MCPProxy
Local-first MCP proxy with BM25 tool discovery, security scanning, quarantine & ~99% token savings
제작자가 쓴 설명(영어 원문)
Journals every MCP tool call with secrets redacted; with a policy, holds risky calls for approval
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": {
"mcpcut": {
"command": "npx",
"args": [
"-y",
"mcpcut",
"wrap",
"--server",
"--"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add mcpcut -- npx -y mcpcut wrap --server --이 서버는 실행 명령어에 값을 넣어야 해서, 설정을 복사한 뒤 직접 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"mcpcut": {
"command": "npx",
"args": [
"-y",
"mcpcut",
"wrap",
"--server",
"--"
]
}
}
}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": {
"mcpcut": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcpcut",
"wrap",
"--server",
"--"
]
}
}
}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 8일 점검
레지스트리 이름이 GitHub 계정 RostislavMatov 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(0.4.2)은 18일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: MCPProxy, ConnectSecure MCP, EchelonGraph CVE & Exposure
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Local-first MCP proxy with BM25 tool discovery, security scanning, quarantine & ~99% token savings
Vulnerability management across all ConnectSecure clients: exposure ranking, CVE impact, blind spots
CVE, KEV, EPSS, SBOM and advisory lookups; per-CVE exposure from Shodan data (© Shodan). Keyless.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
See every tool call your AI agent makes over MCP, hold the risky ones for your approval, give it only the folders it needs, and keep a secret-redacted journal that is tamper-evident with an external anchor.
Self-hosted · Apache-2.0 · Node.js 24+ · two runtime dependencies. Start with one server on your laptop; grow into a control plane for many agents.
Requires Node.js 24+ (node -v); on older Node, mcpcut prints one line and exits — install Node 24 with nvm, fnm or volta. Nothing else to install.
See. Put the MCP servers you already have behind mcpcut. adopt finds them in Claude Code, Cursor and Claude Desktop (run it in your project's folder to include its .mcp.json) and shows the change; --apply writes it, keeping a copy of each file (adopt --undo puts them back). Then restart the client:
npx -y mcpcut@0.4.2 adopt npx -y mcpcut@0.4.2 adopt --apply
Or put mcpcut in front of one server by hand — here for Claude Code; in any other client, the server's command becomes npx -y mcpcut@0.4.2 wrap -- :
claude mcp add fs -- npx -y mcpcut@0.4.2 wrap --server fs -- npx -y @modelcontextprotocol/server-filesystem ~/project
On Windows, npm commands start only through cmd /c (adopt adds it for you) — by hand, put it before both npx:
claude mcp add fs -- cmd /c npx -y mcpcut@0.4.2 wrap --server fs -- cmd /c npx -y @modelcontextprotocol/server-filesystem C:\path\to\project
The first start downloads mcpcut and the server; if your client gives up on it, start it once more. Let the agent work, then npx -y mcpcut@0.4.2 sessions and npx -y mcpcut@0.4.2 show : every request and response, secrets redacted (with a policy, every decision too). --server fs names the server in the decisions a policy writes to the journal and in the approval queue.
Stop. Save this as ~/.mcpcut/data/policy.json — every server behind mcpcut reads it when it starts — and restart the client. Reads pass, everything else waits for you (quarantine of new tools is off, so the first minute shows one gate: see Quarantine):
{ "version": 1, "defaultDecision": "require-approval", "classDefaults": { "read": "allow" }, "quarantine": { "enabled": false } }
A server added by hand can take its own file instead: --policy "$PWD/policy.json" right after wrap.
