Reversecore MCP
A security-first MCP server that empowers AI agents to perform automated reverse engineering, malware analysis, forensics, vulnerability research, and SAST — powered by Radare2, YARA, LIEF, Capstone, and more.
Is Reversecore MCP safe? Strong public trust posture, backed by multiple independent signals.
Compare Reversecore MCP
How does it stack up against its MCP Servers neighbours?
Pick any agent to compare →In detail: Reversecore MCP scores 83.6/100 (Grade A), ranked #105 of 1325 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 6.0/10; 96% of recent commits are signed; last pushed 2026-09-24. Every point is earned from checkable signals — never paid placement. How scoring works →
How Reversecore MCP compares in MCP Servers
- #40 PDF Reader MCP 83.7 +0.1
- #41 Better Email MCP 83.6 ±0
- #42 Reversecore MCP 83.6 this agent
- #43 Google Flights MCP (fli) 83.5 −0.1
- #44 Finopsmcp 83.4 −0.2
Bars show each HVTrust score; the tick marks Reversecore MCP’s 83.6.
Where the 83.6 comes from
HVTrust dimensions vs the MCP Servers average
83.6 / 100 · 100.0% confidenceReversecore MCP MCP Servers average (775 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 A 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
69.9 / 100Supply Chain Trust
Common questions about Reversecore MCP
Does Reversecore MCP publish package provenance?
Does Reversecore MCP have an OpenSSF Scorecard?
Is Reversecore MCP actively maintained?
What license does Reversecore MCP use?
Are Reversecore 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 →
- code
- database
- MCP signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to Reversecore 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 Reversecore MCP?
For maintainers
HVTrust scores Reversecore 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/reversecore-mcp)
<a href="https://hvtracker.net/agents/reversecore-mcp"><img src="https://hvtracker.net/badge/reversecore-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 v4.3 · Raw JSON