · @OBSCURIFY/MCP
Ask 200+ AI models privately from your agent: one-shot, chat, second opinions, prices, images.
Available components
Last scanned (3 hours ago)
Scores higher than 73% of npm servers
Category AI and Machine Learning
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 30 of 92 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to Obscurify-ai/obscurify-mcp). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 7 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability65
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1371 tokens (~228/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
- Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- All 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
- An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 4 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.
- 2 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.
- 31 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.
- 28 Oct 26 79
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed npm/@obscurify/mcp@0.1.0
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | Obscurify-ai/obscurify-mcp |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/Obscurify-ai/obscurify-mcp/.github/workflows/publish.yml@refs/tags/v0.1.0 |
| Rekor log index | 3545602337 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha512:2b51fbe51b22f5e0a0dc25f040ba114a4d207381b78149f8891d5154f1afe88a8f132d6d2f43efc58a909ba90f6e3cf169d4de71009f1d89db65dfe97 |
Background: How many MCP packages publish verified provenance →
Dependencies 92 packages
| Packages resolved | 92 |
|---|---|
| Stale | 30 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
ask Ask a model ~300
Send one prompt to any Obscurify.ai model and get its reply. Useful for delegating a subtask to a cheaper or specialised model, getting an outside view, or using a model you don't otherwise have. Prompts go through zero-data-retention routes and are not stored by Obscurify.ai. Default model: deepseek/deepseek-v4-flash (fast and cheap). Use list_models to find other model IDs. For follow-ups that need earlier turns use chat; to compare several models use second_opinion.
| Name | Type | Req | Description |
|---|---|---|---|
| max_tokens | integer | – | Cap on the reply length in tokens (default 4096). Reasoning models spend some of these thinking. |
| model | string | – | Model ID such as "anthropic/claude-sonnet-5.5" or "openai/gpt-5.5". Default: deepseek/deepseek-v4-flash. |
| prompt | string | yes | The full prompt. The model sees nothing else, so include any context it needs. |
| reasoning_effort | string | – | How hard a reasoning model should think. Ignored by models without reasoning. Omit for the model's default. |
| show_reasoning | boolean | – | Include the model's reasoning text, when it returns one (default false). |
| system | string | – | Optional system prompt. |
| temperature | number | – | Sampling temperature, 0-2. Omit for the model's default. |
No output schema declared.
No examples provided.
balance Account balance and plan ~70
Show the Obscurify.ai account's balance (USD), plan, included credit used this billing period, token usage, and whether it can use frontier and uncensored models. Use it before a large batch of calls, or when a call fails with a balance (402) or plan (403) error.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
chat Multi-turn chat ~213
Continue a multi-turn conversation with an Obscurify.ai model. Pass the whole history in `messages` (the server keeps no state) and get the next assistant reply. For a single question, ask is simpler. Default model: deepseek/deepseek-v4-flash.
| Name | Type | Req | Description |
|---|---|---|---|
| max_tokens | integer | – | Cap on the reply length in tokens (default 4096). Reasoning models spend some of these thinking. |
| messages | array | yes | Conversation so far, oldest first. The last message is usually from the user. |
| model | string | – | Model ID. Default: deepseek/deepseek-v4-flash. |
| reasoning_effort | string | – | How hard a reasoning model should think. Ignored by models without reasoning. Omit for the model's default. |
| show_reasoning | boolean | – | Include the model's reasoning text, when it returns one (default false). |
| temperature | number | – | Sampling temperature, 0-2. Omit for the model's default. |
No output schema declared.
No examples provided.
generate_image Generate an image ~219
Generate an image from a text prompt with Obscurify.ai's Stable Diffusion image models (SDXL, SD 1.5 and LCM checkpoints). Returns the image. Costs a fraction of a cent per image from the account balance. Pass `list: true` to see the available image models and prices instead.
| Name | Type | Req | Description |
|---|---|---|---|
| height | integer | – | Height in pixels (default: the model's). |
| list | boolean | – | List image models and prices instead of generating. |
| model | string | – | Image model ID (default "realvis-xl-v4", photorealistic). Others include "juggernaut-xl-v10" and "animagine-xl-v-3-1" (anime). Use list: true for all. |
| negative_prompt | string | – | Things to keep out of the image. |
| prompt | string | – | What to draw. Required unless list is true. |
| seed | integer | – | Seed for reproducible results. |
| width | integer | – | Width in pixels (default: the model's). |
No output schema declared.
No examples provided.
list_models List models ~234
List Obscurify.ai chat models with their IDs, context window, price per million input/output tokens (USD), tool-calling support and the plan they need (any = every account with a balance; casual = Casual or Pro; pro = Pro only). Filter by name, plan, price or tool support. Use it to find a model ID for ask, chat or second_opinion, or the cheapest model with what you need. Doesn't need an API key.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | Max rows (default 60). |
| max_output_price | number | – | Only models whose output price is at most this many USD per million tokens. |
| plan | string | – | Only models usable on this plan: any (Pay As You Go and up), casual, or pro (everything). |
| search | string | – | Case-insensitive text to match in the model ID or name, e.g. "claude", "deepseek", "coder". |
| sort | string | – | Sort order (default id). price = cheapest output first. |
| tools_only | boolean | – | Only models that support tool/function calling. |
No output schema declared.
No examples provided.
second_opinion Second opinion from several models ~205
Send the same prompt to 2-5 different models at once and return every answer side by side, so you can compare them, check a claim, review code or a plan, or break a tie. Default models: deepseek/deepseek-v4-flash, meta-llama/llama-3.3-70b-instruct, qwen/qwen3.8-27b.
| Name | Type | Req | Description |
|---|---|---|---|
| max_tokens | integer | – | Cap on the reply length in tokens (default 4096). Reasoning models spend some of these thinking. |
| models | array | – | Model IDs to ask (2-5). Pick different families for independent views. |
| prompt | string | yes | The full prompt, with all the context the models need. |
| reasoning_effort | string | – | How hard a reasoning model should think. Ignored by models without reasoning. Omit for the model's default. |
| system | string | – | Optional system prompt for every model. |
No output schema declared.
No examples provided.
How do I install the Obscurify.ai MCP server?
Obscurify.ai runs locally as an npm package, launched with npx -y @obscurify/mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @obscurify/mcp
claude mcp add obscurify-ai-obscurify-mcp -- npx -y @obscurify/mcp
What is the Obscurify.ai MCP server?
Obscurify.ai is an MCP server listed in the public MCP registry as io.github.Obscurify-ai/obscurify-mcp. Ask 200+ AI models privately from your agent: one-shot, chat, second opinions, prices, images. This page covers its npm package (@obscurify/mcp).
Is the Obscurify.ai MCP server safe to use?
Obscurify.ai scores 82 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Obscurify.ai MCP server expose?
Obscurify.ai exposes 6 tools: ask, chat, second_opinion, list_models, generate_image, balance. Their descriptions and schemas cost roughly 1,241 tokens of context every time the server is loaded.
Is the Obscurify.ai MCP server still maintained?
Obscurify.ai is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Obscurify.ai MCP server under?
Obscurify.ai declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.