Is Microsoft Learn MCP safe to use?

Microsoft Learn MCP has an HVTrust score of 64.4/100 (Grade C), ranked #490 of 1325 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for Microsoft Learn MCP?

Microsoft Learn MCP scores 64.4/100 on HVTracker's evidence-weighted HVTrust scale. It has 1.9k GitHub stars and is categorized under MCP Servers.

Microsoft Learn MCP

MicrosoftDocs/mcp

Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microsoft docs & code samples.

MCP Servers TypeScript Listed CC-BY-4.0

Is Microsoft Learn MCP safe? Promising trust profile, but some evidence still deserves review.

OSSF Scorecard 7.2 / 10

Provenance None

Signed commits 96%

Last push 16d ago

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In detail: Microsoft Learn MCP scores 64.4/100 (Grade C), ranked #490 of 1325 tracked open-source AI agent projects, on evidence coverage C (2 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 7.2/10; 96% of recent commits are signed; last pushed 2026-09-10. Every point is earned from checkable signals — never paid placement. How scoring works →

How Microsoft Learn MCP compares in MCP Servers

#282 Claude Faf MCP 64.5 +0.1
#283 Scout MCP Local 64.5 +0.1
#284 Microsoft Learn MCP 64.4 this agent
#285 BLS OEWS 64.4 ±0
#286 AntV Chart MCP Server 64.3 −0.1

Bars show each HVTrust score; the tick marks Microsoft Learn MCP’s 64.4.

Where the 64.4 comes from

HVTrust dimensions vs the MCP Servers average

64.4 / 100 · 100.0% confidence

Microsoft Learn MCP MCP Servers average (775 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits

13.8 / 25

3.5 above avg 10.3

Identity / Provenance60% listing status · 40% build provenance

10.8 / 18

2.6 below avg 13.4

Transparency50% declared license · 50% OSSF Scorecard

14.6 / 17

2.4 above avg 12.2

Maintenance60% last-push freshness · 40% commit activity

15.6 / 20

3.5 above avg 12.1

AdoptionLog-scaled stars · package downloads

7.9 / 20

0.7 above avg 7.2

Quick Trust Read

What Would Improve It

Publish package provenance or release attestations for stronger supply-chain evidence.

Recent Changes

2026-09-23

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependency: Anthropic

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

Maintainer Checklist

Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.

Compare with another agent Get email alerts for Microsoft Learn MCP View MCP Servers Report missing data

68.4

Activity sub-score · out of 100

#284

In MCP Servers

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade C reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage C is separate — it grades how many independent signal types back the score (2 of 5), so a high score on thin evidence stays visible. Full methodology →

Rank Trend

2026-08-11 2026-09-26

Activity & Reach

Stars

1.9k

Forks

259

Last Push

2026-09-10

16 days ago

Commits (4 wk)

Downloads (7d)

—

HN mentions (30d)

—

Open Issues

Rank Change

▼1

was #489

Analysis

Activity Inputs

68.4 / 100

StarsRepository reach

19.7 / 30

FreshnessLast push recency

22.8 / 25

ActivityRecent commits

14.7 / 25

CommunityFork signal

11.2 / 20

Supply Chain Trust

Package Provenance

None

No package attestations found

OSSF Scorecard

7.2 / 10

OpenSSF Scorecard · scanned Sep 24, 2026

Signed Commits

96%

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 5

CI-Tests 9

CII-Best-Practices 0

Code-Review 10

Contributors 3

Dangerous-Workflow 10

Dependency-Update-Tool 10

Fuzzing 0

License 10

Maintained 10

Packaging -1

Pinned-Dependencies 3

SAST 7

Security-Policy 10

Signed-Releases -1

Token-Permissions 0

Vulnerabilities 10

Common questions about Microsoft Learn MCP

Microsoft Learn MCP has a mixed signal profile. Some trust indicators are present, others are missing. Whether it is safe for your use case depends on which gaps matter to you — review the breakdown below before adopting in production.

Does Microsoft Learn MCP publish package provenance?

No published build provenance is currently detected for Microsoft Learn MCP. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.

Does Microsoft Learn MCP have an OpenSSF Scorecard?

Microsoft Learn MCP has an OpenSSF Scorecard score of 7.2/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.

