Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 04:25 UTC

gautamvarmadatla / mcpsafetywarden

MCP servers expose tools with no information about what they actually do at runtime. mcpsafetywarden sits between your agent and any MCP server, profiling tool behavior, blocking destructive calls, and running active security audits before you trust them in a workflow.

PythonCustom license★ 8 stars⑂ 2 forkssince Apr 2026View on GitHub ↗
KindCommand-line toolMCP serverLibraryNetwork serviceWeb interfacehow this is determined
#agent-security#ai-safety#ai-security#behavior-analysis#credential-protection#drift-detection#llm-security#mcp#mcp-server#model-context-protocol#model-context-protocol-servers#prompt-injection#proxy#python#security#security-scanner#static-analysis#supply-chain-security#vulnerability-scanning

gautamvarmadatla/mcpsafetywarden holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Engineering Quality (82/100) and lowest on Community & Adoption (40/100). It was last updated 34 days ago. A single contributor accounts for most of its recent work.

75
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.

75
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 65 is calibrated to 75 on the published index scale (record calibration 2026-08-02).

Ownership

GAUTAM V DATLAPersonal account
6 followers60 public repossince Jun 2021Strategic Education Inc

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImcpsafetywarden1.4.185588134 days agomcpmodel-context-protocolsecurityproxyllmai-safetyprompt-injectionbehavioral-analysis

Metrics by category

Vitality

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

76Good · 21% of overall

Development activity

67Good
How it's scored
18/36Push recency — last push 34 days ago
20.8/36Commit cadence — 30/52 weeks with commits
18/18Commit volume — 388 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year388
human_commit_share0.88
days_since_last_push34
active_weeks_last_year30

Release discipline

89Excellent
How it's scored
27/27Ships releases — 13 releases published
27/36Release recency — latest release 92 days ago
27/27Release cadence — a release every ~4.7 days
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count13
latest_release_tagv1.3.4
releases_from_tagsno
days_since_latest_release92
mean_days_between_releases4.7

Community & Adoption

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

40Weak · 17% of overall

Popularity & adoption

14Critical
How it's scored
13.7/60Stars — 8 stars
0/25Forks — 2 forks
0/15Watchers — 2 watchers
Inputs used
forks2
stars8
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

64Moderate
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges10
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io, www.bestpractices.dev
has_pull_request_templateno

Ecosystem adoption (downloads)

46Weak
How it's scored
36.6/80Monthly downloads — 558 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmcpsafetywarden
dependents—
ecosystemspypi
total_downloads—
monthly_downloads558
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

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

55Moderate · 23% of overall

Maintainer resilience (bus factor)

13Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

73Good
How it's scored
36.4/42Issue resolution — 87% of issues closed
26.9/30PR acceptance — 26/29 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs26
open_issues2
closed_issues13
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.867
closed_unmerged_prs3
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

50Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
6.1/25Owner reach — 6 followers of gautamvarmadatla
23.5/25Track record — 60 public repos, account ~5 yr old
Inputs used
followers6
owner_typeUser
is_verified—
owner_logingautamvarmadatla
public_repos60
account_age_days1,916
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 34 days ago
20/20Version history — 81 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmcpsafetywarden
ecosystemspypi
any_deprecatedno
min_days_since_publish34

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

80Excellent
How it's scored
24/24CI workflows — 17 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 19 topics
10/10Wiki
Inputs used
topicsagent-security, ai-safety, ai-security, behavior-analysis, credential-protection, drift-detection, llm-security, mcp, mcp-server, model-context-protocol, model-context-protocol-servers, prompt-injection, proxy, python, security, security-scanner, static-analysis, supply-chain-security, vulnerability-scanning
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?

77Good · 16% of overall

Security posture

71Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0/2.5CI-Tests — no data
1.2/2.5CII-Best-Practices — badge detected: Passing
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
5/5SAST — SAST tool detected: CodeQL
5/5Security-Policy — security policy file detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 15 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.1
Excluded from scoring (no data or not applicable): CI-Tests. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages38
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:mcpsafetywarden@1.4.18 runtime dependency closure — what installing the published package pulls in — 38 packages. 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.

52Moderate · 4% of overall

Agent context & guidance

10Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
10.3/40Legible commit history — 17 of 88 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.193
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

69Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — dashboard/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 12 of the last 100 commits are automated dependency updates
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsdashboard/tsconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.12

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (dashboard/tsconfig.json)
53.6/55Manageable file sizes — 2/80 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes844,601
source_files_sampled80
oversized_source_files2

Machine-readable interfaces

60Moderate
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalyes
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

8GitHub stars
1contributors
388commits, last 12 months
34days since last push
13releases
1bus factor
2open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 2 ⇿
0Stars
2Forks
13Releases

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.

