Microsoft Learn MCP
Website
Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microsoft docs & code samples.
Is Microsoft Learn MCP safe? Promising trust profile, but some evidence still deserves review.
Compare Microsoft Learn MCP
How does it stack up against its MCP Servers neighbours?
Pick any agent to compare →In detail: Microsoft Learn MCP scores 59.2/100 (Grade C), ranked #697 of 1378 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 6.5/10; 96% of recent commits are signed; last pushed 2026-10-14. Every point is earned from checkable signals — never paid placement. How scoring works →
How Microsoft Learn MCP could raise its score
Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.
- Raise the OSSF Scorecard from 6.5 to 9.0lowest checks: CII-Best-Practices 0, Fuzzing 0, Token-Permissions 0 +5.3 → 64.5 C · #297 of 781
Chain of custody
Scanners check what the code says. This traces who ships Microsoft Learn MCP and whether that has changed: from the source repository, through how changes are reviewed and released, to the code you run. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities.
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Source Signed
github.com/MicrosoftDocs/mcp, CC-BY-4.0, last pushed 2026-10-14. 96% of the last 100 commits carry a verified signature, so changes trace to a verified account.
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Review and release Mixed
OpenSSF Scorecard rates the repository's practices 6.5/10 (scanned Oct 13, 2026). The checks that decide who can get a change released:
- Code Review10
- Branch Protection5
- Signed Releasesn/a
- Dangerous Workflow10
- Token Permissions0
- Pinned Dependencies3
All 18 Scorecard checks
Binary-Artifacts 10Branch-Protection 5CI-Tests 9CII-Best-Practices 0Code-Review 10Contributors 3Dangerous-Workflow 10Dependency-Update-Tool 10Fuzzing 0License 10Maintained 10Packaging -1Pinned-Dependencies 3SAST 7Security-Policy 10Signed-Releases -1Token-Permissions 0Vulnerabilities 1 -
Published packages None
No registry package. Microsoft Learn MCP is used from its repository, so what you run is whatever you check out: pin a release tag or commit.
Changes to this chain
- 2026-09-02 OSSF Scorecard: 6.7/10
Evidence behind this score
Coverage C: 2 of 5 independent evidence types found.
- GitHub repository data
- Package downloads (missing)
- Supply-chain checks
- Public actions (missing)
- Community mentions (missing)
Verify this score yourself
Every build re-issues Microsoft Learn MCP’s score as an Ed25519-signed credential, valid for 7 days. You can check it offline against HVTracker’s published key; if anyone changes a number after signing, verification fails.
What this score doesn’t check
It covers who ships the code, not what the code does. It doesn’t read tool descriptions or prompts for injected instructions, watch runtime behaviour, or find bugs nobody has disclosed yet. For that, run a content scanner before you connect it, such as Cisco MCP Scanner or Snyk Agent Scan.
How Microsoft Learn MCP compares in MCP Servers
- #374 Map Traveler MCP 59.6 +0.4
- #375 Glade MCP 59.5 +0.3
- #376 Microsoft Learn MCP 59.2 this agent
- #377 Google Health MCP 59.0 −0.2
- #378 Pyslang MCP 59.0 −0.2
Bars show each HVTrust score; the tick marks Microsoft Learn MCP’s 59.2.
Where the 59.2 comes from
HVTrust dimensions vs the MCP Servers average
59.2 / 100 · 100.0% confidenceMicrosoft Learn MCP MCP Servers average (781 agents)
Quick Trust Read
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
Activity & Reach
Analysis
Activity Inputs
55.7 / 100Common questions about Microsoft Learn MCP
Does Microsoft Learn MCP publish package provenance?
Does Microsoft Learn MCP have an OpenSSF Scorecard?
Is Microsoft Learn MCP actively maintained?
What license does Microsoft Learn MCP use?
Are Microsoft Learn MCP's commits signed?
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
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 signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
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.
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.
Reputation Timeline
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/microsoft-learn-mcp)
<a href="https://hvtracker.net/agents/microsoft-learn-mcp"><img src="https://hvtracker.net/badge/microsoft-learn-mcp.svg" alt="HVTrust"></a>
Other agents in MCP Servers
GitHub REST API (repo, commits, stars, forks, license) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.4 · Raw JSON