HVTracker MCP
MCP serverAI & modelsYour AI can check the trust record of a tool or another AI agent before connecting to it. Once added, your AI can look up trust information in HVTracker's public trust registry, so the check happens before a connection is made rather than after. It covers AI agents and the tools and services they connect to.
Use HVTracker MCP in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add HVTracker MCP and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use HVTracker MCP to check agent trust
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
Details
Available today. Use it from your connected AI after setup.
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
After adding it, ask your AI to run a trust check on a tool or AI agent before connecting to it. Your AI will look the entry up in HVTracker's public trust registry and share what it finds.
What your AI can do with it
- Run a trust check before your AI connects to a new tool or service
- Look up entries in HVTracker's public trust registry
- Check AI agents before a connection is made
- Review trust information for a tool before connecting to it
Install HVTracker MCP
The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user hvtracker-mcp 'https://hvtracker.net/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://hvtracker.net/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=hvtracker-mcp&config=eyJ1cmwiOiJodHRwczovL2h2dHJhY2tlci5uZXQvbWNwIn0=Open the link and Cursor adds the server at that address.
ChatGPT
https://hvtracker.net/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add hvtracker-mcp --url 'https://hvtracker.net/mcp'Run it once, then sign in with codex mcp login hvtracker-mcp if the server asks for an account.
From the project's README
As published by yugantm/hvtracker-mcp in README.md.
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?
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.
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@v1
Local Install
With npm:
npm install -g hvtracker-mcp
With PyPI:
python3 -m pip install hvtracker-mcp
Example MCP client config:
{
"mcpServers": {
"hvtracker": {
"command": "hvtracker-mcp"
}
}
}
Development
python3 -m pip install -e ".[dev]"
python3 -m pytest
hvtracker-mcp
Use a different HVTracker base URL while testing:
HVTRACKER_BASE_URL=http://localhost:8080 hvtracker-mcp
Registry Publishing
The official MCP Registry manifest is server.json.
mcp-publisher login github
mcp-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:
io.github.YugantM/hvtracker-mcp
Claude 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 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.
Tools it offers (8)
What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.
check_agent_trustverify_mcp_servercompare_agentssearch_agentsscan_stacklist_categoriesget_leaderboardget_agent_history
Signals
- GitHub stars
- 1
- Forks
- 1
- Last commit
- Sep 2026
- Weekly downloads
- 261
Advanced
- Delivery
- hvtracker-mcp MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-yugantm-hvtracker-mcp- Source
- github.com/yugantm/hvtracker-mcp
- Hosted endpoint
https://hvtracker.net/mcp
github.com/yugantm/hvtracker-mcp
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