GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
제작자가 쓴 설명(영어 원문)
Dokploy MCP server: manage apps, Docker Compose, databases, domains, backups, and servers.
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.
DOKPLOY_URL, DOKPLOY_API_KEY, TRANSPORT_TYPE, PORT, HOST비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
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": {
"dokploy": {
"command": "npx",
"args": [
"-y",
"dokploy-mcp-server"
],
"env": {
"DOKPLOY_URL": "your-value",
"DOKPLOY_API_KEY": "your-value",
"TRANSPORT_TYPE": "your-value",
"PORT": "your-value",
"HOST": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add dokploy --env DOKPLOY_URL=your-value --env DOKPLOY_API_KEY=your-value --env TRANSPORT_TYPE=your-value --env PORT=your-value --env HOST=your-value -- npx -y dokploy-mcp-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"dokploy": {
"command": "npx",
"args": [
"-y",
"dokploy-mcp-server"
],
"env": {
"DOKPLOY_URL": "your-value",
"DOKPLOY_API_KEY": "your-value",
"TRANSPORT_TYPE": "your-value",
"PORT": "your-value",
"HOST": "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": {
"dokploy": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"dokploy-mcp-server"
],
"env": {
"DOKPLOY_URL": "your-value",
"DOKPLOY_API_KEY": "your-value",
"TRANSPORT_TYPE": "your-value",
"PORT": "your-value",
"HOST": "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.
TRANSPORT_TYPE envPORT envHOST 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 sapientsai 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.
입력해야 할 값: DOKPLOY_URL, DOKPLOY_API_KEY
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(1.10.0)은 34일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
A comprehensive Model Context Protocol (MCP) server for Dokploy - the open-source, self-hosted PaaS. Deploy apps, manage containers, databases, domains, and servers through AI assistants like Claude.
Tracks Dokploy v0.30.8. Tools are built against the v0.30.8 OpenAPI spec (604 paths). The comparison below was measured on 2026-10-03.
The official Dokploy MCP generates one tool per API endpoint. Its latest release, @dokploy/mcp@0.30.7, exposes 604 tools, one for each of the 604 paths in Dokploy's v0.30.8 OpenAPI spec. Coverage is complete, and every one of those schemas loads into the model's context before you ask your first question.
This server hand-curates the same API into 27 tools (one per category, each taking an action enum), covering the deploy-and-operate surface most self-hosters use daily.
Official @dokploy/mcp | This server | |
|---|---|---|
| Tools exposed | 604 | 28 (27 + info) |
tools/list schema payload | 319,143 bytes | 51,974 bytes |
| Approximate tokens loaded up front | ~80k | ~13k |
| Median tool schema | 387 bytes | 1,257 bytes |
Measured 2026-10-03 against @dokploy/mcp@0.30.7 (the latest published) and this server's build tracking Dokploy v0.30.8. Each server was started over stdio, sent tools/list, and its serialized tool array counted in bytes (divided by 4 for a rough token estimate).
On a 200k-token context window, the official server spends about 40% of it before you ask anything; this server spends about 6.5%. The larger median schema here is deliberate: descriptions carry the workflow knowledge that prevents failed calls, such as which service id pairs with which databaseType.
Tool counts for the official server are per category, taken from its live tools/list at @dokploy/mcp@0.30.7.
| Category | Official MCP | This Server |
|---|---|---|
| Projects | 11 tools | 1 tool (6 actions) |
| Applications | 32 tools | 1 tool (24 actions) |
| Compose | 31 tools | 1 tool (21 actions) |
| Deployments | 9 tools | 1 tool (5 actions) |
| Docker | 21 tools (incl. disk usage) | 1 tool (17 actions) |
| Docker Volumes | 8 tools | 1 tool (8 actions) |
| Docker Images | 3 tools | 1 tool (3 actions) |
| Networks | 9 tools | 1 tool (9 actions) |
| Overview | 3 tools | 1 tool (3 actions) |
| DNS Providers | 11 tools | 1 tool (11 actions) |
| Vault Providers | 7 tools | 1 tool (7 actions) |
| Domains | 10 tools | 1 tool (9 actions) |
| Redirects | 4 tools | 1 tool (4 actions) |
| Servers | 19 tools | 1 tool (9 actions) |
| Settings | 52 tools | 1 tool (5 actions) |
| Databases | 94 tools (6 engines) | 1 tool (17 actions, all 6 DB) |
| Backups | 12 tools | 1 tool (6 actions) |
| Volume Backups | 6 tools | 1 tool (6 actions) |
| Preview Deployments | 4 tools | 1 tool (4 actions) |
| Schedules | 6 tools | 1 tool (6 actions) |
| Audit Log | 1 tool | 1 tool (1 action) |
| Environments | 7 tools | 1 tool (6 actions) |
| Infrastructure | 13 tools (ports, certs, auth) | 1 tool (8 actions) |
| Mounts | 6 tools | 1 tool (6 actions) |
| SSH Keys | 7 tools | 1 tool (6 actions) |
| Registries | 7 tools | 1 tool (7 actions) |
| Destinations | 6 tools | 1 tool (6 actions) |
| Total | 399 tools | 27 tools |
Key advantages:
dbType + action paramsaction enum parameter; other params are optional based on actionOf the official server's 604 tools, 399 fall inside the categories above; the remaining 205 have no equivalent here:
If your workflow needs any of those, use the official server, or run both.
