-
licenseNot graded
qualityA
maintenanceMCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.
117,296
90,042
MIT
mcp-github-trending
by hetaoBackend
mcp-github-trending MCP 服务器
MCP 服务器通过简单的 API 接口提供对 GitHub 趋势存储库和开发人员数据的访问。
特征
访问 GitHub 热门存储库和开发人员数据
按编程语言过滤
按时间段过滤（每日、每周、每月）
按口语过滤
返回格式良好的 JSON 响应
Related MCP server: ossinsight-mcp
工具
该服务器实现了以下工具：
获取 github 趋势存储库
使用以下参数从 GitHub 获取热门存储库：
language（可选）：用于过滤存储库的编程语言（例如“python”，“javascript”）since（可选）：筛选仓库的时间段（“每日”、“每周”、“每月”）。默认为“每日”。spoken_language（可选）：用于筛选存储库的口语
响应示例：
[
{
"name": "repository-name",
"fullname": "owner/repository-name",
"url": "https://github.com/owner/repository-name",
"description": "Repository description",
"language": "Python",
"stars": 1000,
"forks": 100,
"current_period_stars": 50
}
]获取 github 趋势开发者
使用以下参数从 GitHub 获取热门开发人员：
language（可选）：要过滤的编程语言（例如“python”，“javascript”）since（可选）：过滤的时间段（“每日”、“每周”、“每月”）。默认为“每日”
响应示例：
[
{
"username": "developer",
"name": "Developer Name",
"url": "https://github.com/developer",
"avatar": "https://avatars.githubusercontent.com/u/123456",
"repo": {
"name": "repository-name",
"description": "Repository description",
"url": "https://github.com/developer/repository-name"
}
}
]安装
先决条件
Python 3.12
安装步骤
安装软件包：
pip install mcp-github-trendingClaude桌面配置
在 MacOS 上：
~/Library/Application\ Support/Claude/claude_desktop_config.json在 Windows 上：
%APPDATA%/Claude/claude_desktop_config.json{
"mcpServers": {
"mcp-github-trending": {
"command": "uv",
"args": [
"--directory",
"/path/to/mcp-github-trending",
"run",
"mcp-github-trending"
]
}
}
}{
"mcpServers": {
"mcp-github-trending": {
"command": "uvx",
"args": [
"mcp-github-trending"
]
}
}
}发展
构建和发布
同步依赖项并更新锁文件：
uv sync构建软件包分发版：
uv build发布到 PyPI：
uv publish注意：通过环境变量或命令标志设置 PyPI 凭据：
令牌：
--token或UV_PUBLISH_TOKEN用户名/密码：
--username/UV_PUBLISH_USERNAME和--password/UV_PUBLISH_PASSWORD
调试
为了获得最佳调试体验，请使用MCP Inspector 。
通过npm启动 MCP 检查器：
npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-github-trending run mcp-github-trending检查器将显示一个 URL，您可以在浏览器中访问该 URL 以开始调试。
执照
该项目根据 MIT 许可证获得许可 - 有关详细信息，请参阅LICENSE文件。
Available Tools
2 toolsget_github_trending_developersC
Get trending developers on github
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| language | No | Language to filter repositories by | |
| since | No | Time period to filter repositories by | |
| spoken_language | No | Spoken language to filter repositories by |
TDQS
C2.9/5.0
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but only states the action without disclosing behavioral traits like rate limits, authentication needs, or output format. It's a read operation implied by 'Get', but details on pagination, error handling, or data freshness are missing.
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 zero waste, front-loading the core purpose. It's appropriately sized for a simple tool, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations and output schema, the description is incomplete. It doesn't address behavioral aspects or return values, leaving gaps in understanding how the tool behaves and what results to expect, which is inadequate for a tool with parameters and no structured output info.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100%, so parameters are well-documented in the schema. The description adds no additional meaning beyond implying filtering for 'trending developers', which aligns with the schema but doesn't enhance understanding. Baseline 3 is appropriate as the schema does the heavy lifting.
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 'Get trending developers on github' clearly states the verb ('Get') and resource ('trending developers'), making the purpose understandable. However, it doesn't differentiate from the sibling tool 'get_github_trending_repositories' beyond the resource type, which is a minor gap in specificity.
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, such as the sibling tool for trending repositories. It lacks any context about scenarios where developers vs. repositories are relevant, leaving usage decisions to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_github_trending_repositoriesC
Get trending repositories on github
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| language | No | Language to filter repositories by | |
| since | No | Time period to filter repositories by | |
| spoken_language | No | Spoken language to filter repositories by |
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 action ('Get') but doesn't describe any behavioral traits such as rate limits, authentication requirements, data freshness, or what 'trending' entails (e.g., based on stars, forks). This leaves significant gaps in understanding how the tool behaves in practice.
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 zero waste. It's front-loaded with the core purpose and uses minimal words to convey the essential action, making it highly concise and well-structured for quick understanding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a tool that fetches trending data with three parameters and no output schema, the description is incomplete. It lacks details on what 'trending' means, the return format, any limitations, or how to interpret results. Without annotations or an output schema, the description should provide more context to be fully helpful.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, with clear documentation for all three parameters (language, since, spoken_language). The description adds no additional parameter semantics beyond what's in the schema, such as examples or constraints. With high schema coverage, the baseline score of 3 is appropriate, as the schema does the heavy lifting.
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 ('trending repositories on github'), making the purpose immediately understandable. It distinguishes from the sibling tool 'get_github_trending_developers' by specifying repositories rather than developers. However, it doesn't specify what 'trending' means or the scope (e.g., global vs. user-specific), keeping it from a perfect score.
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. It doesn't mention the sibling tool 'get_github_trending_developers' or any other potential tools for GitHub data. There's no context about prerequisites, limitations, or typical use cases, leaving the agent with minimal usage direction.
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. Dates show when Glama detected each change.
2 tool updates
v1.0.0- First observed
get_github_trending_developers - First observed
get_github_trending_repositories
TDQS
B3.2/5.0
Disambiguation5/5
The two tools have perfectly distinct purposes: one targets trending developers, the other trending repositories. There is no overlap in functionality, and an agent can easily differentiate between them based on the clear resource distinction.
Naming Consistency5/5
Both tools follow an identical verb_noun pattern with 'get_github_trending_' prefix, ensuring complete predictability. The naming is highly consistent and readable, with no deviations in style or structure.
Tool Count2/5
With only 2 tools, the server feels thin for its apparent scope of 'github-trending'. While it covers two key resources, the lack of filtering, sorting, or time-range options limits utility, making the count borderline insufficient for robust trending analysis.
Completeness3/5
The server provides basic access to trending developers and repositories, but there are notable gaps. Missing operations include filtering by language, location, or time period, and there is no way to get historical trending data or detailed analytics, which are common needs in this domain.
Maintenance
ActivityInactive
ResponsivenessSyncing
Resources
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