microsoft-code-reference
Find Microsoft API references, working code examples, and verify SDK code correctness for Azure SDK and .NET libraries.
npx skills add github/awesome-copilot --skill microsoft-code-referenceBefore / After Comparison
1 组Manually searching for Microsoft API references and code examples is time-consuming and laborious, making it difficult to verify the correctness of SDK code. Developers face challenges when integrating Azure SDKs, leading to low development efficiency.
Quickly find Microsoft API references and working code examples, and verify SDK code correctness. Significantly improves the efficiency and accuracy for developers integrating Azure SDKs and .NET libraries.
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" (
UploadFilevs actualUpload) - Mixing SDK versions (v11
CloudBlobClientvs v12BlobServiceClient) - 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:
- Confirm method or package exists —
microsoft_docs_search(query: "[ClassName] [MethodName] [Namespace]") - Fetch full details (for overloads/complex params) —
microsoft_docs_fetch(url: "...") - 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 a terminal or shell (for example, Bash, PowerShell, or cmd) 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.
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