Add to your MCP configuration:
{
"mcpServers": { "dokploy": { "command": "npx", "args": ["-y", "dokploy-mcp-server"], "env": { "DOKPLOY_URL": "https://dokploy.example.com", "DOKPLOY_API_KEY": "your-api-key" } } } }
Add to .cursor/mcp.json:
{
"mcpServers": { "dokploy": { "command": "npx", "args": ["-y", "dokploy-mcp-server"], "env": { "DOKPLOY_URL": "https://dokploy.example.com", "DOKPLOY_API_KEY": "your-api-key" } } } }
docker run -e DOKPLOY_URL=https://dokploy.example.com \
-e DOKPLOY_API_KEY=your-api-key \ -e TRANSPORT_TYPE=httpStream \ -p 3000:3000 \ dokploy-mcp-server
| Variable | Required | Default | Description |
|---|---|---|---|
DOKPLOY_URL | Yes | - | Your Dokploy instance URL |
DOKPLOY_API_KEY | Yes | - | API key from Dokploy Settings > API Keys |
TRANSPORT_TYPE | No | stdio | Transport mode: stdio or httpStream |
PORT | No | 3000 | HTTP port (httpStream mode only) |
HOST | No | 0.0.0.0 | HTTP host (httpStream mode only) |
Each tool uses an action enum to select the operation. Parameters are optional and used based on the chosen action.
dokploy_project (6 actions)Actions: list | get | create | update | remove | duplicate
Manage projects. list and get return nested environments with their applications, composes, and databases (with names, IDs, and status), so you can discover service IDs without extra calls. create requires name. update requires projectId + fields. remove requires projectId. duplicate requires sourceEnvironmentId + name.
Reading the status label. Dokploy's status enum is idle | running | done | error, rendered as [IDLE], [RUNNING], [DONE], [ERROR]. It describes the deployment, not live container state — [DONE] means the last deploy finished, and [IDLE] means nothing has run, neither of which implies a container is up right now. Check dokploy_docker getContainers for what is actually running.
dokploy_application (24 actions)Actions: create | get | update | move | deploy | start | stop | delete | markRunning | refreshToken | cleanQueues | killBuild | cancelDeployment | reload | saveEnvironment | setEnvVars | getEnvKeys | getEnvValuesUnsafe | saveBuildType | traefikConfig | readMonitoring | readLogs | search | deployNginxQuickstart
Full application lifecycle. Most actions require applicationId. create requires name + environmentId. deploy supports redeploy flag. readMonitoring requires appName. search finds applications by q/name/appName/repository/owner/dockerImage/projectId/environmentId, with limit (1–100, default 20) and offset; the reply flags a truncated page. deployNginxQuickstart takes environmentId (+ optional serverId) and creates and deploys a "Hello World" nginx demo app on a generated traefik.me domain — Dokploy's onboarding smoke test.
Env handling. get returns a masked env summary (count only) — never the values. Three actions cover the rest:
setEnvVars — granular merge inside the server. Pass set (KEY=VALUE per line, upsert) and/or unset (array of KEY names). The read-modify-write happens server-side; the tool result is a masked confirmation listing only the changed key names. No untouched-key values ever enter the transcript.getEnvKeys — returns KEY names only, sorted. Safe to read.getEnvValuesUnsafe — unsafe escape hatch that returns the full KEY=VALUE blob. Use only when you genuinely need the values; the output is in the tool transcript and any retained agent logs.saveEnvironment — full-replace, kept for explicit blob-set workflows.sourceType:
github → repository + owner + branch (+ githubId for private)git → customGitUrl + customGitBranchdocker → dockerImagebuildType: dockerfile | heroku_buildpacks | paketo_buildpacks | nixpacks | static | railpack.
The underlying API also supports gitlab/bitbucket/gitea/drop sources, but those need provider-specific fields not yet exposed by this tool.
dokploy_compose (21 actions)Actions: create | get | update | delete | deploy | start | stop | move | loadServices | loadMounts | getDefaultCommand | cancelDeployment | cleanQueues | killBuild | refreshToken | saveEnvironment | setEnvVars | getEnvKeys | getEnvValuesUnsafe | readLogs | search
Docker Compose management. Most actions require composeId. create requires name + environmentId. deploy takes optional redeploy and freshVolumes — `freshVolumes` runs `docker compose down --volumes` first, deleting the service's volume data (docker-compose type only). loadMounts requires serviceName. cancelDeployment/cleanQueues/killBuild/refreshToken require composeId. search takes the same query fields as dokploy_application.
Env handling. Same shape as dokploy_application: get returns a masked summary, setEnvVars merges, getEnvKeys lists key names, getEnvValuesUnsafe is the escape hatch, saveEnvironment full-replaces.
sourceType:
github → repository + owner + branch (+ composePath)git → customGitUrl + customGitBranch (+ customGitSSHKeyId for private)-
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요