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HVTracker MCP

PYPI · HVTRACKER-MCP · 4 COMPONENTS

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

−2 this week 75 Trust /100

Last scanned (10 hours ago)

Scores higher than 72% of PyPI servers

Category Security

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security50
  • Malware scan not yet available for this package.Unverified
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs setuptools.build_meta at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
  • 1 of 32 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency97
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to YugantM/hvtracker-mcp). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 36 days ago).Pass
  • Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability70
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 440 tokens (~55/item across 8 items; 8 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management87
  • Stability observed for 26 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 9 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 5 Nov 26 −14
    • Malware scan: pass → unverified ▼ security
  • 4 Nov 26 −3
    • Stability: pass → 0.83 functional
  • 31 Oct 26 +15
    • Malware scan: unverified → pass ▲ security
  • 29 Oct 26 +1
    • Stability: 0.97 → pass security
  • 27 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

  • 25 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 23 Oct 26 +1
    • Package version: 0.3.0 → 0.4.0 functional
  • 21 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Analysed pypi/hvtracker-mcp@0.4.0

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem pypi
Reason Verified
Discovered via Registry attestation endpoint
Source repo YugantM/hvtracker-mcp
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/YugantM/hvtracker-mcp/.github/workflows/publish-pypi.yml@refs/tags/v0.4.0
Rekor log index 2999872438
Predicate type PyPI publish attestation https://docs.pypi.org/attestations/publish/v1
Subject digest sha256:c427f6aae2f20b4cb63b9c31f67549e3a479f0fe538a5aa4bda601844dfe3a51

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted setuptools.build_meta

Background: Why install scripts are a supply-chain risk →

Dependencies 32 packages
Packages resolved 32
No linked repository 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 8 exposed · ~427 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
check_agent_trust ~56

Get the HVTracker trust profile for a tracked AI agent or framework, including its runtime capability surface and the URL of its Ed25519-signed trust credential (verifiable offline).

NameTypeReqDescription
name_or_repostringyes–

Structured output declared, but exposes no named fields.

No examples provided.

compare_agents ~57

Compare two tracked AI agents side by side: both trust profiles, an evidence-based one-line verdict, and the HVTracker compare-page URL when one is published.

NameTypeReqDescription
astringyes–
bstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

get_agent_history ~54

90-day trust-score, grade, and rank history for one tracked agent — is it improving or declining? Accepts the same identifiers as check_agent_trust.

NameTypeReqDescription
name_or_repostringyes–

Structured output declared, but exposes no named fields.

No examples provided.

get_leaderboard ~49

Top tracked AI agents and MCP servers by HVTrust score, optionally scoped to one category (exact name from list_categories).

NameTypeReqDescription
categorystring––
limitinteger––

Structured output declared, but exposes no named fields.

No examples provided.

list_categories ~32

List HVTracker categories with agent counts (most-populated first), so you can then pull a category's leaderboard.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

scan_stack ~59

Bulk pre-connect trust check for a whole dependency set. Paste a requirements.txt, package.json, MCP client config, or a newline/comma list; each item is returned with a trust verdict plus a stack summary.

NameTypeReqDescription
inputstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

search_agents ~43

Search tracked AI agents and frameworks by name, repo, or description.

NameTypeReqDescription
categorystring––
limitinteger––
querystring––

Structured output declared, but exposes no named fields.

No examples provided.

verify_mcp_server ~77

Pre-connect trust verdict for an MCP server or AI agent. Pass a GitHub owner/repo, GitHub URL, npm/PyPI package, display name, slug, or MCP server URL. Unknown servers return trusted=false because HVTracker has no independent evidence, not because harm is proven.

NameTypeReqDescription
serverstringyes–

Structured output declared, but exposes no named fields.

No examples provided.

Install

How do I install the HVTracker MCP server?

HVTracker MCP runs locally as a PyPI package, launched with uvx hvtracker-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · hvtracker-mcp

# add to Claude Code
claude mcp add yugantm-hvtracker-mcp -- uvx hvtracker-mcp
Common questions

What is the HVTracker MCP server?

HVTracker MCP is listed in the public MCP registry as io.github.YugantM/hvtracker-mcp. Pre-connect trust checks for AI agents and MCP servers using HVTracker's public trust registry. This page covers its PyPI package (hvtracker-mcp).

Is the HVTracker MCP server safe to use?

HVTracker MCP scores 75 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the HVTracker MCP server expose?

HVTracker MCP exposes 8 tools: verify_mcp_server, check_agent_trust, compare_agents, search_agents, scan_stack, and 3 more. Their descriptions and schemas cost roughly 427 tokens of context every time the server is loaded.

Is the HVTracker MCP server still maintained?

HVTracker MCP is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the HVTracker MCP server under?

HVTracker MCP declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.