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PopNx MCPMCP servers for people who use AI · explained in plain words

Lucius MCP

by ivanostaninversion 0.16.9i★ –iRuns on your computer
Registry nameio.github.ivanostanin/lucius-mcp

Install

Overview

Description from the maker (original English)

MCP server for managing Allure TestOps tests, launches, plans, defects, and metadata.

PopNx MCP’s three pillars

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

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: Other
  • You need to fill in: ALLURE_ENDPOINT, ALLURE_PROJECT_ID, ALLURE_API_TOKEN

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: ALLURE_ENDPOINT, ALLURE_PROJECT_ID, ALLURE_API_TOKEN

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

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

claude mcp add lucius --env ALLURE_ENDPOINT=your-value --env ALLURE_PROJECT_ID=your-value --env ALLURE_API_TOKEN=your-value -- uvx lucius-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": {
    "lucius": {
      "command": "uvx",
      "args": [
        "lucius-mcp"
      ],
      "env": {
        "ALLURE_ENDPOINT": "your-value",
        "ALLURE_PROJECT_ID": "your-value",
        "ALLURE_API_TOKEN": "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": {
    "lucius": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "lucius-mcp"
      ],
      "env": {
        "ALLURE_ENDPOINT": "your-value",
        "ALLURE_PROJECT_ID": "your-value",
        "ALLURE_API_TOKEN": "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

  • ALLURE_ENDPOINT required env
    Allure TestOps base URL, for example https://example.testops.cloud.
  • ALLURE_PROJECT_ID required env
    Default Allure TestOps project ID.
  • ALLURE_API_TOKEN secret required env
    Allure TestOps API token.

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 ivanostanin, 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 Otheri

  • More stars than 0% of the other 18610 servers in this category
  • Published to the registry more recently than 92% of the other 18610 servers in this category
  • Basic checks equal to or better than 100% of the other 18610 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 Lucius MCP 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: ALLURE_ENDPOINT, ALLURE_PROJECT_ID, ALLURE_API_TOKEN

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 (0.16.9) reached the registry 3 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv), Docker, MCPB on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Alion: company, startup and market intelligence

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

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Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

by desktop-commanderGrowing★ 211Updated 3 days ago

Runs in the cloud✓ desktopcommander.app

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.

Allure TestOps MCP Server

Lucius is a specialized Model Context Protocol (MCP) server for Allure TestOps, built with FastMCP and Starlette.

🎯 Motivation

Allure TestOps is a powerful tool with a huge API. When you're using an AI agent to manage your tests, it can easily get lost in the details or fail because of a small technical mistake.

Lucius makes this easier by giving your AI tools that are simple to use and hard to break:

  • Clear Tools: Every tool is designed for a specific task, like "finding a test case" or "updating a launch".
  • Helpful Errors: If an AI makes a mistake, Lucius doesn't just return a code—it provides an "Agent Hint" that explains exactly what went wrong and how to fix it.
  • Solid Foundation: We follow a clean "Thin Tool" structure, meaning the logic is consistent and easy for both humans and AI to follow.

🛠️ Supported Tools

See the full reference in Tool Reference.

Tool CategoryDescriptionAll Tools
Test Case MgmtFull lifecycle for test documentation.create_test_case, update_test_case, delete_test_case, delete_archived_test_cases, get_test_case_details, get_test_case_custom_fields
Automation GenerationGenerate framework-specific code from existing test cases.generate_test_code
Search & DiscoveryAdvanced search and project metadata discovery.list_test_cases, search_test_cases, get_custom_fields, list_integrations, get_project
Shared StepsCreate and manage reusable step sequences.create_shared_step, list_shared_steps, update_shared_step, delete_shared_step, delete_archived_shared_steps, link_shared_step, unlink_shared_step
Test LayersManage test taxonomy and auto-mapping schemas.list_test_layers, create_test_layer, update_test_layer, delete_test_layer, list_test_layer_schemas, create_test_layer_schema, update_test_layer_schema, delete_test_layer_schema
Test HierarchyOrganize suites and assign tests in tree paths.create_test_suite, list_test_suites, assign_test_cases_to_suite, delete_test_suite
Custom FieldsProject-level management of custom field values.list_custom_field_values, create_custom_field_value, update_custom_field_value, delete_custom_field_value, delete_unused_custom_fields
Launch ManagementManage launches, result uploads, manual execution, reruns, and attachments.create_launch, list_launches, get_launch, list_launch_test_results, upload_test_results, attach_file_to_launch, rerun_test_results_manually, start_manual_test_session, submit_manual_test_results, add_test_result_attachment
Test Result ManagementInspect one exact TestOps result and prepare verified evidence downloads.get_test_result, prepare_attachment_download
Test PlansManage test plans and their content.create_test_plan, update_test_plan, delete_test_plan, list_test_plans, manage_test_plan_content, run_test_plan
Defect MgmtTrack defects, linkage, and automation rules.create_defect, get_defect, update_defect, delete_defect, list_defects, link_defect_to_test_case, unlink_issue_from_test_case, list_defect_test_cases, create_defect_matcher, list_defect_matchers, update_defect_matcher, delete_defect_matcher

🚀 Quick Start

  1. Install uv: curl -LsSf https://astral.sh/uv/install.sh | sh
  2. Setup Credentials: Create a .env file with the variables below, or save CLI auth with lucius auth.
  3. Run Server: uv run start
Basic .env for Quick Start
VariableDescriptionExample
ALLURE_ENDPOINTAllure TestOps base URLhttps://example.testops.cloud
ALLURE_PROJECT_IDDefault Allure project ID (optional for get_project; required by project-scoped tools)123
ALLURE_API_TOKENAllure API token
MCP_MODEMCP transport mode for Lucius runtimestdio
🔌 Claude Desktop Integration

The easiest way to use Lucius in Claude Desktop is via the .mcpb bundle:

  1. Download the latest lucius-mcp.mcpb from Releases.
  2. Open with Claude Desktop.
  3. Configure your Allure credentials in the UI.
💻 Claude Code Integration

To add Lucius to Claude Code, use the following command from within your project directory:

claude mcp add --transport stdio --scope project \

--env ALLURE_ENDPOINT=https://example.testops.cloud \ --env ALLURE_PROJECT_ID=123 \ --env ALLURE_API_TOKEN= \ --env MCP_MODE=stdio \ testops-mcp -- uvx --from lucius-mcp --refresh start

Project-scoped text config example (.mcp.json):

{

"mcpServers": { "testops-mcp": { "type": "stdio", "command": "uvx", "args": [ "--from", "lucius-mcp", "--refresh", "start" ], "env": { "ALLURE_ENDPOINT": "https://example.testops.cloud", "ALLURE_PROJECT_ID": "123", "ALLURE_API_TOKEN": " ", "MCP_MODE": "stdio" } } } }

🧠 Codex Integration

To add Lucius to Codex (CLI or IDE extension), use:

codex mcp add testops-mcp \

--env ALLURE_ENDPOINT=https://example.testops.cloud \ --env ALLURE_PROJECT_ID=123 \ --env ALLURE_API_TOKEN= \ --env MCP_MODE=stdio \ -- uvx --from lucius-mcp --refresh start

Text config example (~/.codex/config.toml or project .codex/config.toml):

[mcp_servers.testops-mcp]

command = "uvx" args = ["--from", "lucius-mcp", "--refresh", "start"]

[mcp_servers.testops-mcp.env] ALLURE_ENDPOINT = "https://example.testops.cloud" ALLURE_PROJECT_ID = "123" ALLURE_API_TOKEN = " " MCP_MODE = "stdio"

For detailed setup, including Claude Desktop (MCPB) integration, see Setup Guide.

🐍 Supported Python versions

Lucius supports Python 3.11 through 3.14 for runtime use. The generated MCPB manifests and the representative Nuitka CLI compiler matrix validate the same range. Python 3.15 support is experimental: installation may require source builds, and platform compatibility is still being verified. See the development guide for current limitations. Python 3.10 remains unsupported because the locked filelock security update requires Python 3.11 or newer.

💻 Command-Line Interface (CLI)

Lucius also provides a universal CLI entry point for direct tool execution from the command line:

# List available actions for an entity

uv run lucius test_case

Execute an action

uv run lucius test_case get --args '{"test_case_id": 1234}'

Show help for a specific entity/action

uv run lucius test_case get --help

Save reusable CLI auth

uv run lucius auth --url https://example.testops.cloud --token --project 123 uv run lucius auth status uv run lucius auth clear

CLI Features:

  • 🎯 Type-safe entity/action invocation with validation
  • 🔐 Optional persistent CLI auth with native per-user config storage
  • 📊 Multiple output formats (JSON, table, csv, plain)
  • 🔍 Per-action help with parameters and examples
  • 🛡️ Clean error messages with guidance
  • 📦 Standalone binaries for Linux, macOS, and Windows

CLI auth precedence is:

  1. Explicit tool args such as api_token or project_id
  2. Environment variables
  3. Saved CLI auth config from uv run lucius auth
  4. Defaults

Saved CLI auth uses native config locations:

  • Linux/Unix: $XDG_CONFIG_HOME/lucius/auth.json or ~/.config/lucius/auth.json
  • macOS: ~/Library/Application Support/lucius/auth.json unless XDG overrides are explicitly set
  • Windows: %LOCALAPPDATA%\lucius\auth.json

For full CLI documentation and installation instructions, see CLI Guide.

📡 Telemetry

Lucius collects privacy-preserving usage telemetry to improve tool quality. Telemetry is enabled by default and sends metadata to https://stats.ostanin.me, an endpoint operated by the project owner (no third party has access to this endpoint).

If this is acceptable in your environment, staying opted in helps improve Lucius over time. If you want to opt out, set TELEMETRY_ENABLED=false in your environment.

No API tokens, test content, or tool arguments are sent.

See Telemetry & Privacy for the full data dictionary and telemetry behavior details.

📂 Documentation

Full documentation is available in the docs/ folder:

  • Architecture & Design
  • Tool Reference
  • Configuration & Setup
  • Telemetry & Privacy
  • Attachment download capability links
  • Development Guide
  • AI Agent Protocol

🤝 Contributing

Contributions are welcome! Please see the Contribution Guidelines and the Development Guide for more details.

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