Is Microsoft Learn MCP actively maintained?

Maintained. Last push was 16 days ago.

What license does Microsoft Learn MCP use?

Microsoft Learn MCP ships under CC-BY-4.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.

Are Microsoft Learn MCP's commits signed?

96% of the last 100 commits to Microsoft Learn MCP are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

AI agent surface

MCP, providers, tool surface

Scored in HVTrust

These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →

MCP Server Support

high confidence

Implemented

Microsoft Learn MCP appears to expose MCP server capabilities.

Detailed evidence is not shown in the public view.

External Service Dependencies

medium confidence

1 detected

Public provider/service dependencies detected.

Anthropic

Credential signal: No explicit API-key/config marker detected.

Tool / Plugin Surface

high confidence

Declared

Declared plugin/integration surface detected.

Detailed evidence is not shown in the public view.

Package Provenance Drift

N/A

No package source configured

Detailed evidence is not shown in the public view.

MCP signal live
External deps live
Tool / plugin surface live
Package provenance drift live

How this surface has changed

Detected changes to Microsoft Learn MCP's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.

2026-09-23

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependency: Anthropic

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

Maintain Microsoft Learn MCP?

For maintainers

HVTrust scores Microsoft Learn MCP from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Submit a correction → Add the trust badge

Reputation Timeline

Signal history

2026-09-23

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependency: Anthropic

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

2026-09-23

Grade Changed

Trust grade D → C

2026-09-23

Rank Moved

Rank dropped 122 spots (#358 → #480)

2026-09-23

HVTrust Changed

HVTrust up 14.9pts (49.7 → 64.6)

2026-09-22

Newly Listed

First tracked at rank #358

2026-09-21

Removed From Active Tracking

Removed from active tracking

2026-09-19

Grade Changed

Trust grade B → C

2026-09-11

Rank Moved

Rank dropped 14 spots (#422 → #436)

2026-09-10

Rank Moved

Rank rose 21 spots (#443 → #422)

2026-09-09

Rank Moved

Rank dropped 10 spots (#433 → #443)

2026-09-08

Rank Moved

Rank dropped 13 spots (#420 → #433)

2026-09-07

Rank Moved

Rank dropped 23 spots (#397 → #420)

2026-09-06

Rank Moved

Rank dropped 15 spots (#382 → #397)

2026-09-05

Grade Changed

Trust grade C → B

2026-09-05

Rank Moved

Rank dropped 42 spots (#340 → #382)

2026-09-04

Rank Moved

Rank rose 60 spots (#400 → #340)

2026-09-03

Rank Moved

Rank dropped 63 spots (#337 → #400)

2026-09-02

Scorecard Added

OSSF Scorecard: 6.7/10

2026-09-02

Grade Changed

Trust grade D → C

2026-09-02

Rank Moved

Rank rose 871 spots (#1208 → #337)

2026-09-02

HVTrust Changed

HVTrust up 40.8pts (23.0 → 63.8)

2026-09-02

Activity Score Changed

Activity score up 15pts (53 → 68)

2026-09-01

Rank Moved

Rank dropped 34 spots (#1174 → #1208)

2026-08-31

Rank Moved

Rank dropped 32 spots (#1142 → #1174)

2026-08-30

Rank Moved

Rank dropped 39 spots (#1103 → #1142)

2026-08-29

Rank Moved

Rank dropped 40 spots (#1063 → #1103)

2026-08-28

Rank Moved

Rank dropped 28 spots (#1035 → #1063)

2026-08-27

Rank Moved

Rank dropped 26 spots (#1009 → #1035)

2026-08-26

Rank Moved

Rank dropped 94 spots (#915 → #1009)

2026-08-24

Rank Moved

Rank dropped 14 spots (#903 → #917)

2026-08-22

Rank Moved

Rank rose 13 spots (#915 → #902)

2026-08-19

Rank Moved

Rank dropped 13 spots (#899 → #912)

2026-08-16

Rank Moved

Rank dropped 26 spots (#880 → #906)

2026-08-10

Rank Moved

Rank dropped 49 spots (#832 → #881)

2026-08-08

Newly Listed

First tracked at rank #825

GitHub →

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Other agents in MCP Servers

Data sources
GitHub REST API (repo, commits, stars, forks, license) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON