io.github.yugantm/hvtracker-mcp
MCP server for checking supply-chain trust before connecting to AI agents, frameworks, or MCP servers.
README
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.
<!-- mcp-name: io.github.YugantM/hvtracker-mcp -->
Tools
verify_mcp_server: pre-connect trust verdict for an MCP server, package, GitHub repo, or agent name.check_agent_trust: compact trust profile for a tracked AI agent or framework.search_agents: search the HVTracker registry by name, repo, description, or category.
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.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.