Hvtracker Mcp

by YugantM

216 downloads
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GitHub

About

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

Details

Author
YugantM
Downloads
216
Categories
Developer Tools, Security, AI, Other

- Pre-connect trust checks for AI agents
- Trust verification for frameworks and packages
- Trust checks for MCP servers
- Uses HVTracker's public trust registry
- Operates as a remote MCP endpoint

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Hvtracker Mcp
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Configure your MCP client to use the remote endpoint https://hvtracker.net/mcp and pass trust queries for the entities you wish to check. No local installation is required.

check_agent_trust

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

verify_mcp_server

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

compare_agents

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

search_agents

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

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?

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

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

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

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

- 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?

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

The official MCP Registry manifest isserver.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.

Tagged releases build an.mcpbbundle for Claude Desktop frommanifest.json. To build it locally:

npm ci --omit=dev npx @anthropic-ai/mcpb@2.1.2 pack

HVTracker MCP sends the user-supplied search string or server identifier tohttps://hvtracker.netto 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 seePRIVACY.mdfor the repository privacy note.

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