HVTracker MCP

io.github.YugantM由 GitHub 账号 YugantM 发布v0.4.0更新于 Oct 24, 2026

Pre-connect trust checks for AI agents and MCP servers using HVTracker's public trust registry.

已验证Streamable HTTP可网页运行开发者工具安全与监控

概览

AI 生成的概览

让助手查询 HVTracker 公开信任注册表,在连接 AI 代理、MCP 服务器和依赖项之前进行信任检查。

可以做什么
提供工具,为 MCP 服务器、软件包、GitHub 仓库和代理名称返回连接前的信任判定,并为已收录的 AI 代理和框架提供信任档案,包括运行时能力和已签名信任凭证的 URL。它还能并排比较两个代理、搜索注册表、根据 requirements.txt、package.json 或 MCP 客户端配置批量检查整套依赖、列出分类、按 HVTrust 分数显示排行榜,以及返回某个代理 90 天的信任分数历史。
适用场景
适合在添加 AI 代理、MCP 服务器或软件包依赖之前需要信任信号的场景,也适合在 CI 中审查依赖变更。用于比较代理,或跟踪某个已收录代理的信任分数是在上升还是下降,也很方便。
运行要求
可作为托管远程端点使用,地址为 npm 包 hvtracker-mcp 或 PyPI 包 hvtracker-mcp 在本地以 stdio 方式安装。未声明需要 API 密钥或环境变量;需要能访问 hvtracker.net。README 提到可选用 HVTRACKER_BASE_URL 变量来测试其他基础地址。
安装前请注意
搜索字符串以及服务器或代理标识符会发送到 以获取公开信任数据,因此查询内容会离开本机。README 声明不需要 API 密钥,也不会写入用户系统。信任判定来自第三方注册表,依赖之前请到 HVTracker 网站核实方法与当前数据。

安装

在 SourceWeft 中

  1. 打开 控制台中的 HVTracker MCP,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.YugantM%2Fhvtracker-mcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "hvtracker": {
      "type": "http",
      "url": "https://hvtracker.net/mcp"
    }
  }
}

README

HVTracker MCP

[Smithery] [npm] [PyPI] [License: MIT]

MCP server for checking supply-chain trust before connecting to AI agents, frameworks, or MCP servers.

The hosted remote server is:

json
{  "mcpServers": {    "hvtracker": {      "url": "https://hvtracker.net/mcp"    }  }}

This repository also provides a local stdio package for clients that prefer package-based installation.

Tools

  • verify_mcp_server: pre-connect trust verdict for an MCP server, package, GitHub repo, or agent name.
  • check_agent_trust: trust profile for a tracked AI agent or framework — incl. runtime capabilities (MCP status, providers, plugin surface, provenance drift) and the URL of its Ed25519-signed trust credential.
  • compare_agents: two agents side by side with an evidence-based verdict and the published compare-page link.
  • search_agents: search the HVTracker registry by name, repo, description, or category.
  • scan_stack: bulk pre-connect trust check for a whole dependency set — paste a requirements.txt, package.json, MCP client config, or a plain list and get a trust verdict per item plus a stack summary.
  • list_categories: list the HVTracker categories with agent counts, so you can then pull a category's leaderboard.
  • get_leaderboard: top tracked AI agents and MCP servers ranked by HVTrust score, optionally filtered to one category.
  • get_agent_history: 90-day trust-score, grade, and rank history for one tracked agent — is it improving or declining?

Check your AI dependencies in CI

HVTrust Gate runs the same trust checks in GitHub Actions. With no configuration it reads your requirements.txt, pyproject.toml, package.json and MCP client configs, and comments on pull requests that change them with the HVTrust grade of each AI agent and MCP server you depend on.

yaml
name: HVTruston: [pull_request]permissions:  contents: read  pull-requests: writejobs:  trust:    runs-on: ubuntu-latest    steps:      - uses: actions/checkout@v7      - uses: YugantM/hvtrust-gate@v1

Local Install

With npm:

bash
npm install -g hvtracker-mcp

With PyPI:

bash
python3 -m pip install hvtracker-mcp

Example MCP client config:

json
{  "mcpServers": {    "hvtracker": {      "command": "hvtracker-mcp"    }  }}

Development

bash
python3 -m pip install -e ".[dev]"python3 -m pytesthvtracker-mcp

Use a different HVTracker base URL while testing:

bash
HVTRACKER_BASE_URL=http://localhost:8080 hvtracker-mcp

Registry Publishing

The official MCP Registry manifest is server.json.

bash
mcp-publisher login githubmcp-publisher publish

In GitHub Actions, run the "Publish MCP Registry" workflow after the npm, PyPI, and GHCR packages for the same version are live.

The server name is:

text
io.github.YugantM/hvtracker-mcp

Claude Desktop Extension

Tagged releases build an .mcpb bundle for Claude Desktop from manifest.json. To build it locally:

bash
npm ci --omit=devnpx @anthropic-ai/[email protected] pack

Privacy

HVTracker MCP sends the user-supplied search string or server identifier to https://hvtracker.net to fetch public trust data. It does not require an API key and does not write to user systems. See the HVTracker site for current data and methodology, and see PRIVACY.md for the repository privacy note.

来源:README.md,提交 d1dd8e4

工具

8

check_agent_trust

Check Agent Trust

Get the HVTracker supply-chain trust profile for a tracked AI agent or framework.

输入参数name_or_repo必填

verify_mcp_server

Verify MCP Server

Pre-connect trust verdict for an MCP server, package, GitHub repo, or agent name before connecting an AI agent to it.

输入参数server必填

compare_agents

Compare Agents

Compare two tracked AI agents side by side: trust scores, grades, runtime capabilities, and an evidence-based verdict.

输入参数a必填b必填

search_agents

Search Agents

Search tracked AI agents and frameworks by name, repo, description, or category, ranked by trust score.

输入参数limitquerycategory

scan_stack

Scan Stack

Bulk pre-connect trust check for a whole dependency set — paste a requirements.txt, package.json, MCP client config, or a plain list and get a trust verdict per item plus a stack summary.

输入参数input必填

list_categories

List Categories

List the HVTracker categories with agent counts, so you can then pull a category's leaderboard.

无需输入参数。

get_leaderboard

Get Leaderboard

Top tracked AI agents and MCP servers ranked by HVTrust score, optionally filtered to one category.

输入参数limitcategory

get_agent_history

Get Agent History

90-day trust-score, grade, and rank history for one tracked agent — is it improving or declining?

输入参数name_or_repo必填

版本历史

2
  1. v0.4.0最新Sep 29, 2026
  2. v0.3.0Sep 16, 2026

评分

已满足适用检查项的 100%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分