Claude Context

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MCP Servers TypeScript Grade D Listed MIT
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Listing state
Listed
HVTrust
22.3/100 · Grade D
Evidence coverage
Grade D · 1/5 signals
Last push
2026-07-14 · 1d ago
Recent change
New

Is Claude Context safe? Claude Context scores 22.3/100 (Grade D), ranked #401 of 417 tracked open-source AI agent projects, on evidence coverage D (1 of 5 independent signal types). The public evidence: no package-provenance attestation found; no OSSF Scorecard result yet; 69% of recent commits are signed; last pushed 2026-07-14. Every point is earned from checkable signals — never paid placement. How scoring works →

Quick Trust Read

Verdict
Thin or incomplete trust evidence. Review carefully before production use.
22.3/100 · Grade D
Strongest Signal
Maintenance
13.3/20
Weakest Signal
Safety / Integrity
3.4/25
What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-07-14
Newly Listed
First tracked at rank #401
Maintainer Checklist
Add Scorecard coverage Expose the repository to OpenSSF Scorecard checks so supply-chain posture is easier to verify.
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
71.9
Activity Score · out of 100
22.3
HVTrust Score · out of 100
#401
Global Rank · of 417
#35

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade D reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage D is separate — it grades how many independent signal types back the score (1 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-07-15 01:30 UTC · Repo last pushed yesterday

Rank Trend

2026-07-14 2026-07-15

Activity & Reach

Stars
12.1k
Forks
901
Last Push
2026-07-14
yesterday
Commits (4 wk)
4?
Downloads (7d)
HN mentions (30d)
Open Issues
72
Rank Change
=
was #401

Analysis

HVTrust Dimensions

22.3 / 100 · 50.0% confidence
Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
3.4 / 25
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
Maintenance60% last-push freshness · 40% commit activity
13.3 / 20
Adoption60% stars · 40% downloads, log-scaled
9.8 / 20

Activity Inputs

71.9 / 100
StarsRepository reach
24.5 / 30
FreshnessLast push recency
24.9 / 25
ActivityRecent commits
8.7 / 25
CommunityFork signal
13.7 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
Not available
Signed Commits
69%
of last 100 commits verified

Is Claude Context safe?

Public trust evidence for Claude Context is thin: several supply-chain signals are missing or weak. This does not mean the project is unsafe — it means an outside observer cannot easily verify the usual integrity checks. Treat with extra scrutiny.
Does Claude Context publish package provenance?
No published build provenance is currently detected for Claude Context. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does Claude Context have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for Claude Context. Maintainers can enable the Scorecard GitHub Action to get a public score; without it, automated supply-chain hygiene is harder for outsiders to verify.
Is Claude Context actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does Claude Context use?
Claude Context ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Claude Context's commits signed?
69% of the last 100 commits to Claude Context 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.

Ranked neighbours in MCP Servers

AI agent 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
Claude Context appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
1 detected
Public provider/service dependencies detected.
Credential signal: API keys or service config markers documented.
Tool / Plugin Surface
high confidence
Marketplace
Marketplace plugin/integration surface detected.
  • code
  • filesystem
Detailed evidence is not shown in the public view.
Package Provenance Drift
N/A
No package source configured
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live

Maintain Claude Context?

HVTrust scores Claude Context 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

Listed 1
2026-07-14
Newly Listed
First tracked at rank #401

Embed Badge Badge guide for maintainers →

HVTrust 22.3 Grade D
Markdown:
[![HVTrust](https://hvtracker.net/badge/claude-context.svg)](https://hvtracker.net/agents/claude-context)
HTML:
<a href="https://hvtracker.net/agents/claude-context"><img src="https://hvtracker.net/badge/claude-context.svg" alt="HVTrust"></a>

Other agents in MCP Servers

Data sources
GitHub REST API (repo, commits, stars, forks, license)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.2 · Raw JSON