Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Bounded local MCP access to one approved repository for AI read/search and structured handoffs.
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.
필요한 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": {
"reporelay": {
"command": "npx",
"args": [
"-y",
"reporelay-mcp",
"quickstart"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add reporelay -- npx -y reporelay-mcp quickstart이 서버는 실행 명령어에 값을 넣어야 해서, 설정을 복사한 뒤 직접 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"reporelay": {
"command": "npx",
"args": [
"-y",
"reporelay-mcp",
"quickstart"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 실행 명령어에 값을 넣어야 해서, 설정을 복사한 뒤 직접 채워 주세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"reporelay": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"reporelay-mcp",
"quickstart"
]
}
}
}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 7일 점검
레지스트리 이름이 GitHub 계정 Lukie-81 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(1.2.5)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Give AI access to your repository — not your machine.
RepoRelay lets ChatGPT safely inspect one local repository without giving it control of the rest of your computer.
=22.19 <27">
Website · npm package · MCP listing
ChatGPT → Secure MCP Tunnel → tunnel-client → RepoRelay → one approved repository
Read safe files · Search code · One approved repository · No shell · No Git · No arbitrary writes
Watch the full demo →
Quick Setup · Use It · Handoff · Troubleshooting · Security
RepoRelay is a local, first-party MCP bridge that gives ChatGPT bounded access to exactly one approved repository on your computer — nothing more.
ChatGPT reviews your code through RepoRelay, and can leave a structured task for a separate local coding agent (like Codex or Claude) through fixed handoff files. RepoRelay is the security boundary between ChatGPT and your machine.
ChatGPT reviews/plans
↓ RepoRelay ↓ Repository reads/searches + fixed .ai-handoff writers ↓ Codex / another local coding agent implements
MCP (Model Context Protocol) is the standard that lets ChatGPT call tools. ChatGPT is the MCP client. RepoRelay is the local MCP server and security boundary: it decides what ChatGPT may access and exposes exactly one approved repository at a time. tunnel-client is only the secure networking pipe that carries ChatGPT traffic to your computer.
| Component | Job |
|---|---|
| ChatGPT | MCP client — chooses RepoRelay tools. |
| Secure MCP Tunnel | Carries traffic from ChatGPT to your computer. |
tunnel-client | Local network forwarder; points the tunnel at RepoRelay. |
| RepoRelay | MCP server + security boundary; enforces authentication and allowed access. |
| Repository | The one directory ChatGPT is allowed to inspect. |
What ChatGPT can do through RepoRelay (the normal 7-tool setup):
✓ inspect files open_workspace, list_files, read_file
✓ find instructions list_files with instructionsOnly ✓ search the repository search_files ✓ write to three predetermined handoff targets write_next_task, write_review, update_handoff_state
In read-only mode, only the four read/search tools are exposed.
What ChatGPT cannot do:
✗ run shell commands
✗ run PowerShell ✗ run Git ✗ launch processes ✗ arbitrarily edit source files ✗ delete files ✗ choose arbitrary write targets ✗ access outside the approved repository
This is one of RepoRelay's strongest differentiators: ChatGPT can read and plan against your code, but it gets no execution capability and can only write to a few fixed handoff files you control.
RepoRelay runs in two modes. The right one depends on your ChatGPT plan and workspace:
| Mode | Start command | Tools in Scan Tools |
|---|---|---|
| Read-only | reporelay quickstart " " --no-handoff-writes | 4 |
| Handoff (default) | reporelay quickstart " " | 7 |
Both modes share the same security boundary; read-only mode simply disables the three handoff writers. RepoRelay cannot enable ChatGPT developer mode or tunnel access. OpenAI plan and workspace behavior changes over time, so check the current OpenAI Secure MCP Tunnel guide for what your account offers.
You need:
>=22.19 and <27 (npm is included). Check with node --version.You do not need to download anything else. RepoRelay installs the official OpenAI tunnel-client automatically during reporelay tunnel setup.
