Appwrite MCP
Appwrite’s MCP server. Operating your backend has never been easier.
Is Appwrite MCP safe? Promising trust profile, but some evidence still deserves review.
Compare Appwrite MCP
How does it stack up against its MCP Servers neighbours?
- MCP Notion Server +0.1 higher
- Red Hat Lightspeed MCP same score
- Paparats – Local Semantic Code Search MCP 0.3 lower
In detail: Appwrite MCP scores 63.8/100 (Grade C), ranked #576 of 1374 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 5.2/10; 48% of recent commits are signed; last pushed 2026-11-10. Every point is earned from checkable signals — never paid placement. How scoring works →
How Appwrite MCP 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.
- Publish build provenance for its packagesPyPI Trusted Publishing attestations +14.7 → 78.5 B · #121 of 778
- Raise the OSSF Scorecard from 5.2 to 9.0lowest checks: Branch-Protection 0, CII-Best-Practices 0, Dependency-Update-Tool 0 +8.0 → 71.8 B · #199 of 778
- Sign every commit48% signed today +2.6 → 66.4 B · #279 of 778
Chain of custody
Scanners check what the code says. This traces who ships Appwrite MCP and whether that has changed: from the source repository, through how changes are reviewed and released, to the package you install. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities.
-
Source Partly signed
github.com/appwrite/mcp, MIT, last pushed 2026-11-10. 48% of the last 100 commits carry a verified signature; the rest can't be tied to a verified identity.
-
Review and release Mixed
OpenSSF Scorecard rates the repository's practices 5.2/10 (scanned Nov 10, 2026). The checks that decide who can get a change released:
- Code Review5
- Branch Protection0
- Signed Releasesn/a
- Dangerous Workflow10
- Token Permissions0
- Pinned Dependencies8
All 18 Scorecard checks
Binary-Artifacts 10Branch-Protection 0CI-Tests 10CII-Best-Practices 0Code-Review 5Contributors 10Dangerous-Workflow 10Dependency-Update-Tool 0Fuzzing 0License 10Maintained 10Packaging 10Pinned-Dependencies 8SAST 0Security-Policy 10Signed-Releases -1Token-Permissions 0Vulnerabilities 0 -
Published packages Not linked
- PyPI mcp-server-appwrite Source link isn't a GitHub repo No build attestation
Without a build attestation, nothing proves the published files were built from this repository.
Changes to this chain
- 2026-08-27 OSSF Scorecard: 4.7/10
Evidence behind this score
Coverage B: 3 of 5 independent evidence types found.
- GitHub repository data
- Package downloads
- Supply-chain checks
- Public actions (missing)
- Community mentions (missing)
Verify this score yourself
Every build re-issues Appwrite MCP’s score as an Ed25519-signed credential, valid for 7 days. You can check it offline against HVTracker’s published key; if anyone changes a number after signing, verification fails.
What this score doesn’t check
It covers who ships the code, not what the code does. It doesn’t read tool descriptions or prompts for injected instructions, watch runtime behaviour, or find bugs nobody has disclosed yet. For that, run a content scanner before you connect it, such as Cisco MCP Scanner or Snyk Agent Scan.
How Appwrite MCP compares in MCP Servers
- #326 MCP Notion Server 63.9 +0.1
- #327 Red Hat Lightspeed MCP 63.8 ±0
- #328 Appwrite MCP 63.8 this agent
- #329 Paparats – Local Semantic Code Search MCP 63.5 −0.3
- #330 Apollo MCP Server 63.4 −0.4
Bars show each HVTrust score; the tick marks Appwrite MCP’s 63.8.
Where the 63.8 comes from
HVTrust dimensions vs the MCP Servers average
63.8 / 100 · 100.0% confidenceAppwrite MCP 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 C 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
64.6 / 100Common questions about Appwrite MCP
Does Appwrite MCP publish package provenance?
Does Appwrite MCP have an OpenSSF Scorecard?
Is Appwrite MCP actively maintained?
What license does Appwrite MCP use?
Are Appwrite MCP'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 →
- database
- MCP signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to Appwrite 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.
Maintain Appwrite MCP?
For maintainers
HVTrust scores Appwrite 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
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/appwrite-mcp)
<a href="https://hvtracker.net/agents/appwrite-mcp"><img src="https://hvtracker.net/badge/appwrite-mcp.svg" alt="HVTrust"></a>
Other agents in MCP Servers
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 v4.4 · Raw JSON