Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Indexed C/C++ code navigation for AI agents — GNU Global (gtags) lookups over MCP, not grep scans.
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.
GTAGS_MCP_ROOT, GTAGS_MCP_AUTO_SETUP필요한 것
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": {
"gtags": {
"command": "uvx",
"args": [
"mcp-gtags-server"
],
"env": {
"GTAGS_MCP_ROOT": "your-value",
"GTAGS_MCP_AUTO_SETUP": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add gtags --env GTAGS_MCP_ROOT=your-value --env GTAGS_MCP_AUTO_SETUP=your-value -- uvx mcp-gtags-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"gtags": {
"command": "uvx",
"args": [
"mcp-gtags-server"
],
"env": {
"GTAGS_MCP_ROOT": "your-value",
"GTAGS_MCP_AUTO_SETUP": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"gtags": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-gtags-server"
],
"env": {
"GTAGS_MCP_ROOT": "your-value",
"GTAGS_MCP_AUTO_SETUP": "your-value"
}
}
}
}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.
GTAGS_MCP_ROOT envGTAGS_MCP_AUTO_SETUP env이 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 7일 점검
레지스트리 이름이 GitHub 계정 harshithsunku 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(2.0.0)은 2개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, First Sale Scout
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Playbooks and a 14-day checklist for founders winning their first paying customers.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Stop letting your AI agent grep. Give it an index.
mcp-name: io.github.harshithsunku/mcp-gtags-server
# If you don't have uv yet (one-time, no sudo):
curl -LsSf https://astral.sh/uv/install.sh | sh
{ "mcpServers": { "gtags": { "command": "uvx", "args": ["mcp-gtags-server"] } } }
*One user-level config entry, no sudo, no pre-installed anything — the whole toolchain installs itself into user space on first use, and every repo you open is served automatically.*
📖 [Full documentation](https://harshithsunku.github.io/mcp-gtags-server/) — install for every client, the tool reference, output format, kernel features, configuration and troubleshooting.
Every AI coding agent — Claude Code, Cursor, Codex, you name it — answers *"where is this function defined?"* the same way: grep the entire tree. On a million-line C/C++ codebase that's a full scan per question, and the output is a firehose: every comment, string literal, and unrelated match, dumped straight into the model's context window.
mcp-gtags-server replaces those scans with indexed lookups powered by GNU Global (gtags) — the same tags engine kernel and systems developers have trusted for decades — exposed to agents over the Model Context Protocol. Built for the codebases LSP-based tools can't handle: kernel-scale C/C++, trees that don't currently compile, machines you can't sudo on.
#ifdef guard stacks with .config filtering, macro-generated symbols (sys_read → its SYSCALL_DEFINE3 site) that no other tagging tool resolves, and definitions the parser misses recovered from their EXPORT_SYMBOL site via ctagsMeasured on a full Linux kernel checkout — 65,163 C/C++ files, 37.1 million lines — warm page cache:
| Question an agent asks | grep -rn | gtags (this server) | Context consumed |
|---|---|---|---|
Where is tcp_v4_rcv defined? | 1.40 s | 0.01 s | 8 lines → 1 line |
Where is kmalloc defined? | 1.62 s | 0.01 s | 7,873 lines → 5 lines |
Who references kmalloc? | 1.62 s | 0.10 s | 7,873 noisy lines → 2,744 real sites (or a ranked per-file summary) |
Show me tcp_v4_rcv's implementation | *read a 3,500-line file* | `get_symbol_body` | exactly the 271-line function |
Who calls ext4_mark_inode_dirty? | 245 raw match lines | `find_callers` | 62 deduped caller functions, with counts |
Where is sys_read *really* defined? | *no answer — the name is macro-generated* | 0.03 s | fs/read_write.c SYSCALL_DEFINE3(read, ...), flagged resolved_via |
Where is mutex_lock defined? | 24,774 noisy match lines | 0.2 s | kernel/locking/mutex.c:314 — recovered via EXPORT_SYMBOL + ctags after gtags' parser derails on it |
Does ksys_read ever reach rw_verify_area? | *N rounds of grep + reading* | 0.6 s | the shortest call chain, with every call site's file:line |
Every mutex_lock call in fs/ext4? | 22,905 tree-wide match lines | 0.01 s | find_references(path_prefix="fs/ext4"): the 18 real sites |
One-time index build: 66 s for the whole kernel. Incremental refresh after edits: well under a second. Reproduce it yourself with scripts/benchmark.sh:
./scripts/benchmark.sh /path/to/linux tcp_v4_rcv kmalloc ext4_readdir
The speed is nice. The real win is precision: an agent that gets 5 exact lines instead of 7,873 noisy ones keeps its context window for actual reasoning.
And the answers are *measured*, not assumed: CI runs a 64-case golden eval against pinned kernel v6.16 on every push — currently 100% recall, 100% precision@1 across definitions, macro resolution, export recovery, references, callers, callees, definition bodies, #ifdef guards, and reachability, covering all 8 tools. The full methodology, numbers, and honest limitations live in docs/capability.md.
Add the server once, at user level, and you're done — no installer, no pre-installed gtags, no per-repo setup. The only prerequisite is uv (or use Option B, which installs it for you).
# Claude Code (once per device, all repos):
claude mcp add --scope user gtags -- uvx mcp-gtags-server
// Cursor (~/.cursor/mcp.json), or any MCP client's global settings:
{ "mcpServers": { "gtags": { "command": "uvx", "args": ["mcp-gtags-server"] } } }
Or click the Cursor one-click install badge at the top of this page.
On the very first tool call the server bootstraps everything else by itself: GNU Global (prebuilt user-space binaries — no compiler, no sudo), universal-ctags, and Pygments, all into ~/.gtags-mcp. While that one-time install runs (a few seconds on most platforms), tool calls return a *"toolchain is being installed — retry shortly"* status instead of failing. Opt out with --no-auto-setup or GTAGS_MCP_AUTO_SETUP=0.
The prebuilt Linux binaries run on any distro with glibc ≥ 2.28 (RHEL/Rocky 8+, Ubuntu 18.10+, Debian 10+). On older hosts — or if a downloaded binary fails its post-install execution check — setup automatically compiles GNU Global from source instead, which only needs make and a C compiler.
The plugin bundles this server, a "C/C++ code navigation" skill that tells the agent which tool answers which question, and two slash commands (/gtags:impact, /gtags:explain). Installing it registers the MCP server for you — there is no config file to edit.
| Client | Install |
|---|---|
| Claude Code | /plugin marketplace add harshithsunku/mcp-gtags-server then /plugin install mcp-gtags-server@mcp-gtags-server |
| Codex | codex plugin marketplace add harshithsunku/mcp-gtags-server, then install it from the Plugins Directory in the ChatGPT desktop app |
| Cursor | Loads Agent Plugins 1.0.0, but installs only from the Cursor Marketplace or a team marketplace — until this plugin is listed there, use the one-click badge or Option A |
Install one way, not both. A plugin *and* a manual entry run two servers,
and the agent sees every tool twice. Switching to the plugin? Remove the
manual entry first (
claude mcp remove gtags).
One command. No sudo. Works everywhere — restricted corporate machines, containers, build servers:
curl -fsSL https://raw.githubusercontent.com/harshithsunku/mcp-gtags-server/main/scripts/install.sh | bash
Everything lands in your home directory — the server (via uv), GNU Global, universal-ctags, and Pygments (in ~/.gtags-mcp). When it finishes, a shared background HTTP server is running that every client and IDE window on the machine can point at (http://127.0.0.1:8383/mcp), and the exact client configuration is printed to your console.
Re-run the same command any time:
Available with any install, in clients that support MCP prompts (Claude Code, Cursor). They cost no tool-schema context:
| Command | What it runs |
|---|---|
/gtags:impact [git_ref] | git diff → the changed functions → find_callers on each → callers ranked by risk |
/gtags:explain | definition (+ #ifdef variants) → body → callers → a short explanation |
However you install it, one user-level entry serves every repo you open — 20 repos need zero extra installs and zero extra config. Each tool call resolves its project root down this ladder:
project_root argument on the tool call (agents pass this to target any tree)--root flag / GTAGS_MCP_ROOT env varroot in a config file *(note: pinning a root here defeats multi-repo)*project_root. Roots exist only for clients on protocol revisions up to 2025-11-25: the 2026-07-28 revision deprecated them, so those clients skip this step (stdio servers still resolve through step 5; on the shared HTTP server, agents pass project_root).git/GTAGS — this is why stdio servers spawned by Claude Code/Cursor inside a repo just workStep 5 can be switched off with --no-cwd-fallback / GTAGS_MCP_CWD_FALLBACK=0 (the plugin sets it): the tools then ask for project_root instead of indexing whatever directory the server happens to run in. Plugin clients launch the server from the plugin's own folder, which is never your project.
That's it. No indexing step, no configuration. Ask your agent *"who calls tcp_v4_rcv?"* — the first query in any repo builds that repo's index automatically, and every query after that is answered in milliseconds. Run mcp-gtags-server doctor any time to see what the server detects, or mcp-gtags-server config to re-print the client configuration.
Background server details (network access, port, lifecycle)
The installer runs mcp-gtags-server --transport http --host 127.0.0.1 --port 8383 in the background (pid: ~/.gtags-mcp/server.pid, log: ~/.gtags-mcp/server.log). Environment overrides for the installer:
| Variable | Default | Meaning |
|---|---|---|
GTAGS_MCP_PORT | 8383 | HTTP port |
GTAGS_MCP_HOST | 127.0.0.1 | Bind address — set 0.0.0.0 to reach the server from other devices at http:// :8383/mcp |
GTAGS_MCP_NO_SERVER | unset | 1 = don't start a background server |
Security note: the HTTP endpoint is unauthe
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