HVTracker MCP

MCP serverAI & models

Your 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

Details

Available today. Use it from your connected AI after setup.

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.

HVTracker MCPStart free

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/mcp

    Add 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/mcp

    In 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_trust
  • verify_mcp_server
  • compare_agents
  • search_agents
  • scan_stack
  • list_categories
  • get_leaderboard
  • get_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