에이전트 강화
게시자의 자체 명령입니다. PlugMCP 엔드포인트가 아닙니다.
Host a copy with our keys and logs.
uvx codesurface==0.8.0Claude Code에는 로컬 명령용 설치 링크가 없습니다. 아래 명령을 복사해 터미널에서 실행합니다.
claude mcp add io.github.codeturion-codesurface -- uvx codesurface==0.8.0터미널에서 실행합니다.
{ "mcpServers": { "io.github.codeturion-codesurface": { "command": "uvx", "args": [ "codesurface==0.8.0" ] } }}claude_desktop_config.json
원격 URL인가요, 내 컴퓨터에서 실행하는 명령인가요? 두 설치 방식의 차이
PlugMCP에서 실행
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
실행MCP server that indexes your codebase's public API at startup and serves it via compact tool responses, saving tokens vs reading source files.
Parses source files, extracts public classes/methods/properties/fields/events, and serves them through 5 MCP tools. Works with Claude Code, Cursor, Windsurf, or any MCP-compatible AI tool.
Supported languages: C# (.cs), C++ headers (.h, .hpp, .hxx, .h++), Go (.go), Java (.java), Python (.py), TypeScript/JavaScript (.ts, .tsx, .js, .jsx)
Add to your .mcp.json:
{
"mcpServers": {
"codesurface": {
"command": "uvx",
"args": ["codesurface", "--project", "/path/to/your/src"]
}
}
}
Point --project at any directory containing supported source files (a Unity Assets/Scripts folder, a Spring Boot project, a .NET src/ tree, a Node.js/React project, a Python package, etc.). Languages are auto-detected.
Restart your AI tool and ask: "What methods does MyService have?"
Add this to your project's CLAUDE.md (or equivalent instructions file). This step is important. Without it, the AI has the tools but won't know when to reach for them.
## Codebase API Lookup (codesurface MCP)
Use codesurface MCP tools BEFORE Grep, Glob, Read, or Task (subagents) for any class/method/field lookup. This applies to you AND any subagents you spawn.
| Tool | Use when | Example |
|------|----------|---------|
| `search` | Find APIs by keyword | `search("MergeService")` |
| `get_signature` | Need exact signature | `get_signature("TryMerge")` |
| `get_class` | See all members on a class | `get_class("BlastBoardModel")` |
| `get_stats` | Codebase overview | `get_stats()` |
Every result includes file path + line numbers. Use them for targeted reads:
- `File: Service.cs:32` → `Read("Service.cs", offset=32, limit=15)`
- `File: Converter.java:504-506` → `Read("Converter.java", offset=504, limit=10)`
Never read a full file when you have a line number. Only fall back to Grep/Read for implementation details (method bodies, control flow).
search, get_signature, and get_class accept two optional filters:
file_path: scope results to a directory prefix or exact file (e.g. "src/services/" or "src/services/MergeService.ts")include_tests: include test files in results (default false). Detects __tests__/, tests/, test/, *.test.*, *.spec.*, *_test.*, test_*Every record includes line_start and line_end (1-indexed). Multi-line declarations span the full signature:
[METHOD] com.google.common.base.Converter.from
Signature: static Converter<A, B> from(Function<...> forward, Function<...> backward)
File: Converter.java:504-506 ← multi-line signature
[METHOD] server.AlbumController.createAlbum
Signature: createAlbum(@Auth() auth: AuthDto, @Body() dto: CreateAlbumDto)
File: album.controller.ts:46 ← single-line
This lets AI agents do targeted reads instead of reading full files:
# Instead of reading the entire 600-line file:
Read("Converter.java") # 600 lines, ~12k tokens
# Read just the method + context:
Read("Converter.java", offset=504, limit=10) # 10 lines, ~200 tokens
Measured across 5 real-world projects in 5 languages, each using a 10-step cross-cutting research workflow.
Even with follow-up reads for implementation detail, the hybrid MCP + targeted Read approach uses 44% fewer tokens than a skilled Grep+Read agent and 87% fewer than a naive agent:
See workflow-benchmark.md for the full step-by-step analysis across all languages.
By default, codesurface skips common vendored, build, and VCS directories: node_modules, vendor, bin, obj, dist, build, target, .git, .venv, __pycache__, and a few dozen others. Git worktrees and submodules are also skipped.
To exclude additional paths:
Project-level (committed): create a .codesurfaceignore file at your project root with one glob per line.
generated/**
docs/**
**/*.pb.go
Per-instance (CLI): pass --exclude with comma-separated globs.
{
"command": "uvx",
"args": ["codesurface", "--project", "src", "--exclude", "generated/**,vendor/**"]
}
Other indexing flags:
--include-submodules: index git submodules (skipped by default)--language <name>: pin to a single parser (e.g. --language cpp) instead of auto-detectingEach --project flag indexes one directory. To index multiple codebases, run separate instances with different server names:
{
"mcpServers": {
"codesurface-backend": {
"command": "uvx",
"args": ["codesurface", "--project", "/path/to/backend/src"]
},
"codesurface-frontend": {
"command": "uvx",
"args": ["codesurface", "--project", "/path/to/frontend/src"]
}
}
}
Each instance gets its own in-memory index and tools. The AI agent sees both and can query across projects.
Using pip install:
pip install codesurface
{
"mcpServers": {
"codesurface": {
"command": "codesurface",
"args": ["--project", "/path/to/your/src"]
}
}
}
codesurface/
├── src/codesurface/
│ ├── server.py # MCP server with 5 tools
│ ├── db.py # SQLite + FTS5 database layer
│ ├── filters.py # PathFilter (default exclusions, .codesurfaceignore, --exclude)
│ └── parsers/
│ ├── base.py # BaseParser ABC
│ ├── cpp.py # C++ header parser
│ ├── csharp.py # C# parser
│ ├── go.py # Go parser
│ ├── java.py # Java parser
│ ├── python_parser.py # Python parser
│ └── typescript.py # TypeScript/JavaScript parser
├── pyproject.toml
└── README.md
"No codebase indexed"
--project points to a directory containing supported source files (.cs, .h, .hpp, .go, .java, .py, .ts, .tsx, .js, .jsx)[codesurface] scanning N files... and [codesurface] done: linesServer won't start
python --version (needs 3.10+)mcp[cli] is installed: pip install mcp[cli]Stale results after editing source files
reindex() manually to force an incremental updateIndexes your codebase's public API and serves it via compact MCP tool responses.
{ "mcpServers": { "io.github.codeturion-codesurface": { "command": "uvx", "args": [ "codesurface==0.8.0" ] } }}도구
아직 도구 목록이 없습니다. 원격 서버는 첫 상태 확인 후에 도구 목록이 생깁니다.
FAQ
이 페이지에서 Cursor, Claude Desktop, Claude Code 또는 VS Code용 stdio 설정을 복사합니다. PlugMCP 프록시가 아니라 게시자의 설치 방식을 사용합니다.
이 레코드에는 필수 환경 변수가 등록되어 있지 않습니다.
Codesurface은(는) stdio를 통해 로컬에서 실행됩니다.
마지막 확인: 2026-11-09. Indexes your codebase's public API and serves it via compact MCP tool responses.