Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 20:05 UTC

n24q02m / better-telegram-mcp

Telegram for AI agents -- messages, chats, media, and contacts across both bot and full user-account modes.

PythonApache-2.0★ 11 stars⑂ 5 forkssince Mar 2026View on GitHub ↗
KindCommand-line toolMCP serverNetwork servicehow this is determined
#claude#claude-code#cursor#docker#mcp#mcp-server#model-context-protocol#open-source#telegram#ai-agents#ai-coding#python#telegram-bot#telethon

n24q02m/better-telegram-mcp holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Sustainability & Governance (51/100). It was last updated today. A single contributor accounts for most of its recent work.

87
overall / 100
Excellent

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.

87
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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

Nguyen Quang MinhPersonal account
36 followers46 public repossince Jun 2023

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
PyPIbetter-telegram-mcp4.19.02,26313310 days agoantigravityclaudecodexcopilotcursormcpmcp-servermodel-context-protocolopencodetelegramtelegram-apitelegram-bot

Metrics by category

Vitality

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

89Excellent · 21% of overall

Development activity

81Excellent
How it's scored
36/36Push recency — last push 0 days ago
16.6/36Commit cadence — 24/52 weeks with commits
18/18Commit volume — 788 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year788
human_commit_share0.61
days_since_last_push0
active_weeks_last_year24

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 10 days ago
27/27Release cadence — a release every ~4.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv4.19.0
releases_from_tagsno
days_since_latest_release10
mean_days_between_releases4.9
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

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

55Moderate · 17% of overall

Popularity & adoption

21At Risk
How it's scored
16.2/60Stars — 11 stars
5/25Forks — 5 forks
0/15Watchers — 1 watchers
Inputs used
forks5
stars11
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges10
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

56Moderate
How it's scored
44.7/80Monthly downloads — 2,263 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesbetter-telegram-mcp
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,263
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?

51Moderate · 23% of overall

Maintainer resilience (bus factor)

10Critical
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
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

63Moderate
How it's scored
41.3/42Issue resolution — 98% of issues closed
13.5/30PR acceptance — 462/1,026 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/27 approved changesets -- score normalized to 0
Inputs used
merged_prs462
open_issues1
closed_issues57
prs_merged_7d3
prs_decided_7d10
prs_merged_30d6
prs_decided_30d28
issue_closed_ratio0.983
closed_unmerged_prs564
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
11.3/25Owner reach — 36 followers of n24q02m
18.7/25Track record — 46 public repos, account ~3 yr old
Inputs used
followers36
owner_typeUser
is_verified—
owner_loginn24q02m
public_repos46
account_age_days1,193
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 10 days ago
20/20Version history — 133 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesbetter-telegram-mcp
ecosystemspypi
any_deprecatedno
min_days_since_publish10

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 28 out of 28 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://mcp.n24q02m.com/servers/better-telegram-mcp/
10/10Repository description
10/10Topics — 14 topics
0/10Wiki
Inputs used
topicsclaude, claude-code, cursor, docker, mcp, mcp-server, model-context-protocol, open-source, telegram, ai-agents, ai-coding, python, telegram-bot, telethon
has_wikino
homepagehttps://mcp.n24q02m.com/servers/better-telegram-mcp/
docs_sitehttps://mcp.n24q02m.com/servers/better-telegram-mcp/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

74Good · 16% of overall

Security posture

68Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 28 out of 28 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/27 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.8
Excluded from scoring (no data or not applicable): Signed-Releases. 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_packages78
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:better-telegram-mcp@4.19.0 runtime dependency closure — what installing the published package pulls in — 78 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.

85Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://mcp.n24q02m.com/llms.txt)
40/40Legible commit history — 61 of 61 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://mcp.n24q02m.com/llms.txt
legible_history_share1
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes7,256

Verify loop (build / test / typecheck)

100Exceptional
How it's scored
18/18One-command bootstrap — .mise.toml
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 11 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 39 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, pnpm-lock.yaml, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_files.mise.toml
has_devcontainerno
has_linter_configyes
typecheck_configstsconfig.json
agent_commit_share0.11
toolchain_manifests—
dependency_bot_commit_share0.39

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (tsconfig.json)
54.5/55Manageable file sizes — 1/106 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes61,528
source_files_sampled106
oversized_source_files1

Machine-readable interfaces

20At Risk
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalyes
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

11GitHub stars
1contributors
788commits, last 12 months
0days since last push
100releases
1bus factor
1open 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 ★ / 5 ⇿
0Stars
5Forks
97Releases

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.

