# microsoft-learn

> microsoft-learn is an officially published MCP server from Microsoft. Anomity scores its risk at 10 out of 100 (low).

- **Canonical URL:** https://catalog.anomity.ai/mcp/microsoft-learn
- **Kind:** MCP server
- **Publisher:** Microsoft
- **Trust level:** official
- **Risk score:** 10/100 (low)
- **Last updated:** 2026-11-01
- **JSON:** https://catalog.anomity.ai/api/entries/mcp/microsoft-learn

## Why it scored 10

The score starts at the catalog's neutral base of 50 and moves only through the signals below. The formula is published at https://catalog.anomity.ai/about — there is no model and no hidden heuristic.

| Signal | Contribution | Severity | Evidence |
| --- | --- | --- | --- |
| Published by the vendor | -40 | trust offset |  |

Clamped result: **10/100**, band **low**.

## Capabilities

| Capability | Name | Security implication |
| --- | --- | --- |
| `network:outbound` | Outbound network | Can make outbound network requests. Required for hosted model providers and remote APIs; also the path for data exfiltration if combined with read access. |

## Related MCP servers

- [desktop-commander](https://catalog.anomity.ai/mcp/desktop-commander) — risk 100 (critical)
- [airtable-community](https://catalog.anomity.ai/mcp/airtable-community) — risk 75 (high)
- [angular-cli](https://catalog.anomity.ai/mcp/angular-cli) — risk 75 (high)
- [browserbase](https://catalog.anomity.ai/mcp/browserbase) — risk 75 (high)
- [browserbase-server](https://catalog.anomity.ai/mcp/browserbase-server) — risk 75 (high)
- [couchbase](https://catalog.anomity.ai/mcp/couchbase) — risk 75 (high)

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Source: Anomity Security Database (https://catalog.anomity.ai/). Scoring methodology: https://catalog.anomity.ai/about. Machine-readable index: https://catalog.anomity.ai/llms.txt · https://catalog.anomity.ai/openapi.json
