Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Rank log patterns by volume and cost, then compact, tier down or offload the excess over each cap
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
LOG10X_API_KEYLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"log10x": {
"command": "npx",
"args": [
"-y",
"log10x-mcp"
],
"env": {
"LOG10X_API_KEY": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add log10x --env LOG10X_API_KEY=your-value -- npx -y log10x-mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"log10x": {
"command": "npx",
"args": [
"-y",
"log10x-mcp"
],
"env": {
"LOG10X_API_KEY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"log10x": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"log10x-mcp"
],
"env": {
"LOG10X_API_KEY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub log-10x, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: LOG10X_API_KEY
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (1.30.99) llegó al registro anteayer.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Signoff
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo