Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Rank log patterns by volume and cost, then compact, tier down or offload the excess over each cap
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.
LOG10X_API_KEY비밀로 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": {
"log10x": {
"command": "npx",
"args": [
"-y",
"log10x-mcp"
],
"env": {
"LOG10X_API_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add log10x --env LOG10X_API_KEY=your-value -- npx -y log10x-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"log10x": {
"command": "npx",
"args": [
"-y",
"log10x-mcp"
],
"env": {
"LOG10X_API_KEY": "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": {
"log10x": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"log10x-mcp"
],
"env": {
"LOG10X_API_KEY": "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.
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 log-10x 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: LOG10X_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(1.30.99)은 그저께 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 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.
Ask your AI assistant about log costs, log patterns, and incidents in plain English, and get structured answers backed by per-pattern metrics. "Why did our log costs spike this week?", "what's driving payments-svc volume?", "pull the payment_retry events for acme-corp from Jan 15 to Apr 15." The server exposes the 10x platform to Claude and any MCP-compatible assistant as a set of tools.
10x groups your logs by message type. The same lines repeat over and over with only the timestamp or request ID changing, so 10x collapses each flood of near-identical lines into one message type and ranks them by volume and cost. Names come from symbols compiled from code, so the same line gets the same name on every node under the same engine, library and configuration.
This server is open source under MIT. A Log10x product license (API key) unlocks the account-scoped tools; without one, the server boots read-only against a public demo dataset so the tools can be explored immediately.
| You say | What happens |
|---|---|
| "Where do I start? Help me cut log costs." | A guided menu asks what you want (cut cost, investigate, install) and routes to the right next step, plus what's new and what changed. log10x_start, log10x_whats_new, log10x_whats_changing |
| "Sign me in." / "Who am I connected as?" | GitHub sign-in mints and stores an API key, and shows the environments your account can reach. log10x_signin_start, log10x_login_status, log10x_create_env |
| "Show me how to install this on my stack." | Paste-ready setup steps for your own pipeline, fetch-back wiring, and a recommended action per service. A policy ships as a pull request to merge, or, for a ConfigMap, is written only by a second, explicit call. log10x_advise_install, log10x_advise_retriever, log10x_configure_engine |
| "Estimate savings on my data before I deploy." | A no-install savings report from a local log file or your existing log platform. log10x_poc_from_local, log10x_poc_from_siem_submit, log10x_poc_from_siem_status. A keyless boot attaches to the public demo dataset and registers these three as well, since they run on the user's machine and never touch the demo backend. LOG10X_DEMO_FALLBACK=off boots into POC mode instead, which drops log10x_top_patterns, log10x_investigate, log10x_savings and every Retriever tool. |
| "How much can I cut, and how much have I cut?" | Projected and realized savings with the per-pattern math behind every number. log10x_estimate_savings, log10x_savings, log10x_commitment_report |
| "What's driving my cost right now?" | The repeating message types and services driving volume and cost, and what moved week over week. log10x_top_patterns, log10x_whats_changing, log10x_services |
| "Why did payments-svc spike?" | A single-call investigation: timeline, correlated patterns, and the strongest temporal evidence, with confidence shown so nothing is presented as proven cause. log10x_investigate, log10x_metrics_that_moved, log10x_metric_overlay |
| "This message type is noise, cut it." | Sample, drop, compact, tier down, or offload a chosen message type, with examples and trend so the action is clear. log10x_pattern_mitigate, log10x_pattern_examples, log10x_pattern_trend |
| "We are 100% Lambda, no cluster. Install there." | The install plan comes back for the serverless estate: the engine as a Lambda extension paired with the function's OTel collector, a CDK construct, and an AWS-native recurring tick over an S3 config plane. log10x_advise_install, log10x_setup_recurring |
| "Get me the actual events I offloaded." | Fetch the exact events back on demand from your own S3. log10x_retriever_query, log10x_offload_add, log10x_retriever_register |
| "Recognize more of my message types." | Compile your own source code, binaries and container images into a symbol library so the engine names more of your message types. log10x_compile, log10x_compile_link, log10x_compile_status |
Claude Code
claude mcp add --transport stdio --env LOG10X_API_KEY=your-api-key log10x -- npx -y log10x-mcp
Verify with /mcp. Omit the --env flag to run read-only against the public demo dataset.
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": { "log10x": { "command": "npx", "args": ["-y", "log10x-mcp"], "env": { "LOG10X_API_KEY": "your-api-key" } } } }
Cursor, Windsurf, and other MCP clients
Add an mcpServers entry of the same shape: "command": "npx", "args": ["-y", "log10x-mcp"], and LOG10X_API_KEY in env. Omit the key to run read-only demo mode.
Full setup walkthrough: https://doc.log10x.com/apps/mcp/
Chart images (include_chart on log10x_top_patterns and log10x_pattern_trend) need chart.js and chartjs-node-canvas, optional peers that are not installed with the package; without them charts render as text.
The Elasticsearch, Azure Monitor and GCP Cloud Logging connectors, and the Azure App Configuration and GCP Secret Manager config stores, also use optional SDKs that keep the default install small. Add them when the server starts, for example npx -y -p log10x-mcp -p @azure/monitor-query -p @azure/identity log10x-mcp; the connector names the packages it needs if they are missing.
Account-scoped tools need a Log10x API key. Two ways to get one:
log10x_signin_start, complete the flow, then log10x_signin_complete. The key is stored for you. log10x_login_status shows who you're connected as.LOG10X_API_KEY directly.No key? The server boots read-only against the public 10x demo dataset (the same sample data the website console shows), so analysis, discovery, and the install advisors all work out of the box. Mutating tools are disabled in this mode so shared demo state stays untouched. Set LOG10X_DEMO_FALLBACK=off to boot into pure POC mode (savings estimates on your own files, no account). The mode is fixed at startup; restart the server to re-detect.
All optional. The common path is just LOG10X_API_KEY (or no key at all).
| Variable | Purpose |
|---|---|
LOG10X_API_KEY | Your Log10x API key. Omit to boot read-only on the public demo dataset. |
LOG10X_API_BASE | API base URL override (default https://prometheus.log10x.com). |
LOG10X_ENV_ID | Pin a specific environment id instead of autodiscovering from your account. |
LOG10X_DEMO_FALLBACK | Set to off to boot into POC mode instead of attaching to the public demo dataset when no key is set. |
LOG10X_MCP_READ_ONLY | Set to true or 1 to force read-only mode (all mutating tools refuse). |
LOG10X_CUSTOMER_METRICS_URL / _TYPE / _AUTH | Point at your own metrics backend (Prometheus, Grafana Cloud, Mimir, Thanos, AMP) for BYO-metrics setups. |
DD_API_KEY / DD_APP_KEY / DD_SITE | Datadog credentials for backfilling per-pattern metrics into Datadog. |
PROMETHEUS_REMOTE_WRITE_URL / PROMETHEUS_URL | Prometheus endpoints for backfilling and reading per-pattern series. |
__SAVE_LOG10X_RETRIEVER_URL__ / __SAVE_LOG10X_RETRIEVER_BUCKET__ | Retriever query endpoint and the bucket it indexes, for fetch-back. Both are needed; log10x_retriever_register sets the same pair. A Lambda function URL is signed with your AWS credentials. |
__SAVE_LOG10X_RETRIEVER_TARGET__ | Default target app prefix for fetch-back queries, e.g. app. |
LOG10X_RETRIEVER_LOG_GROUP | CloudWatch log group the Retriever writes query events to, the value of its TENX_QUERY_LOG_GROUP. With it, a zero-result query says which stage matched nothing. |
LOG10X_RETRIEVER_TIMEOUT_MS / LOG10X_RETRIEVER_POLL_MS | Fetch-back query timeout (default 90000) and poll interval (default 1500). |
LOG10X_RETRIEVER_AUTH_HEADER / LOG10X_RETRIEVER_AUTH_VALUE | Override the fetch-back auth header (defaults derive from the active environment). |
LOG10X_OFFLOAD_BUCKET / LOG10X_STREAMER_BUCKET | S3 bucket names the offload tools manage. |
