io.github.adorbistech/adorbis-mcp
NPM · @ADORBISTECH/MCP-SERVER · SCANNED AUG 3
Adorbis AI MCP server. One key, 40+ models, auto-routed.
Available components
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 →
Supply Chain Security86
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 39 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability70
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 625 tokens (~89/item across 7 items; 7 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage93
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 78% of tool parameters carry a description.Partial
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · @adorbistech/mcp-server
claude mcp add adorbistech-adorbis-mcp -- npx -y @adorbistech/mcp-server
codex mcp add adorbistech-adorbis-mcp -- npx -y @adorbistech/mcp-server
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"adorbistech-adorbis-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"@adorbistech/mcp-server"
],
"enabled": true
}
}
} openclaw mcp add adorbistech-adorbis-mcp --command npx --arg -y --arg @adorbistech/mcp-server
mcp_servers:
adorbistech-adorbis-mcp:
command: "npx"
args: ["-y", "@adorbistech/mcp-server"] {
"mcpServers": {
"adorbistech-adorbis-mcp": {
"command": "npx",
"args": [
"-y",
"@adorbistech/mcp-server"
]
}
}
} 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.
- 2 Aug 26 +23
- Provenance: unverified → fail ▼ security
- Known CVEs: unverified → partial ▲ security
- Install scripts: unverified → pass ▲ security
- Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. security
- Capabilities: pass → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Schema quality: unverified → good ▲ functional
- Maintenance: unverified → pass ▲ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Licence: MIT functional
- 1 Aug 26 +20
- Malware scan: unverified → pass ▲ security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- MCP protocol: unverified → pass ▲ functional
- 31 Jul 26 +14
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 −39
- Malware scan: pass → unverified ▼ security
- Tool coverage: 100 → unverified ▼ functional
- First check of Schema quality: unverified functional
- 27 Jul 26 45
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 3 Aug 2026 · Analysed npm/@adorbistech/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 94 packages
94 packages in the resolved dependency tree · 94 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
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.
adorbis_balance ~36
Check your Adorbis AI credit balance, current plan, and account status. Useful for monitoring usage and knowing when to top up.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
adorbis_chat ~154
Send a message to Adorbis AI and get a response. Adorbis auto-routes to the best available model based on the selected department. Use this for general AI assistance, questions, and conversations.
| Name | Type | Req | Description |
|---|---|---|---|
| department | string | — | AI department to use: 'adorbis/quick' (fast responses), 'adorbis/coder' (code), 'adorbis/auto' (smart routing), 'adorbis/write' (writing), 'adorbis/reason' (analysis) |
| max_tokens | integer | — | Maximum tokens in the response |
| message | string | yes | The message or question to send to the AI |
| system_prompt | string | — | Optional system prompt to set context for the AI |
No output schema declared.
No examples provided.
adorbis_code ~138
Generate, review, debug, or explain code using Adorbis AI's code-optimized department. Routes to the best available coding model (DeepSeek Coder, Claude Sonnet, Gemini etc.) automatically.
| Name | Type | Req | Description |
|---|---|---|---|
| code | string | — | Existing code to review, debug, or build upon |
| language | string | — | Programming language (e.g. python, typescript, rust, go) |
| max_tokens | integer | — | Maximum tokens in the response |
| task | string | yes | The coding task — e.g. 'write a Python function to parse JSON', 'review this code for bugs', 'explain what this does' |
No output schema declared.
No examples provided.
adorbis_models ~35
List all available Adorbis AI departments and what they route to. Use this to understand which department to use for different tasks.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
adorbis_multi_turn ~74
Have a multi-turn conversation with Adorbis AI by passing the full message history. Use this when you need to maintain context across multiple exchanges.
| Name | Type | Req | Description |
|---|---|---|---|
| department | string | — | — |
| max_tokens | integer | — | — |
| messages | array | yes | Full conversation history as an array of {role, content} objects |
No output schema declared.
No examples provided.
adorbis_reason ~79
Solve complex problems requiring multi-step reasoning, math, logic, or analysis using Adorbis AI's reasoning department. Routes to frontier reasoning models automatically.
| Name | Type | Req | Description |
|---|---|---|---|
| context | string | — | Additional context or data to consider |
| max_tokens | integer | — | — |
| problem | string | yes | The problem, question, or task requiring deep reasoning or analysis |
No output schema declared.
No examples provided.
adorbis_write ~109
Generate long-form written content — documentation, articles, emails, reports, summaries — using Adorbis AI's writing-optimized department.
| Name | Type | Req | Description |
|---|---|---|---|
| content | string | — | Source material, outline, or context for the writing task |
| max_tokens | integer | — | — |
| task | string | yes | The writing task — e.g. 'write a README for my project', 'draft an email to investors', 'summarize this document' |
| tone | string | — | Tone of the written output |
No output schema declared.
No examples provided.