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제작자가 쓴 설명(영어 원문)
Token-efficient MCP server for codebase search, NuGet decompilation, and deep PDF reading.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"dotnetsearch": {
"command": "dnx",
"args": [
"PuneethDC.DotNetSearch",
"--yes"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add dotnetsearch -- dnx PuneethDC.DotNetSearch --yes프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"dotnetsearch": {
"command": "dnx",
"args": [
"PuneethDC.DotNetSearch",
"--yes"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"dotnetsearch": {
"type": "stdio",
"command": "dnx",
"args": [
"PuneethDC.DotNetSearch",
"--yes"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 puneethdc99 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.3)은 11일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 .NET도 있어야 해요.
같은 카테고리에는: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Agent-Native Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
MCP Server Identifier:
mcp-name: io.github.puneethdc99/dotnetsearch
*(Proof of package ownership for GitHub MCP Registry inclusion)*
DotNetSearch is a self-contained MCP (Model Context Protocol) server that empowers GitHub Copilot, Claude, Cursor, and other AI agents with high-performance codebase search, NuGet package decompilation, whitespace token reduction, and deep PDF document reading and analysis:
| Category | Tool | Purpose |
|---|---|---|
| Code Search | search | Find files and lines matching a keyword or natural-language query — returns only matching lines (~110 tokens vs ~2500 for a full file read) |
| Code Search | search_related | Find code chunks structurally similar to a known location — ideal for discovering callers, implementations, or patterns |
| Decompilation | decompile_type | Decompile any .NET type from referenced NuGet package assemblies — returns the full C# class definition without needing the source code |
| Optimization | compress_code | Reduce C# code indentation from 4-space to 1-space per indent level and remove blank lines — saves 10–20% tokens with zero semantic change |
| File Reading | read_file | Read a file from disk and optionally return a specific line range — useful after search when you need full file context |
| PDF Reading | read_pdf_text | Extract clean, structured text page-by-page or across targeted page ranges from any PDF document |
| PDF Reading | get_pdf_info | Inspect PDF metadata, total page count, per-page dimensions, author, subject, creation date, and structure |
| PDF Visuals | render_pdf_page_as_image | Rasterize any PDF page into a high-resolution PNG image at custom DPI — ideal for inspecting charts, diagrams, tables, and scanned documents |
| PDF Visuals | extract_pdf_images | Extract embedded raster images from PDF pages and save to disk with pixel coordinates |
| PDF Structure | get_pdf_bookmarks | Extract the hierarchical table of contents, bookmarks, and document outline with target page links |
| PDF Forms | get_pdf_form_fields | Read interactive AcroForm form fields (text boxes, checkboxes, radio buttons, dropdowns) and their values |
| PDF Assets | extract_pdf_attachments | Extract embedded file attachments from PDF documents and save them to disk |
| PDF Links | get_pdf_hyperlinks | Extract all clickable web URLs, internal page jumps, and external document links with bounding boxes |
Instead of reading full files (~2500 tokens each), the agent gets back only the matching lines (~110 tokens) — saving up to 98% of context window per query. For files that must be read in full, use compress_code first to strip whitespace overhead and save an additional 10–20% of tokens. For PDF documentation, technical manuals, and specifications, dedicated tools extract targeted text, images, and tables without overwhelming the model context window.
If you have the .NET SDK installed (recommended for .NET developers):
dotnet tool install -g PuneethDC.DotNetSearch
Once installed, the command dotnetsearch is available globally from any terminal.
To update to the latest version in the future:
dotnet tool update -g PuneethDC.DotNetSearch
Go to the latest release and download the self-contained executable for your platform:
| Platform | File to download |
|---|---|
| Windows x64 | DotNetSearch-win-x64.exe |
| Linux x64 | DotNetSearch-linux-x64 |
| macOS ARM64 | DotNetSearch-osx-arm64 |
No .NET installation required. The runtime is bundled inside the executable.
Save it somewhere permanent, e.g.:
C:\Tools\DotNetSearch.exe/usr/local/bin/DotNetSearchOn Linux/macOS, make it executable:
chmod +x /usr/local/bin/DotNetSearch
Open (or create) your global MCP config file:
| Client | Config file location |
|---|---|
| Visual Studio | %USERPROFILE%\.mcp.json |
| VS Code + Copilot | %USERPROFILE%\.mcp.json |
| Claude Desktop | %APPDATA%\Claude\claude_desktop_config.json |
| Cursor | %USERPROFILE%\.cursor\mcp.json |
Works identically across Windows, Linux, and macOS without path differences:
{
"servers": { "DotNetSearch": { "type": "stdio", "command": "dotnetsearch" } } }
{
"servers": { "DotNetSearch": { "type": "stdio", "command": "C:\\Tools\\DotNetSearch.exe" } } }
{
"servers": { "DotNetSearch": { "type": "stdio", "command": "/usr/local/bin/DotNetSearch" } } }
dnx (Zero-Install):{
"servers": { "DotNetSearch": { "type": "stdio", "command": "dnx", "args": ["PuneethDC.DotNetSearch"] } } }
If you already have other servers in the file, just add the "DotNetSearch" block inside the existing "servers" object.