111222212026-042026-072026-09
Major 0Minor 1Patch 12
OpenSSF Scorecard 7.1 / 10
7.1aggregate

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 · 2026-09-15 04:25 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
n/aCI-Testsno pull request found
5CII-Best-Practicesbadge detected: Passing
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
10SASTSAST tool detected: CodeQL
10Security-Policysecurity policy file detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities15 existing vulnerabilities detected
Direct dependencies 28
RegistryPackageVersion constraintManifest
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PyPIfastapi>=0.111.0pyproject.toml
All dependencies 262

Full resolved dependency set from the GitHub dependency graph: 29 direct and 233 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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npmpath-parse1.0.7indirect
npmpicocolors1.1.1indirect
npmpicomatch2.3.2indirect
npmpicomatch4.0.4indirect
npmpify2.3.0indirect
npmpirates4.0.7indirect
npmpostcss8.5.13indirect
npmpostcss-import15.1.0indirect
npmpostcss-js4.1.0indirect
npmpostcss-load-config6.0.1indirect
npmpostcss-nested6.2.0indirect
npmpostcss-selector-parser6.1.2indirect
npmpostcss-value-parser4.2.0indirect
npmprop-types15.8.1indirect
npmqueue-microtask1.2.3indirect
npmreact-is16.13.1indirect
npmreact-is18.3.1indirect
npmreact-refresh0.17.0indirect
npmreact-remove-scroll2.7.2indirect
npmreact-remove-scroll-bar2.3.8indirect
npmreact-router6.30.3indirect
npmreact-smooth4.0.4indirect
npmreact-style-singleton2.2.3indirect
npmreact-transition-group4.4.5indirect
npmread-cache1.0.0indirect
npmreaddirp3.6.0indirect
npmrecharts-scale0.4.5indirect
npmresolve1.22.12indirect
npmreusify1.1.0indirect
npmrollup4.60.2indirect
npmrun-parallel1.2.0indirect
npmscheduler0.23.2indirect
npmsemver6.3.1indirect
npmsource-map-js1.2.1indirect
npmsucrase3.35.1indirect
npmsupports-preserve-symlinks-flag1.0.0indirect
npmtailwindcss3.4.19indirect
npmthenify3.3.1indirect
npmthenify-all1.6.0indirect
npmtiny-invariant1.3.3indirect
npmtinyglobby0.2.16indirect
npmto-regex-range5.0.1indirect
npmts-interface-checker0.1.13indirect
npmtslib2.8.1indirect
npmtypescript5.9.3indirect
npmupdate-browserslist-db1.2.3indirect
npmuse-callback-ref1.3.3indirect
npmuse-sidecar1.1.3indirect
npmuse-sync-external-store1.6.0indirect
npmutil-deprecate1.0.2indirect
npmvictory-vendor36.9.2indirect
npmvite6.4.2indirect
npmyallist3.1.1indirect
npmzustand4.5.7indirect
PyPIanthropic—indirect
PyPIarxiv—indirect
PyPIbandit—indirect
PyPIcisco-ai-mcp-scanner—indirect
PyPIcryptography—indirect
PyPIduckduckgo-search—indirect
PyPIgoogle-genai—indirect
PyPIopenai—indirect
PyPIsemgrep—indirect
PyPIsetuptools—indirect
PyPIsnyk-agent-scan—indirect
Dependency advisories 0

Installing pypi:mcpsafetywarden@1.4.18 pulls in 38 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

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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99IBM/mcp-context-forgeAn AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.Exceptional98modelcontextprotocol/python-sdkThe official Python SDK for Model Context Protocol servers and clientsExceptional100stacklok/toolhiveToolHive is an enterprise-grade platform for running and managing Model Context Protocol (MCP) servers.Exceptional100deepset-ai/haystackOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.Exceptional98intuitem/ciso-assistant-communityCISO Assistant is a one-stop-shop GRC platform for Risk Management, AppSec, Compliance & Audit, TPRM, BIA, Privacy, and Reporting. It supports 200+ global frameworks with automatic control mapping, including ISO 27001, NIST CSF, SOC 2, CIS, PCI DSS, NIS2, DORA, GDPR, HIPAA, CMMC, and more.Exceptional98ComposioHQ/composioComposio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.Exceptional

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 v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.