Homelab MCP Server
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
The single tool 'homelab' has clearly distinct subactions organized by resource type (container, compose, host, docker, image, scout), each with specific operations that don't overlap. Subactions like 'list', 'start', 'logs' are unambiguous within their categories.
Naming Consistency5/5All subactions follow a consistent verb_noun pattern (e.g., 'list', 'start', 'logs', 'inspect') across all categories. The naming is uniform with clear, descriptive verbs that match their functions without mixing conventions.
Tool Count2/5With only 1 tool, the server feels under-scoped for its broad domain of homelab Docker management. The single tool bundles multiple distinct functionalities (container management, compose operations, host monitoring, etc.) that might be better served as separate tools for clarity and modularity.
Completeness4/5The tool provides comprehensive coverage for Docker and homelab management, including CRUD-like operations for containers, images, and compose projects, plus host monitoring and remote file operations. Minor gaps might include advanced features like container networking or volume management, but core workflows are well-covered.
Average 3.7/5 across 1 of 1 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 153 commits in the last 12 weeks
- Last stable release on
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is failing
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
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How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds significant behavioral context beyond annotations. While annotations indicate non-readOnly, openWorld, non-idempotent, and non-destructive operations, the description reveals specific capabilities like container state changes, file operations via SSH, and resource management. It doesn't contradict annotations and provides practical operational details.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with clear sections (ACTIONS, EXAMPLES) but is quite lengthy. While every section adds value, it could be more front-loaded with a clearer high-level summary. The examples section is extensive but necessary given the tool's complexity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (multiple action categories, many subactions) and lack of output schema, the description provides substantial context through examples and operational details. It covers most usage scenarios but could benefit from more guidance on error handling or response formats. For a tool with this scope and no output schema, it's reasonably complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0 parameters and 100% schema description coverage, the baseline would be 4. The description compensates by detailing action/subaction combinations and providing numerous examples showing parameter usage patterns. It effectively communicates how to structure requests despite the empty formal schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states this is a 'Unified homelab Docker management tool' with specific action categories (container, compose, host, docker, image, scout). It provides a comprehensive overview of capabilities but doesn't differentiate from siblings since there are none. The purpose is well-defined with multiple concrete operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides implied usage through examples and action/subaction structure, showing how to invoke different operations. However, it lacks explicit guidance on when to choose specific actions over alternatives or any prerequisites. The examples demonstrate usage patterns but don't provide strategic guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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- Evaluate tool definition quality.
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