Visual Studio / VS Code:
search, search_related, decompile_type, compress_code, read_fileread_pdf_text, get_pdf_info, render_pdf_page_as_image, extract_pdf_images, get_pdf_bookmarks, get_pdf_form_fields, extract_pdf_attachments, get_pdf_hyperlinksTo make Copilot automatically prefer DotNetSearch over built-in file reading, add the instructions below to your Copilot instructions file. There are two places you can put this — repo-level (affects only that repo) or global (affects all repos).
File location:
<your-repo-root>\.github\copilot-instructions.md
This file is read by GitHub Copilot for every conversation in that repository. It is the recommended place if you want DotNetSearch to be preferred only for a specific project.
How to find or create it:
.github subfolder — if it doesn't exist, create it.github, look for copilot-instructions.md — if it doesn't exist, create the fileFile location:
| Client | Global instructions file |
|---|---|
| Visual Studio | %APPDATA%\Microsoft\VisualStudio\Copilot\copilot-instructions.md |
| VS Code + Copilot | %USERPROFILE%\.github\copilot-instructions.md |
How to find or create it:
copilot-instructions.md doesn't exist in the folder, create the fileNote: If you add instructions to both files, Copilot merges them — both will be active at the same time.
Paste the following into whichever file you chose above:
## Search Preference
When searching for code, symbols, or text in this repository, always prefer the DotNetSearch MCP tool (search and search_related) over reading full files or using built-in workspace search. DotNetSearch returns only matching lines and is significantly more token-efficient (~98% fewer tokens per query). Do not call DotNetSearch tools in parallel — run one search at a time.
When reading, analyzing, or searching PDF documents:
read_pdf_text and get_pdf_info over raw file operations.get_pdf_info to inspect total pages and document metadata.read_pdf_text with specific page ranges (startPage, endPage) to avoid token overflow.render_pdf_page_as_image to rasterize the page.get_pdf_form_fields to extract user inputs.When the user asks about a third-party or NuGet type and the source code is not available in the workspace, use the DotNetSearch MCP tool decompile_type to decompile the type from the project's referenced assemblies. Pass the short or fully qualified type name and the absolute path to the .csproj file. The project must have been built at least once before calling this tool.
When reading source files to minimize context window usage, use the DotNetSearch MCP tool compress_code — BUT ONLY for the following fully-safe languages where indentation is cosmetic and braces/keywords define scope:
C#, Java, JavaScript, TypeScript, C, C++, Kotlin, Swift, Rust, Scala, PHP, Ruby, CSS, SCSS, Less, JSON, XML
NEVER call compress_code on any other language. In particular, NEVER use it on Python, YAML, CoffeeScript, Pug/Jade, HAML, or Makefile — these are indentation-sensitive and compression WILL silently corrupt the file structure.
Before calling compress_code, check the file extension:
Pass the absolute file path. For JavaScript/TypeScript projects using 2-space indentation, set sourceIndentSize=2.
No special commands or workflow changes are needed. Just continue your normal coding tasks in Copilot Agent Mode — DotNetSearch will be used automatically whenever Copilot needs to search your codebase or inspect PDF documents.
Over time you will notice a reduction in token usage per conversation. This is because DotNetSearch returns only the matching lines (typically ~110 tokens) instead of full file contents (~2500 tokens), saving up to 98% of context window per search operation.
searchSearches a local directory for files whose content matches a keyword or natural-language query. Uses BM25 ranking with CamelCase and snake_case token expansion.
| Parameter | Type | Default | Description |
|---|---|---|---|
query | string | required | Keyword, identifier, or natural-language phrase |
repo | string | required | Absolute or relative path to the directory to search |
top_k | int | 5 | Max results to return (1–100) |
context_lines | int | 0 | Lines of context above/below each match (0–5) |
search_relatedFinds code chunks structurally similar to a specific location in a file. Use after search to explore related implementations, callers, or patterns.
| Parameter | Type | Default | Description |
|---|---|---|---|
file_path | string | required | Path to the file as returned by a prior search result |
| line | int | required | Line number (1-indexed) from a pr
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요