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Microsoft Code Reference

面向 Azure SDK、.NET 库和微软 API 的参考查询能力:通过 Microsoft Learn 的 MCP 检索工具或 mslearn CLI 查找方法、参数与包名,比对官方可运行示例,用于识别不存在的方法、错误签名与已弃用写法。

tianqizhang
tianqizhang
热度 89.36
最近更新 2026-05-11 16:51:55
分类:开发依赖:MCP 服务 / 第三方 API / 代码执行应用场景:代码生成 / 代码审查 / 调试排错 / API 集成

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add microsoft-code-reference
Metadata
name
microsoft-code-reference
description
Look up Microsoft API references, find working code samples, and verify SDK code is correct. Use when working with Azure SDKs, .NET libraries, or Microsoft APIs—to find the right method, check parameters, get working examples, or troubleshoot errors. Catches hallucinated methods, wrong signatures, and deprecated patterns by querying official docs.
context
fork
compatibility
Works best with Microsoft Learn MCP Server (https://learn.microsoft.com/api/mcp). Can also use the mslearn CLI as a fallback.

Microsoft Code Reference

Tools

Need Tool Example
API method/class lookup microsoft_docs_search "BlobClient UploadAsync Azure.Storage.Blobs"
Working code sample microsoft_code_sample_search query: "upload blob managed identity", language: "python"
Full API reference microsoft_docs_fetch Fetch URL from microsoft_docs_search (for overloads, full signatures)

Finding Code Samples

Use microsoft_code_sample_search to get official, working examples:

microsoft_code_sample_search(query: "upload file to blob storage", language: "csharp")
microsoft_code_sample_search(query: "authenticate with managed identity", language: "python")
microsoft_code_sample_search(query: "send message service bus", language: "javascript")

When to use:

  • Before writing code—find a working pattern to follow
  • After errors—compare your code against a known-good sample
  • Unsure of initialization/setup—samples show complete context

API Lookups

# Verify method exists (include namespace for precision)
"BlobClient UploadAsync Azure.Storage.Blobs"
"GraphServiceClient Users Microsoft.Graph"

# Find class/interface
"DefaultAzureCredential class Azure.Identity"

# Find correct package
"Azure Blob Storage NuGet package"
"azure-storage-blob pip package"

Fetch full page when method has multiple overloads or you need complete parameter details.

Error Troubleshooting

Use microsoft_code_sample_search to find working code samples and compare with your implementation. For specific errors, use microsoft_docs_search and microsoft_docs_fetch:

Error Type Query
Method not found "[ClassName] methods [Namespace]"
Type not found "[TypeName] NuGet package namespace"
Wrong signature "[ClassName] [MethodName] overloads" → fetch full page
Deprecated warning "[OldType] migration v12"
Auth failure "DefaultAzureCredential troubleshooting"
403 Forbidden "[ServiceName] RBAC permissions"

When to Verify

Always verify when:

  • Method name seems "too convenient" (UploadFile vs actual Upload)
  • Mixing SDK versions (v11 CloudBlobClient vs v12 BlobServiceClient)
  • Package name doesn't follow conventions (Azure.* for .NET, azure-* for Python)
  • Using an API for the first time

Validation Workflow

Before generating code using Microsoft SDKs, verify it's correct:

  1. Confirm method or package exists — microsoft_docs_search(query: "[ClassName] [MethodName] [Namespace]")
  2. Fetch full details (for overloads/complex params) — microsoft_docs_fetch(url: "...")
  3. Find working sample — microsoft_code_sample_search(query: "[task]", language: "[lang]")

For simple lookups, step 1 alone may suffice. For complex API usage, complete all three steps.

CLI Alternative

If the Learn MCP server is not available, use the mslearn CLI from the command line instead:

# Run directly (no install needed)
npx @microsoft/learn-cli search "BlobClient UploadAsync Azure.Storage.Blobs"

# Or install globally, then run
npm install -g @microsoft/learn-cli
mslearn search "BlobClient UploadAsync Azure.Storage.Blobs"
MCP Tool CLI Command
microsoft_docs_search(query: "...") mslearn search "..."
microsoft_code_sample_search(query: "...", language: "...") mslearn code-search "..." --language ...
microsoft_docs_fetch(url: "...") mslearn fetch "..."

Pass --json to search or code-search to get raw JSON output for further processing.