A
licenseNot graded
qualityD
maintenanceA server that implements the Model Context Protocol, providing a standardized way to connect AI models to different data sources and tools.
7 npm
11
MIT
Compresto MCP
by dqhieu
压缩 MCP
Compresto 的模型上下文协议 (MCP) 服务器，为 AI 助手提供有关 Compresto 使用情况统计的实时数据。
Compresto 是什么？
Compresto 是一款文件压缩应用，可帮助用户减小文件大小。该 MCP 服务器允许 AI 助手访问 Compresto 的最新使用情况统计信息。
Related MCP server: RL-MCP
什么是 MCP？
模型上下文协议 (MCP) 是一种连接 AI 系统与外部工具和数据源的标准。该 MCP 服务器通过提供对 Compresto 使用情况统计信息的访问权限来扩展 AI 功能。
安装
git clone https://github.com/dqhieu/compresto-mcp
cd compresto-mcp
npm install
npm run build手动配置
将以下内容添加到您的 MCP 设置文件中
{
"mcpServers": {
"compresto": {
"command": "node",
"args": [
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/compresto-mcp/build/index.js"
]
}
}
}当与兼容的 AI 助手集成时，该 MCP 服务器可提供有关 Compresto 使用情况的实时数据。
可用工具
Compresto MCP 服务器提供以下工具：
获取总用户数
返回 Compresto 用户的总数。
示例响应： 12345
获取已处理文件总数
返回 Compresto 处理的文件总数。
响应示例： Processed 67890 files
减少总尺寸
返回 Compresto 减少的文件大小总量。
响应示例： Reduced 1234567890 bytes
发展
先决条件
Node.js（v16 或更高版本）
npm 或 yarn
项目结构
src/index.ts- 包含 MCP 服务器实现的主入口点package.json- 项目依赖项和脚本tsconfig.json- TypeScript 配置
执照
MIT 许可证
Available Tools
3 toolsget-total-processed-filesB
Get total processed files of Compresto
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
B3.2/5.0
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states what the tool does but doesn't reveal any behavioral traits such as whether it's read-only, requires authentication, has rate limits, or what the return format might be. This is a significant gap for a tool with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with no wasted words. It's front-loaded with the core purpose, making it highly concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (0 parameters, no output schema, no annotations), the description is minimally adequate. It states the purpose but lacks behavioral context and usage guidance, making it incomplete for optimal agent understanding despite the low complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate, earning a baseline score of 4 for tools with no parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Get') and resource ('total processed files of Compresto'), providing a specific purpose. However, it doesn't differentiate from sibling tools like 'get-total-size-reduced' or 'get-total-users', which would require explicit comparison to earn a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like the sibling tools. There's no mention of context, prerequisites, or exclusions, leaving usage entirely implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get-total-size-reducedC
Get total file size reduced of Compresto
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
C2.9/5.0
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves data ('Get'), implying a read-only operation, but doesn't specify if it requires authentication, has rate limits, returns real-time or historical data, or what format the output is in. The description lacks details on behavioral traits beyond the basic action.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence that directly states the tool's purpose without unnecessary words. It's front-loaded and efficient, though it could be slightly more informative by clarifying terms like 'Compresto' and 'reduced' to improve clarity without sacrificing brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has no parameters, no annotations, and no output schema, the description is minimally adequate but incomplete. It explains what the tool does at a high level but lacks details on output format, data scope, or behavioral context. For a simple retrieval tool, this might suffice, but it leaves gaps in understanding the tool's full behavior and usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description doesn't add parameter information, which is appropriate here. A baseline of 4 is applied since there are no parameters to describe, and the schema fully covers this aspect.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the action ('Get') and target ('total file size reduced of Compresto'), which is clear but vague. It doesn't specify what 'Compresto' is (e.g., a system, service, or dataset) or what 'reduced' means (e.g., compression, deduplication, or cleanup). It distinguishes from siblings by focusing on size reduction rather than processed files or users, but the purpose remains somewhat ambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus its siblings. The description doesn't mention context, prerequisites, or alternatives. While it implies usage for monitoring size reduction metrics, there's no explicit direction on when it's appropriate or how it relates to other tools like 'get-total-processed-files' or 'get-total-users'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get-total-usersB
Get total users of Compresto
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
B3.2/5.0
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states a read operation ('Get'), implying it's likely safe and non-destructive, but doesn't specify whether it requires authentication, has rate limits, returns real-time or cached data, or details about the output format. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without any fluff or redundancy. It is front-loaded and wastes no words, making it easy for an agent to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (0 parameters, no output schema, no annotations), the description is minimally adequate. It explains what the tool does but lacks details on behavioral traits and usage context. For a basic read tool, this might suffice, but it doesn't fully address potential agent needs like output format or integration with siblings.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add parameter information, which is appropriate here. A baseline score of 4 is given since the schema fully handles parameters, and the description doesn't need to compensate for any gaps.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Get') and resource ('total users of Compresto'), making the purpose immediately understandable. It distinguishes from siblings by focusing on users rather than files or size reduction, though it doesn't explicitly contrast them. The description avoids tautology by specifying what is being retrieved.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like its siblings (get-total-processed-files, get-total-size-reduced). It lacks context about use cases, prerequisites, or exclusions, leaving the agent to infer usage based solely on the tool name and description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
3 tool updates
v1.0.0- First observed
get-total-processed-files - First observed
get-total-size-reduced - First observed
get-total-users
TDQS
B3.2/5.0
Scored across 3 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: one retrieves processed file count, another gets size reduction data, and the third provides user count. There is no overlap in functionality, making it easy for an agent to select the correct tool without confusion.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern with hyphens (e.g., get-total-processed-files, get-total-size-reduced, get-total-users). This uniformity enhances readability and predictability across the tool set.
Tool Count3/5
With only 3 tools, the set feels thin for a server named 'Compresto MCP', which might imply broader functionality. However, the tools are well-scoped for reporting metrics, so it's borderline but not severely lacking.
Completeness2/5
The tools only provide read-only metrics (get operations) with no ability to perform actions like processing files, managing users, or configuring settings. This creates significant gaps for a server that might be expected to handle file processing or user management tasks.
Maintenance
ActivityInactive
ResponsivenessNo issues
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