Status basis: npm_downloads_7d momentum fell to -27601 per 3d from 59599 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -27601 per 3d from 59599 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -28228 per 3d from 59599 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -38227 per 3d from 133645 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 59599 per 3d from 478884 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 59599 per 3d from 478884 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 133645 in the last 3d vs 7563 in the 3d before (ratio 17.7x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 133645 in the last 3d vs 7563 in the 3d before (ratio 17.7x, threshold 1.5x)
- Anomaly daily change 404838.0 is 11.2 standard deviations from this entity's own prior mean (-2.8±36247.9, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change -132425.0 is -4.2 standard deviations from this entity's own prior mean (2361.9±31916.2, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change -132425.0 is -4.2 standard deviations from this entity's own prior mean (2361.9±31916.2, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -18301 per 3d from 108342 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 108342 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 183997 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 183997 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 183997 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 183997 in the last 3d vs 99061 in the 3d before (ratio 1.9x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 192300 (<= 40% of the prior window)
- Anomaly daily change 99061.0 is 9.2 standard deviations from this entity's own prior mean (3078.1±10431.9, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 99061.0 is 9.2 standard deviations from this entity's own prior mean (3078.1±10431.9, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 192300 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 157928 in the last 3d vs 72360 in the 3d before (ratio 2.2x, threshold 1.5x)
- Anomaly daily change 99061.0 is 9.2 standard deviations from this entity's own prior mean (3078.1±10431.9, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 192300 in the last 3d vs 37988 in the 3d before (ratio 5.1x, threshold 1.5x)
- Anomaly daily change 99061.0 is 9.2 standard deviations from this entity's own prior mean (3078.1±10431.9, baseline excludes this point) — unusual, not necessarily adoption
| Machine-callable | — | unknown | — |
| Open source | 1 | inferred | 1 quote(s) |
| Self-hostable | 1 | inferred | 1 quote(s) |
| Bring your own key | — | unknown | — |
| Autonomy level | — | unknown | — |
| Pricing model | — | unknown | — |
| Integrations | mcp,hopper,ghidra | inferred | 2 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
Introducing MCP to binary reverse engineering provides AI agents with a structured way to analyze low-level code, marking a novel application in AI-driven security.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“npm install --global rea-agents && rea setup”— readme
“One CLI and MCP server for agents to reverse engineer anything”— readme
“One CLI and MCP server for agents to reverse engineer”— readme
“deep native analysis and function dossiers through Hopper”— readme
FAQ
What is A MCP?
An MCP protocol tailored for AI agents to automate the reverse engineering of binary code, helping security researchers and developers analyze binary logic.
What does A MCP do?
Enable AI agents to reverse engineer binary code using a standardized protocol.
Why does A MCP matter?
Introducing MCP to binary reverse engineering provides AI agents with a structured way to analyze low-level code, marking a novel application in AI-driven security.
Is A MCP open source?
Yes — A MCP is open source.
Can I self-host A MCP?
Yes — A MCP can be self-hosted.
What does A MCP integrate with?
mcp,hopper,ghidra
How popular is A MCP?
As tracked by KanonAgent: 3 upvotes (first indexed 2026-07-14).
What are the best A MCP alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, archify, open-design, deer-flow, ruflo, career-ops.