12345512026-042026-062026-08
Major 0Minor 13Patch 28
OpenSSF Scorecard 6.8 / 10
6.8aggregate

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 · 2026-09-10 20:05 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests28 out of 28 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/27 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 5 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 11
RegistryPackageVersion constraintManifest
PyPImcp>=1.28.1,<1.29pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
PyPItelethon>=1.44.0pyproject.toml
PyPIpydantic>=2.13.5,<2.14pyproject.toml
PyPIpydantic-settings>=2.14.2,<2.15pyproject.toml
PyPIloguru>=0.7.3pyproject.toml
PyPIn24q02m-mcp-core==1.23.2pyproject.toml
PyPIcryptography>=50.0.1pyproject.toml
PyPIstarlette>=1.6.0pyproject.toml
PyPIuvicorn>=0.52.4pyproject.toml
PyPIcryptg>=0.6.0pyproject.toml
All dependencies 316

Full resolved dependency set from the GitHub dependency graph: 11 direct and 305 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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npmlightningcss-linux-x64-musl1.33.0indirect
npmlightningcss-win32-arm64-msvc1.33.0indirect
npmlightningcss-win32-x64-msvc1.33.0indirect
npmmagic-string0.30.21indirect
npmmagic-string1.2.3indirect
npmminiflare5.20260831.0-alphaindirect
npmminiflare5.20260908.0-alphaindirect
npmnanoid3.3.18indirect
npmobug2.1.4indirect
npmobug2.2.1indirect
npmpath-to-regexp6.3.0indirect
npmpathe2.0.3indirect
npmpicocolors1.1.1indirect
npmpicomatch4.0.7indirect
npmpostcss8.5.26indirect
npmpostcss8.5.28indirect
npmrolldown1.2.7indirect
npmrolldown1.2.8indirect
npmsemver7.8.5indirect
npmsharp0.35.2indirect
npmsiginfo2.0.0indirect
npmsource-map-js1.2.1indirect
npmstackback0.0.2indirect
npmstd-env4.2.0indirect
npmsupports-color10.2.2indirect
npmtinybench2.9.0indirect
npmtinybench6.1.4indirect
npmtinyexec1.3.0indirect
npmtinyglobby0.2.17indirect
npmtinyrainbow3.1.1indirect
npmtslib2.8.1indirect
npmtypescript7.0.2indirect
npmundici7.29.0indirect
npmunenv2.0.0-rc.24indirect
npmvite8.2.2indirect
npmvitest4.1.11indirect
npmvitest5.0.0indirect
npmwhy-is-node-running2.3.0indirect
npmworkerd1.20260831.1indirect
npmworkerd1.20260908.1indirect
npmwrangler4.128.0indirect
npmwrangler4.130.0indirect
npmws8.21.0indirect
npmyouch4.1.0-beta.10indirect
npmyouch-core0.3.3indirect
PyPIaiofile3.12.3indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.8.0indirect
PyPIbeartype0.22.9indirect
PyPIbetter-telegram-mcp4.19.0indirect
PyPIcachetools7.1.8indirect
PyPIcaio0.12.4indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcfgv3.5.0indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.16.0indirect
PyPIcyclopts4.25.2indirect
PyPIdistlib0.4.3indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfastmcp3.4.7indirect
PyPIfastmcp-slim3.4.7indirect
PyPIfilelock3.32.6indirect
PyPIgriffelib2.3.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx-sse0.4.3indirect
PyPIidentify2.6.19indirect
PyPIidna3.19indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjeepney0.9.0indirect
PyPIjoserfc1.7.5indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.5.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPInodeenv1.10.0indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopentelemetry-api1.44.0indirect
PyPIpackaging26.3indirect
PyPIpathable0.6.0indirect
PyPIplatformdirs4.11.8indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIpy-key-value-aio0.4.5indirect
PyPIpyaes1.6.1indirect
PyPIpyasn10.6.4indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.5indirect
PyPIpygments2.21.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyperclip1.11.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-discovery1.6.0indirect
PyPIpython-dotenv1.2.3indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreferencing0.37.0indirect
PyPIrich15.0.0indirect
PyPIrich-rst2.1.0indirect
PyPIrpds-py2026.6.3indirect
PyPIrsa4.9.1indirect
PyPIruff0.16.6indirect
PyPIsecretstorage3.5.0indirect
PyPIshellingham1.5.4indirect
PyPIsse-starlette3.4.11indirect
PyPItomli-w1.2.0indirect
PyPIty0.0.79indirect
PyPItyper0.27.2indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIuncalled-for0.4.0indirect
PyPIvirtualenv21.7.9indirect
PyPIwatchfiles1.2.0indirect
PyPIwebsockets17.1indirect
PyPIwin32-setctime1.2.0indirect
Dependency advisories 0

Installing pypi:better-telegram-mcp@4.19.0 pulls in 78 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.

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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 v0.34.0 — full methodology · metrics wiki.

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