TENX_LICENSE_KEY | Engine license key. Passed through to the engine on both the compile path and the local-engine run path (log10x_resolve_batch, log10x_extract_templates), in docker mode as well as local mode. In docker mode, a key the engine rejects is withheld on an automatic retry so the run falls back to the image's built-in limited license rather than failing; the downgrade is logged on the server's stderr. |
OTEL_EXPORTER_OTLP_ENDPOINT | Sends the server's own tool-call traces to an OTLP endpoint. The OpenTelemetry SDK is an optional peer and is not installed with the package: install @opentelemetry/sdk-node, @opentelemetry/exporter-trace-otlp-http and @opentelemetry/resources beside it, or tracing stays off and the server says so on stderr. |
TENX_LICENSE_FILE | Path to an engine license file, the alternative to TENX_LICENSE_KEY. Read by the engine itself, so it must name a path the engine process can see (inside the container when the engine runs in docker). |
LOG10X_TENX_MODE | local or docker for the local-engine and compile tools. Unset auto-detects: a tenx on PATH wins, docker is the fallback. Set docker to run the engine image instead of a local install, which is also the escape when a local tenx has no license. |
LOG10X_TENX_PATH | Path to the local tenx binary (used when the resolved mode is local). Defaults to tenx on PATH. |
LOG10X_RUNTIME_IMAGE | Engine image for the run path in docker mode (default log10x/pipeline-10x:latest). Accepts the alias native, which selects the GraalVM-native log10x/edge-10x. |
LOG10X_TENX_IMAGE | Engine image shared by the run path and, as a fallback, log10x_compile. A runtime-flavor image here is refused on the compile path. |
LOG10X_COMPILER_IMAGE | Compiler image for log10x_compile / log10x_compile_link (default log10x/compiler-10x:1.1.136 pinned by digest, so every run goes through the same compiler; set it to :latest to track releases; falls back to LOG10X_TENX_IMAGE when unset). Only the compiler flavor can build a symbol library. |
LOG10X_GH_REPO / LOG10X_GITOPS_REPO_PATH | GitHub repo and local path for GitOps-aware config tools. |
10x keeps logs queryable without paying to index everything. The Receiver ships budget-overflow noise to your own S3, and the Retriever fetches those exact events back on demand when you need them. log10x_offload_add and log10x_retriever_register wire up the offload-and-fetch path; log10x_backfill_metric pushes per-pattern volume and cost series into your existing Datadog or Prometheus so the cost views light up alongside the rest of your dashboards.
The server runs locally as a subprocess of your AI client. Only pre-aggregated metric queries (per-pattern volume and cost) leave the machine, never raw log content. Local triage with log10x_resolve_batch runs entirely on your machine over stdin and stdout. Connections to your own log platform use read-only credentials. Set LOG10X_MCP_READ_ONLY=true to refuse every mutating tool regardless of mode.
For an evaluation that has to be checkable rather than promised: MCP server and log engine in one container started with --network none, over a log sample you exported yourself with your own credentials.
docker run -i --rm --pull=never --network none --hostname localhost \
--cap-drop ALL --security-opt no-new-privileges \ -v "$PWD/poc/logs:/data:ro" -v "$PWD/poc/out:/out" \ -e TENX_LICENSE_KEY -e TENX_AIRGAPPED=true log10x/poc:local
There is no npx variant of this line, and that is not an oversight. npx resolves and executes a packag
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요