Ha MCP

The Unofficial and Awesome Home Assistant MCP Server

MCP Servers Python Listed MIT

Is Ha MCP safe? Strong public trust posture, backed by multiple independent signals.

OSSF Scorecard 6.1 / 10
Provenance Attested
Signed commits 52%
Last push today
Compare Ha MCP
Suggest a correction

In detail: Ha MCP scores 87.5/100 (Grade A), ranked #47 of 1325 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: its packages ship with cryptographic provenance; OSSF Scorecard rates its supply-chain practices 6.1/10; 52% of recent commits are signed; last pushed 2026-09-26. Every point is earned from checkable signals — never paid placement. How scoring works →

How Ha MCP compares in MCP Servers

  1. #9 ARC-1 88.1 +0.6
  2. #10 Hevy MCP Server 87.8 +0.3
  3. #11 Ha MCP 87.5 this agent
  4. #12 MCP Hangar 87.4 −0.1
  5. #13 Canvas MCP 87.4 −0.1

Bars show each HVTrust score; the tick marks Ha MCP’s 87.5.

Where the 87.5 comes from

HVTrust dimensions vs the MCP Servers average

87.5 / 100 · 100.0% confidence

Ha MCP MCP Servers average (775 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
17.7 / 25
7.4 above avg 10.3
Identity / Provenance60% listing status · 40% build provenance
18.0 / 18
4.6 above avg 13.4
Transparency50% declared license · 50% OSSF Scorecard
13.7 / 17
1.5 above avg 12.2
Maintenance60% last-push freshness · 40% commit activity
20.0 / 20
8.0 above avg 12.0
AdoptionLog-scaled stars · package downloads
15.0 / 20
7.8 above avg 7.2

Quick Trust Read

What Would Improve It
Improve safety / integrity to lift the weakest part of the trust profile.
Recent Changes
2026-09-23
Tool Surface Changed
Detected tool/plugin surface changed: none → extension-based
2026-09-23
Mcp Status Changed
Detected MCP server support changed: none → implemented
2026-09-23
Provenance Added
Package provenance attestation detected
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 6.1/10. Tighten the weakest checks to improve public safety evidence.
83.0
Activity sub-score · out of 100
#11

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade A reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-09-26 12:32 UTC · Repo last pushed today

Rank Trend

2026-08-11 2026-09-26

Activity & Reach

Stars
4.9k
Forks
221
Last Push
2026-09-26
today
Commits (4 wk)
321
Downloads (7d)
42,217
pypi
HN mentions (30d)
—
Open Issues
10
Rank Change
▲1
was #48

Analysis

Activity Inputs

83.0 / 100
StarsRepository reach
22.1 / 30
FreshnessLast push recency
25.0 / 25
ActivityRecent commits
25 / 25
CommunityFork signal
10.9 / 20

Supply Chain Trust

Package Provenance
Verified
pypi attestation
OSSF Scorecard
6.1 / 10
OpenSSF Scorecard · scanned Sep 22, 2026
Signed Commits
52%
of last 100 commits verified
Binary-Artifacts 10
Branch-Protection 4
CI-Tests 10
CII-Best-Practices 0
Code-Review 2
Contributors 3
Dangerous-Workflow 10
Dependency-Update-Tool 10
Fuzzing 0
License 10
Maintained 10
Packaging 10
Pinned-Dependencies 8
SAST 8
Security-Policy 10
Signed-Releases 0
Token-Permissions 0
Vulnerabilities 4

Common questions about Ha MCP

Public supply-chain signals for Ha MCP are strong: it has multiple independent trust indicators in place. This does not replace your own security review, but Ha MCP carries less obvious unverified-evidence risk than projects with thin signals.
Does Ha MCP publish package provenance?
Yes. Ha MCP's package releases carry build provenance attestations, which cryptographically link the published package back to its source repository and CI workflow.
Does Ha MCP have an OpenSSF Scorecard?
Ha MCP has an OpenSSF Scorecard score of 6.1/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.
Is Ha MCP actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does Ha MCP use?
Ha MCP ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Ha MCP's commits signed?
52% of the last 100 commits to Ha MCP are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

AI agent surface

MCP, providers, tool surface
Scored in HVTrust

These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →

MCP Server Support
high confidence
Implemented
Ha MCP appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
low confidence
None detected
No clear third-party provider dependency detected.
Credential signal: API keys or service config markers documented.
Tool / Plugin Surface
high confidence
Extensions
Extension based plugin/integration surface detected.
Detailed evidence is not shown in the public view.
Package Provenance Drift
high confidence
Match
Published package metadata matches the tracked repo
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live
How this surface has changed

Detected changes to Ha MCP's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.

2026-09-23
Tool Surface Changed
Detected tool/plugin surface changed: none → extension-based
2026-09-23
Mcp Status Changed
Detected MCP server support changed: none → implemented
2026-09-23
Provenance Added
Package provenance attestation detected

Maintain Ha MCP?

For maintainers

HVTrust scores Ha MCP from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Reputation Timeline

Signal history
Listed 2HVTrust 2Rank 2Grade 2Scorecard 1Delisted 1Provenance 1MCP 1Surface 1
2026-09-23
Tool Surface Changed
Detected tool/plugin surface changed: none → extension-based
2026-09-23
Mcp Status Changed
Detected MCP server support changed: none → implemented
2026-09-23
Provenance Added
Package provenance attestation detected
2026-09-23
Grade Changed
Trust grade D → A
2026-09-23
Rank Moved
Rank rose 545 spots (#584 → #39)
2026-09-23
HVTrust Changed
HVTrust up 53.1pts (34.7 → 87.8)
2026-09-22
Newly Listed
First tracked at rank #584
2026-09-21
Removed From Active Tracking
Removed from active tracking
2026-08-26
Scorecard Added
OSSF Scorecard: 5.9/10
2026-08-26
Grade Changed
Trust grade B → A
2026-08-26
Rank Moved
Rank rose 56 spots (#85 → #29)
2026-08-26
HVTrust Changed
HVTrust up 11.0pts (76.7 → 87.7)
2026-08-08
Newly Listed
First tracked at rank #78

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 87.5 Grade A
Markdown:
[![HVTrust](https://hvtracker.net/badge/ha-mcp.svg)](https://hvtracker.net/agents/ha-mcp)
HTML:
<a href="https://hvtracker.net/agents/ha-mcp"><img src="https://hvtracker.net/badge/ha-mcp.svg" alt="HVTrust"></a>

Other agents in MCP Servers

Data sources
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON