Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-18 09:30 UTC

n24q02m / better-telegram-mcp

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

PythonMIT★ 9 stars⑂ 3 forkssince Mar 2026View on GitHub ↗
KindMCP serverLibraryNetwork 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 83 out of 100, placing it in the Excellent band. It scores highest on Vitality (86/100) and lowest on Sustainability & Governance (52/100). It was last updated today. A single contributor accounts for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

Nguyen Quang MinhPersonal account
29 followers41 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-mcp4.17.04,1011240 days agoantigravityclaudecodexcopilotcursormcpmcp-servermodel-context-protocolopencodetelegramtelegram-apitelegram-bot

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

76Good
How it's scored
36/36Push recency — last push 0 days ago
12.5/36Commit cadence — 18/52 weeks with commits
18/18Commit volume — 704 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year704
human_commit_share—
days_since_last_push0
active_weeks_last_year18

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv4.17.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.9
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?

54Moderate · 17% of overall

Popularity & adoption

17Critical
How it's scored
14.6/60Stars — 9 stars
2.5/25Forks — 3 forks
0/15Watchers — 1 watchers
Inputs used
forks3
stars9
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 (MIT)
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_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

60Moderate
How it's scored
48.2/80Monthly downloads — 4,101 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesbetter-telegram-mcp
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,101
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?

52Moderate · 23% of overall

Maintainer resilience (bus factor)

17Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.8/22.5Commit distribution — top contributor authored 83% of commits
4.1/13.5Contributor breadth — 3 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.83

Issue & PR responsiveness

61Moderate
How it's scored
39.6/42Issue resolution — 94% of issues closed
13.1/30PR acceptance — 387/888 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_prs387
open_issues3
closed_issues50
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.943
closed_unmerged_prs501
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.

Ownership & stewardship

48Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
10.6/25Owner reach — 29 followers of n24q02m
18.1/25Track record — 41 public repos, account ~3 yr old
Inputs used
followers29
owner_typeUser
is_verified—
owner_loginn24q02m
public_repos41
account_age_days1,138
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 0 days ago
20/20Version history — 124 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesbetter-telegram-mcp
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 22 out of 22 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

65Good
How it's scored
30/30README
0/25Documentation 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_dirno
has_descriptionyes

Security

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

68Good · 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 — 22 out of 22 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 0/30 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 20 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
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
7.5/7.5Vulnerabilities — 0 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.

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.

77Good · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes7,005
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

98Exceptional
How it's scored
18/18One-command bootstrap — .mise.toml
22/22Automated tests
11/11Lint / format config
11/11Static type checking — tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_files.mise.toml
has_devcontainerno
has_linter_configyes
typecheck_configstsconfig.json
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (tsconfig.json)
55/55Manageable file sizes — 0/101 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes56,521
source_files_sampled101
oversized_source_files0

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

9GitHub stars
3contributors
704commits, last 12 months
0days since last push
100releases
1bus factor
3open issues
npm, PyPIpackage ecosystems

More detail

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 · 2026-07-18 09:30 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests22 out of 22 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 0/30 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 20 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
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
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 11
RegistryPackageVersion constraintManifest
PyPImcp>=1.28.1pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
PyPItelethon>=1.44.0pyproject.toml
PyPIpydantic>=2.13.4,<2.14pyproject.toml
PyPIpydantic-settings>=2.14.2pyproject.toml
PyPIloguru>=0.7.3pyproject.toml
PyPIn24q02m-mcp-core>=1.20.0b2,<2pyproject.toml
PyPIcryptography>=49.0.0pyproject.toml
PyPIstarlette>=1.3.1pyproject.toml
PyPIuvicorn>=0.50.0pyproject.toml
PyPIcryptg>=0.6.0pyproject.toml
All dependencies 264

Full resolved dependency set from the GitHub dependency graph: 11 direct and 253 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIpytest-timeout2.4.0indirect
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PyPIpython-multipart0.0.32indirect
PyPIpywin32312indirect
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PyPIpyyaml6.0.3indirect
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PyPIrich15.0.0indirect
PyPIrich-rst2.1.0indirect
PyPIrpds-py2026.6.3indirect
PyPIrsa4.9.1indirect
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PyPIshellingham1.5.4indirect
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PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuncalled-for0.3.2indirect
PyPIvirtualenv21.6.1indirect
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Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.12.0 — full methodology · metrics wiki.

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