A write now waits, for as long as the agent waits (Claude Code moves it to the background after two minutes and picks up the answer later). Approve it from another terminal — no token needed until you add your first admin. An approval sends exactly that call; if the agent stops waiting, the request closes and nothing is sent (Approvals):
npx -y mcpcut@0.4.2 approvals list npx -y mcpcut@0.4.2 approvals approve
Or be asked right in the session: let everything pass and stop only the tools you name — Claude Code shows Accept / Decline, no second terminal. fs is the server's name in your client — adopt keeps those names (Confirming in the client):
{ "version": 1, "defaultDecision": "allow", "quarantine": { "enabled": false }, "servers": { "fs": { "confirmInClient": { "write_file": ["*"], "edit_file": ["*"] } } } }
Rather click than write JSON? npx -y mcpcut@0.4.2 ui opens the admin UI. On Servers, Create policy writes a policy that lets every call pass — restart the client once — and then every tool of every server behind mcpcut has its buttons under view → on the server's card (a server shows up there after its first call): all under client makes that tool ask you in the session, approval holds it for the queue, deny blocks it. Each click takes effect on the next call.
Prove. Sign the history, export it, and check it offline — with nothing but the directory and the public key keygen printed (on another machine, pass it with --pub):
npx -y mcpcut@0.4.2 keygen && npx -y mcpcut@0.4.2 export --report --out ./report npx -y mcpcut@0.4.2 verify --report ./report npx -y mcpcut@0.4.2 verify --sign
The last line signs the chain head: keep what it prints somewhere this host cannot rewrite — the out-of-band anchor is what makes the journal tamper-evident, not the hashes alone.
Grow. npm install -g mcpcut, then mcpcut: a setup wizard, then a server registry, per-agent keys and grants, a credential vault, a web UI, a terminal console and one address per agent (Install and first run).
allow, deny or require-approval by server, tool name or tool class; read-only tools can pass on their own.files audit, and the Files page of the admin UI). Optionally a local Postgres for a complete audit, and search by meaning that runs on your machine.mcpcut files root add ~/project mcpcut files grant research-bot ~/project --ops read,write,edit
owner, operator and viewer roles; every change is attributed in the journal. AI agent ── stdio or HTTP ──▶ mcpcut ──────────────────▶ MCP servers
(Claude Code, grants → policy → (filesystem, Cursor, …) quarantine → approval GitHub, …) │ ▼ journal.db — redacted, hash-chained │ export --report ▼ verify offline, anywhere
Three ways in, one gate:
connect --url bridges a stdio client on another machine to it.The full picture, with the trust boundaries: docs/ARCHITECTURE.md.
| Guide | Covers |
|---|---|
| Install and first run | npm or source, the setup wizard, the first owner, reaching the service by IP |
| Wrapping a server and reading the journal | wrap, sessions, show, .mcp.json, fail-closed journaling, known limits |
| Policies, approvals and quarantine | policy.json, tool classes, approvals, quarantine, tools/list filtering |
| Registry, agents and the vault | servers, agent keys and grants, groups, revoking access, the vault |
| Giving an agent folders | the built-in file server: roots, per-agent rights, trash, audit, optional Postgres and search by meaning |
| HTTP agents and the pool | serve, one address per agent, connect --url |
| Admin UI | the web console, admins and roles, its threat model |
| The terminal console | mcpcut in a terminal, the remote console |
| Services, Docker and backups | start/stop/status, systemd and launchd, Docker, backup and restore |
| Audit reports and retention | export --report, verify --report, the out-of-band anchor, prune |
| CLI reference | every command and flag |
| Status | what is shipped, and the evidence behind each line |
mcpcut is 0.x. The core — proxy, policy, approvals, quarantine, journal, audit report, the built-in file server, admin UI and console — is shipped and covered by tests; Status lists each capability with its evidence.
mcpcut --remote) and the connect --url bridge to a service on another machine. They work and are tested against a VPS over TLS, but they put a token on the network, have had only an internal security review, and may change within 0.x. On one machine, the bridge to your local serve — the client config agent create prints — is the normal way in, not a preview.approvals approve you run: an admin token records who approved, it does not stop the same OS user (Approvals). The error a held call returns tells the agent a human must approve and never names the command.Please report vulnerabilities privately — SECURITY.md says how. The whole product had an internal security audit in September 2026; no independent audit has been done yet.
Issues and pull requests are welcome — see CONTRIBUTING.md.
Apache-2.0 — see NOTICE.