Hvtracker Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Hvtracker Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
MCP server for checking supply-chain trust before connecting to AI agents, frameworks, or MCP servers.
The hosted remote server is:
{
"mcpServers": {
"hvtracker": {
"url": "https://hvtracker.net/mcp"
}
}
}This repository also provides a local stdio package for clients that prefer package-based installation.
<!-- mcp-name: io.github.YugantM/hvtracker-mcp -->
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?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.
name: HVTrust
on: [pull_request]
permissions:
contents: read
pull-requests: write
jobs:
trust:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v7
- uses: YugantM/hvtrust-gate@v1With npm:
npm install -g hvtracker-mcpWith PyPI:
python3 -m pip install hvtracker-mcpExample MCP client config:
{
"mcpServers": {
"hvtracker": {
"command": "hvtracker-mcp"
}
}
}python3 -m pip install -e ".[dev]"
python3 -m pytest
hvtracker-mcpUse a different HVTracker base URL while testing:
HVTRACKER_BASE_URL=http://localhost:8080 hvtracker-mcpThe official MCP Registry manifest is server.json.
mcp-publisher login github
mcp-publisher publishIn 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:
io.github.YugantM/hvtracker-mcpTagged releases build an .mcpb bundle for Claude Desktop from manifest.json. To build it locally:
npm ci --omit=dev
npx @anthropic-ai/[email protected] packHVTracker 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.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.