Ha MCP vs SearXNG Search
Both are Grade A and 0.1 points apart, so choose on what you weigh most. Ha MCP leads on maintenance and adoption; SearXNG Search leads on supply-chain integrity and transparency.
Configure and automate Home Assistant with Claude, ChatGPT, and other AI assistants.
Choose Ha MCP if maintenance and adoption matter most.
- +3.2Adoption: 196.5k weekly downloads against 11.8k
- +1.5Maintenance: last push today, against 1d ago
Private web search for AI assistants via SearXNG — supports Claude, Cursor, and any MCP client
Choose SearXNG Search if supply-chain integrity and transparency matter most.
- +1.9Transparency: OSSF Scorecard 8.8 against 6.6
- +0.7Safety / Integrity: OSSF Scorecard 8.8 against 6.6
Where they differ
1 dimension identical: Identity 18.0 · Full evidence table
An independent, evidence-based trust comparison of Ha MCP and SearXNG Search, two MCP Servers projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | Ha MCPhomeassistant-ai/ha-mcp | SearXNG Searchihor-sokoliuk/mcp-searxng |
|---|---|---|
| HVTrust score | 88.6 | 88.7 |
| Evidence grade | A | A |
| Coverage grade | B | B |
| Overall rank | #49 | #47 |
| Rank in MCP Servers | #11 | #10 |
| GitHub stars | 6.1k | 1.4k |
| Last updated | today | 1d ago |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 6.6 / 10 | 8.8 / 10 |
| License | MIT | MIT |
| Downloads | 197k/wk | 12k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 17.8 | 18.5 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 14.1 | 16.0 |
| Maintenance / 20 | 20.0 | 18.5 |
| Adoption / 20 | 16.1 | 12.9 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | — | — |
| Requires API keys | Yes | No |
| Plugin surface | extensions | — |
| Provenance drift | Match | Match |
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →