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MCP unreviewed Apache-2.0 Self-run

Lucius Mcp

mcp-ivanostanin-lucius-mcp · by ivanostanin

A feature-rich Model Context Protocol (MCP) server and CLI for Allure TestOps TMS.

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Install

$ agentstack add mcp-ivanostanin-lucius-mcp

Open-source listing — not yet scanned by AgentStack. Follow the source repository for install instructions.

Security review

⚠ Flagged

1 finding(s); flagged for manual review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures
  • high Pipes remote content directly into a shell (remote code execution).

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

[](https://pypi.org/project/lucius-mcp/) [](https://pypi.org/project/lucius-mcp/) [](https://pypi.org/project/lucius-mcp/) [](https://github.com/ivanostanin/lucius-mcp/blob/main/LICENSE)

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](docs/tools.md).

| Tool Category | Description | All Tools | |:-------------------------------|:----------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | Test Case Mgmt | Full 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 | | Search & Discovery | Advanced search and project metadata discovery. | list_test_cases, search_test_cases, get_custom_fields, list_integrations | | Shared Steps | Create 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 Layers | Manage 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 Hierarchy | Organize suites and assign tests in tree paths. | create_test_suite, list_test_suites, assign_test_cases_to_suite, delete_test_suite | | Custom Fields | Project-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 Management | Manage launches, manual execution, reruns, and attachments. | create_launch, list_launches, get_launch, list_launch_test_results, rerun_test_results_manually, start_manual_test_session, submit_manual_test_results, add_test_result_attachment, add_test_step_attachment | | Test Plans | Manage test plans and their content. | create_test_plan, update_test_plan, delete_test_plan, list_test_plans, manage_test_plan_content | | Defect Mgmt | Track defects, linkage, and automation rules. | create_defect, get_defect, update_defect, delete_defect, list_defects, link_defect_to_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

| Variable | Description | Example | |:---------|:------------|:--------| | ALLURE_ENDPOINT | Allure TestOps base URL | https://example.testops.cloud | | ALLURE_PROJECT_ID | Default Allure project ID | 123 | | ALLURE_API_TOKEN | Allure API token | ` | | MCP_MODE | MCP transport mode for Lucius runtime | stdio` |

🔌 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](docs/setup.md).

💻 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

For local CLI binary builds with Nuitka, use Python 3.13 (the build scripts and CI workflow enforce this).

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](docs/CLI.md).

📡 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](docs/telemetry.md) for the full data dictionary and telemetry behavior details.

📂 Documentation

Full documentation is available in the [docs/](docs/index.md) folder:

  • [Architecture & Design](docs/architecture.md)
  • [Tool Reference](docs/tools.md)
  • [Configuration & Setup](docs/setup.md)
  • [Telemetry & Privacy](docs/telemetry.md)
  • [Development Guide](docs/development.md)
  • [AI Agent Protocol](docs/agent-documentation-protocol.md)

🤝 Contributing

Contributions are welcome! Please see the [Contribution Guidelines](CONTRIBUTING.md) and the [Development Guide](docs/development.md) for more details.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.