Claude Context
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
Is Claude Context safe? Thin or incomplete trust evidence. Review carefully before production use.
Compare Claude Context
How does it stack up against its MCP Servers neighbours?
Pick any agent to compare →In detail: Claude Context scores 43.4/100 (Grade D), ranked #1142 of 1371 tracked open-source AI agent projects, on evidence coverage C (2 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 2.4/10; 69% of recent commits are signed; last pushed 2026-07-14. Every point is earned from checkable signals — never paid placement. How scoring works →
How Claude Context 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 2.4 to 9.0lowest checks: Branch-Protection 0, CII-Best-Practices 0, Dependency-Update-Tool 0 +13.8 → 57.2 C · #404 of 781
- Sign every commit69% signed today +1.5 → 44.9 D · #642 of 781
Chain of custody
Scanners check what the code says. This traces who ships Claude Context and whether that has changed: from the source repository, through how changes are reviewed and released, to the code you run. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities.
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Source Partly signed
github.com/zilliztech/claude-context, MIT, last pushed 2026-07-14. 69% of the last 100 commits carry a verified signature; the rest can't be tied to a verified identity.
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Review and release Weak
OpenSSF Scorecard rates the repository's practices 2.4/10 (scanned Oct 12, 2026). The checks that decide who can get a change released:
- Code Review7
- Branch Protection0
- Signed Releasesn/a
- Dangerous Workflow10
- Token Permissions0
- Pinned Dependencies0
All 18 Scorecard checks
Binary-Artifacts 1Branch-Protection 0CI-Tests 6CII-Best-Practices 0Code-Review 7Contributors 10Dangerous-Workflow 10Dependency-Update-Tool 0Fuzzing 0License 10Maintained 0Packaging -1Pinned-Dependencies 0SAST 0Security-Policy 0Signed-Releases -1Token-Permissions 0Vulnerabilities 0 -
Published packages None
No registry package. Claude Context is used from its repository, so what you run is whatever you check out: pin a release tag or commit.
Changes to this chain
No change to package provenance, package source links, Scorecard coverage or license in HVTracker's daily snapshots of Claude Context.
Evidence behind this score
Coverage C: 2 of 5 independent evidence types found.
- GitHub repository data
- Package downloads (missing)
- Supply-chain checks
- Public actions (missing)
- Community mentions (missing)
Verify this score yourself
Every build re-issues Claude Context’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 Claude Context compares in MCP Servers
- #657 GitMCP 43.4 ±0
- #658 Himalayas Remote Jobs 43.4 ±0
- #659 Claude Context 43.4 this agent
- #660 Apple Docs MCP 43.3 −0.1
- #661 Deployhq MCP Server 43.0 −0.4
Bars show each HVTrust score; the tick marks Claude Context’s 43.4.
Where the 43.4 comes from
HVTrust dimensions vs the MCP Servers average
43.4 / 100 · 100.0% confidenceClaude Context MCP Servers average (781 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 D reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage C is separate — it grades how many independent signal types back the score (2 of 5), so a high score on thin evidence stays visible. Full methodology →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
50.9 / 100Common questions about Claude Context
Does Claude Context publish package provenance?
Does Claude Context have an OpenSSF Scorecard?
Is Claude Context actively maintained?
What license does Claude Context use?
Are Claude Context'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 →
- code
- filesystem
- MCP signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to Claude Context'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 Claude Context?
For maintainers
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
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/claude-context)
<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
GitHub REST API (repo, commits, stars, forks, license) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.4 · Raw JSON