Upstash MCP Server
Upstash Model Context Server
Is Upstash MCP Server safe? Promising trust profile, but some evidence still deserves review.
Compare Upstash MCP Server
How does it stack up against its MCP Servers neighbours?
Pick any agent to compare →In detail: Upstash MCP Server scores 71.4/100 (Grade B), ranked #304 of 1343 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 4.1/10; 80% of recent commits are signed; no published advisory affects its latest release (@upstash/mcp-server); last pushed 2026-09-01. Every point is earned from checkable signals — never paid placement. How scoring works →
How Upstash MCP Server could raise its score
Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.
- Raise the OSSF Scorecard from 4.1 to 9.0lowest checks: Branch-Protection 0, CII-Best-Practices 0, Dependency-Update-Tool 0 +10.2 → 81.6 A · #62 of 778
- Sign every commit80% signed today +1.0 → 72.4 B · #170 of 778
How Upstash MCP Server compares in MCP Servers
- #178 Opentargets MCP 71.5 +0.1
- #179 Polymarket Agent MCP 71.4 ±0
- #180 Upstash MCP Server 71.4 this agent
- #181 Apple Mail MCP 71.4 ±0
- #182 AWS MCP Servers 71.3 −0.1
Bars show each HVTrust score; the tick marks Upstash MCP Server’s 71.4.
Where the 71.4 comes from
HVTrust dimensions vs the MCP Servers average
71.4 / 100 · 100.0% confidenceUpstash MCP Server MCP Servers average (778 agents)
Quick Trust Read
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade B 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 →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
40.8 / 100Supply Chain Trust
Common questions about Upstash MCP Server
Does Upstash MCP Server publish package provenance?
Does Upstash MCP Server have an OpenSSF Scorecard?
Is Upstash MCP Server actively maintained?
What license does Upstash MCP Server use?
Are Upstash MCP Server's commits signed?
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
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 signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to Upstash MCP Server'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.
Maintain Upstash MCP Server?
For maintainers
HVTrust scores Upstash MCP Server 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
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/upstash-mcp-server)
<a href="https://hvtracker.net/agents/upstash-mcp-server"><img src="https://hvtracker.net/badge/upstash-mcp-server.svg" alt="HVTrust"></a>
Other agents in MCP Servers
GitHub REST API (repo, commits, stars, forks, license) · npm Registry (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.4 · Raw JSON