Do not worry about the handoff protocol yet. The quickstart sets up working handoff files for you and explains them as you go.
Setup touches three different surfaces, and the tunnel and the ChatGPT integration are configured in different places:
YOUR MACHINE reporelay quickstart "<repo>"
starts RepoRelay against ONE repository ↓ OPENAI PLATFORM create the Secure MCP Tunnel + runtime API key (reporelay tunnel setup walks you through it) ↓ CHATGPT enable developer mode, then add RepoRelay through the Plugins / custom MCP app flow, choosing the tunnel you created
The Secure MCP Tunnel is created and configured in OpenAI Platform. The ChatGPT integration that uses the tunnel is added inside ChatGPT — not on the Platform page where you created the tunnel. If you already have a tunnel and are wondering "where do I actually add RepoRelay to ChatGPT?", that is step 6 below, inside ChatGPT itself.
Path examples. Always quote the repository path:
`bash
# macOS / Linux
reporelay quickstart "$HOME/Projects/my-app"
`
`powershell
# Windows PowerShell — keep the backslashes
reporelay quickstart "C:\Users\you\Projects\my-app"
`
C:\Users\you\Projects\my-appis correct.C:Users\you\Projects\my-appis
not — the backslashes matter.
npm install -g reporelay-mcp@latest
npm is the supported and tested installer. Check the install:
reporelay --version
If reporelay cannot be found (command not found on macOS/Linux, is not recognized on Windows), see Troubleshooting.
reporelay quickstart "$HOME/Projects/my-app"
Replace the path with the repository you want to expose (Windows example: reporelay quickstart "C:\Projects\my-app"). Keep this terminal open.
No path? The current directory is only a default. If you omit the repository path, quickstart uses the directory you are standing in and says so in its summary. Only this default depends on the current directory — reporelay tunnel setup, tunnel doctor, and tunnel run read stored per-user configuration and work from any directory. The tunnel does not need to be started from the repository directory.
You should see:
Ready.
Local MCP: http://127.0.0.1:7676/mcp
The normal quickstart enables the 7-tool handoff surface (4 inspection tools + 3 fixed handoff writers). RepoRelay now creates a small .ai-handoff workspace and an AGENTS.md note so ChatGPT can leave structured tasks and reviews for a separate local coding agent:
.ai-handoff/NEXT_TASK.md
.ai-handoff/REVIEW.md .ai-handoff/RESULT.md .ai-handoff/STATE.json AGENTS.md
Using read-only mode instead (--no-handoff-writes, the recommended starting mode for personal ChatGPT workspaces that expose developer mode and Tunnel)? RepoRelay exposes the 4 read/search tools and creates none of these files. See Read-only mode.
Why does RepoRelay create these? ChatGPT still cannot run commands, use Git, or arbitrarily edit your repository. These files are simply a place where ChatGPT can leave a task, and a separate local coding agent (running on your own machine, with your own permission) can leave its result. More below in ChatGPT ↔ coding-agent handoff.
To stop RepoRelay later, press Ctrl+C in this window. There is no reporelay quickstart --stop.
Immediately after quickstart, verify RepoRelay's actual security boundary:
reporelay audit "$HOME/Projects/my-app"
You should see:
RESULT: PASS
Audit starts its own temporary loopback listener and exercises the real authenticated MCP surface, containment checks, and handoff restrictions. It does not modify your repository. This validates RepoRelay *before* ChatGPT is connected. If you started quickstart with --no-handoff-writes, add the same flag to the audit command.
In a second terminal window, run:
reporelay tunnel setup
This starts the RepoRelay setup wizard. It does everything for you:
✓ installs a RepoRelay-supported OpenAI tunnel-client
✓ verifies it (pinned version + official SHA-256) ✓ opens OpenAI tunnel setup ✓ asks for your tunnel ID ✓ opens OpenAI runtime-key setup ✓ securely stores the pasted key ✓ creates the tunnel profile ✓ tests the complete connection
You provide exactly two things, both in OpenAI Platform:
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요