io.github.yugantm/hvtracker-mcp
HVTracker MCP is a supply-chain trust verification server that lets you assess the safety and trustworthiness of AI agents, MCP servers, and frameworks before connecting to them.
Verify MCP Server Trust (
verify_mcp_server): Get a pre-connect trust verdict for an MCP server or AI agent by providing a GitHub owner/repo, GitHub URL, npm/PyPI package name, display name, slug, or MCP server URL — helping you decide whether it's safe to connect.Check Agent Trust Profile (
check_agent_trust): Retrieve a detailed HVTracker trust profile for a specific tracked AI agent or framework by name or repository identifier.Search the Agent Registry (
search_agents): Search the HVTracker registry of tracked AI agents and frameworks by name, repository, description, or category, with configurable result limits.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@io.github.yugantm/hvtracker-mcpverify trust for the GitHub MCP server"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
HVTracker MCP
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.
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?
Related MCP server: Agent Identity MCP Server
Local Install
With npm:
npm install -g hvtracker-mcpWith PyPI:
python3 -m pip install hvtracker-mcpExample MCP client config:
{
"mcpServers": {
"hvtracker": {
"command": "hvtracker-mcp"
}
}
}Development
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-mcpRegistry Publishing
The 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-mcpClaude Desktop Extension
Tagged releases build an .mcpb bundle for Claude Desktop from manifest.json.
To build it locally:
npm ci --omit=dev
npx @anthropic-ai/mcpb@2.1.2 packPrivacy
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.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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