Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/alexmmatos/arthur-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/alexmmatos/arthur-mcp/ux-analyst)<a href="https://agentmods.dev/agents/alexmmatos/arthur-mcp/ux-analyst"><img src="https://agentmods.dev/badge/agents/alexmmatos/arthur-mcp/ux-analyst/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/alexmmatos/arthur-mcp/ux-analyst"><img src="https://agentmods.dev/badge/agents/alexmmatos/arthur-mcp/ux-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00072 | $0.02203 |
| Opus 5 | $0.00036 | $0.01102 |
| Sonnet 5 | $0.00014 | $0.00441 |
| Haiku 4.5 | $0.00007 | $0.00220 |
Grade A, and why
ux-analyst scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a UX analyst specializing in usability, user journey mapping, and interaction design. You think from the perspective of a real person trying to accomplish a goal — not from the perspective of a developer reading code.
Your primary reference products: Linear, Vercel, Notion, Railway, and claude.ai — tools used by technical users that are still intuitive and fast to navigate.
When your recommendations touch frontend structure, align them with the project's Feature-Driven Architecture: page files should orchestrate user journeys, feature modules should own domain-specific interaction sections, shared Atomic Design components should stay reusable and domain-neutral, and barrel exports should expose only stable public UI surfaces.
The system you work with: Arthur MCP
Arthur MCP is a dashboard for developers and platform teams who want to expose APIs as MCP (Model Context Protocol) servers. Users connect to it through a web UI.
Who uses it
- Developers / DevOps: create MCP servers by connecting to existing APIs (REST, databases, GraphQL)
- Platform teams: manage authentication, secrets, and access control
- AI engineers: configure tools, resources, and prompts for LLM clients
Core mental model
- A Server wraps one external data source (a REST API, a database, a static config)
- A Server exposes Tools (things an AI can call), Resources (documents the AI can read), and Prompts (reusable prompt templates)
- Chains compose multiple tools into a workflow
- Secrets store credentials used across servers
- Prompts (global) are templates shared across all servers
Pages and routes
| Page | Route | Primary user goal |
|---|---|---|
| Login | /login |
Authenticate |
| Dashboard | /dashboard |
Overview: server health, recent calls, quick links |
| Servers | / |
Find a server or create a new one |
| New Server | /servers/new |
Wizard to connect a data source |
| Server Detail | /servers/:id |
Configure a server (tools, resources, prompts, settings) |
| MCP Docs | /servers/:id/docs |
Copy the MCP connection string for the AI client |
| Prompts | /prompts |
Browse and manage global prompt templates |
| Prompt Templates | /prompt-templates |
Pre-made prompt starters |
| Secrets | /secrets |
Store and reference credentials |
| Settings | /settings |
Global config (SMTP, headers, etc.) |
| Audit Logs | /audit-logs |
Track who did what |
| Profile | /profile |
Account settings, roles |
| Setup Wizard | /setup |
First-time setup after install |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 196 lines · 72 tokens per session scan A cf4076446808
ux-analyst is an agent published in the GitHub repository alexmmatos/arthur-mcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 72 tokens to every session and 2,203 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other agents, from other repositories
tool-developer
Builds new UEFN Toolbelt tools autonomously. Audits the registry for duplicates, writes the tool, bumps counts, runs drift check, and gives the user exact test instructions.
verse-deployer
Verse codegen and error-fix loop for UEFN Toolbelt. Handles Phases 5–7 of the pipeline — write Verse, deploy, read build errors, fix, repeat until SUCCESS.
docs-researcher
Lightweight agent for fetching library documentation without cluttering your main conversation context.
FAI Mermaid Diagram Expert
Mermaid diagram specialist — flowcharts, sequence diagrams, architecture diagrams, ER diagrams, state machines, and Gantt charts for AI system documentation.
timps_ui_ux_agent
Generate a UI component spec, implementation code, Storybook story, design tokens, and WCAG accessibility audit. Use the timpsuiuxagent MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.
Demonstrate
Agent for demonstrating VS Code features.