Public record
Software health reportschema 0.26.0 · metrics 2.10.0 · 2026-07-21 23:19 UTC

sjkim1127 / 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.

PythonMIT★ 181 stars⑂ 18 forkssince Nov 2025View on GitHub ↗
KindMCP serverLibraryNetwork servicehow this is determined

sjkim1127/Reversecore_MCP holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Engineering Quality (86/100) and lowest on Sustainability & Governance (50/100). It was last updated today. A single contributor accounts for most of its recent work.

77
overall / 100
Good

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

77
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02).

Ownership

atariboyPersonal account
52 followers9 public repossince Sep 2024

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

83Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
15.2/36Commit cadence22/52 weeks with commits
18/18Commit volume743 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year743
human_commit_share0.84
days_since_last_push0
active_weeks_last_year22
How it's scored
27/27Ships releases45 releases published
36/36Release recencylatest release 8 days ago
27/27Release cadencea release every ~22.9 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count45
latest_release_tagv3.0.2
releases_from_tagsno
days_since_latest_release8
mean_days_between_releases22.9

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

51Moderate · 17% of overall
How it's scored
36.6/60Stars181 stars
10.3/25Forks18 forks
3.9/15Watchers6 watchers
Inputs used
forks18
stars181
watchers6
growth_stateorganic
growth_factor_pct100
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

50Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.1/22.5Commit distributiontop contributor authored 100% of commits
4.1/13.5Contributor breadth3 contributors
0/10OpenSSF Scorecard: Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.997
How it's scored
42/42Issue resolution100% of issues closed
25.1/30PR acceptance122/146 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/25 approved changesets -- score normalized to 0
Inputs used
merged_prs122
open_issues0
closed_issues4
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio1
closed_unmerged_prs24
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
12.4/25Owner reach52 followers of sjkim1127
10.9/25Track record9 public repos, account ~1 yr old
Inputs used
followers52
owner_typeUser
is_verified
owner_loginsjkim1127
public_repos9
account_age_days662
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 8 days ago
4/20Version history1 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesreversecore-mcp
ecosystemspypi
any_deprecatedno
min_days_since_publish8

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows5 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests3 out of 5 merged PRs checked by a CI test -- score normalized to 6
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics8 topics
10/10Wiki
Inputs used
topicsmcp-server, reverse-engineering, mcp, ghidra, radare2, security, mcp-security, sast
has_wikiyes
homepage
docs_site
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

58Moderate · 16% of overall
How it's scored
0/7.5Binary-Artifactsbinaries present in source code
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
1.5/2.5CI-Tests3 out of 5 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/25 approved changesets -- score normalized to 0
0/2.5Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
5/5SASTSAST tool detected
2/5Security-Policysecurity policy file detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
6/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
3/7.5Vulnerabilities6 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4.8

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories6
affected_packages2
assessed_packages249
unassessed_packages63
affected_by_severityhigh 2
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 249 resolved dependencies against OSV. 63 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

72Good · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history79 of 84 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.94
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes10,827
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
11/11Static type checkingreversecore_mcp/py.typed
10/10Reproducible environmentDockerfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance14 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configsreversecore_mcp/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.14
How it's scored
27/45Type-checkable codePython with type-check config (reversecore_mcp/py.typed)
54.8/55Manageable file sizes1/284 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes129,812
source_files_sampled284
oversized_source_files1
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examplessamples
Inputs used
example_dirssamples
has_mcp_signalyes
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

181GitHub stars
3contributors
743commits, last 12 months
0days since last push
45releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • deps.dev does not index pypi:reversecore-mcp@3.0.2; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 181 ★ / 18 ⇿
181Stars
18Forks
36Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

0408012016020018118442025-112026-032026-07
Major 2Minor 4Patch 30
OpenSSF Scorecard 4.8 / 10
4.8aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-07-21 23:18 UTC

0Binary-Artifactsbinaries present in source code
0Branch-Protectionbranch protection not enabled on development/release branches
6CI-Tests3 out of 5 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/25 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool detected
4Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
8Token-Permissionsdetected GitHub workflow tokens with excessive permissions
4Vulnerabilities6 existing vulnerabilities detected
Direct dependencies 27
RegistryPackageVersion constraintManifest
PyPImcp>=1.27.0pyproject.toml
PyPIfastmcp==3.4.4pyproject.toml
PyPIfastapi>=0.100.0pyproject.toml
PyPIuvicorn>=0.30.0pyproject.toml
PyPIpython-multipart>=0.0.27pyproject.toml
PyPIaiofiles>=24.0.0pyproject.toml
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PyPIjinja2>=3.1.0pyproject.toml
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PyPIaiosmtplib>=5.1.0pyproject.toml
PyPIpython-dotenv>=1.2.2pyproject.toml
PyPIarq>=0.25.0pyproject.toml
PyPIredis>=5.0.0pyproject.toml
PyPIpillow>=12.3.0,<13pyproject.toml
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PyPIpyxdia<=0.1.0pyproject.toml
PyPIpwntools>=4.12.0pyproject.toml
PyPIROPgadget>=7.3pyproject.toml
All dependencies 312

Full resolved dependency set from the GitHub dependency graph: 53 direct and 259 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPItyping-inspection0.4.2indirect
PyPItzlocal5.4.3indirect
PyPIuefi-firmware1.16indirect
PyPIuncalled-for0.3.2indirect
PyPIunicorn2.1.2indirect
PyPIunix-ar0.2.1indirect
PyPIuritools6.1.2indirect
PyPIurllib32.7.0indirect
PyPIviv-utils0.8.1indirect
PyPIvivisect1.3.2indirect
PyPIvolatility3indirect
PyPIvolatility32.28.0indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebencodings0.5.1indirect
PyPIwebsockets16.1indirect
PyPIwheel0.47.0indirect
PyPIwrapt2.2.2indirect
PyPIxmltodict1.0.4indirect
PyPIyara-pythonindirect
PyPIyara-python4.5.4indirect
PyPIz3-solver4.13.0.0indirect
PyPIzipp4.1.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 2

This repository publishes no package the index resolves, so its own dependency graph was assessed — 249 packages, which also include development and test pins that never ship: 2 carry known advisories, of which 0 are direct. 63 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
gitpython3.1.50indirecthigh43.1.52
pyasn10.6.3indirecthigh20.6.4

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

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Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.26.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.