Logs Sieve
БесплатноНе проверенA Model Context Protocol (MCP) server that enables AI assistants to efficiently filter and analyze Cloud Platform logs by specific prefixes and patterns.
Описание
A Model Context Protocol (MCP) server that enables AI assistants to efficiently filter and analyze Cloud Platform logs by specific prefixes and patterns.
README
npm version npm downloads CI license mcp-server-logs-sieve MCP server mcp-server-logs-sieve MCP server
mcp-server-logs-sieve is an MCP server that lets AI assistants query logs directly from your observability backend.
Ask debugging questions in plain language, and let Logs Sieve pull the exact logs and context for you.
Why this exists
During incidents, a lot of time goes into repetitive steps:
- finding the right log source
- narrowing the time window
- spotting recurring failure patterns
- following one trace across services
Logs Sieve packages those workflows into four tools: query_logs, summarize_logs, trace_request, and list_log_sources.
Supported providers
- Google Cloud Logging (
gcp) - AWS CloudWatch Logs (
aws) - Azure Monitor Logs (
azure) - Grafana Loki (
loki) - Elasticsearch (
elasticsearch)
Prerequisites
⚠️ Node.js 20 or above is required.
This package uses ES modules and dependencies that need Node.js 20+. If you see
ERR_MODULE_NOT_FOUNDerrors, check your Node version withnode -vand upgrade if needed.This applies whether you run via
npx, install globally, or use from source.
Quick MCP config
Example .mcp.json:
{
"mcpServers": {
"logs-sieve": {
"command": "npx",
"args": ["-y", "mcp-server-logs-sieve@latest", "--provider", "gcp"]
}
}
}
If you are running from this repo source directly, you can still use node ./bin/mcp-server-logs-sieve.js --provider gcp.
First-time setup: On first use, npx needs to download and install the package (~40s). Claude Code may time out waiting for this. Run the following once in your terminal to prime the cache before adding it to your MCP config:
npx mcp-server-logs-sieve@latest --provider gcp
# (Ctrl+C once it starts — you just need the install to complete)
After that, Claude Code will start the server instantly from the npx cache.
After updating config, restart your MCP client and confirm with /mcp.
Provider auth and env vars
See provider-specific setup and auth docs:
For Elasticsearch API compatibility headers:
export ELASTICSEARCH_COMPAT_VERSION=8
CLI usage
The package also includes a CLI for direct terminal usage:
mcp-server-logs-sieve query --provider gcp --scope my-project --last 1h --filter "payment failed"
mcp-server-logs-sieve summarize --provider gcp --scope my-project --last 24h
mcp-server-logs-sieve trace --provider gcp --scope my-project --trace <trace-id>
mcp-server-logs-sieve sources --provider gcp --scope my-project
Documentation
- Docs home
- Getting started
- MCP client setup (Claude Code, Claude Desktop, Cursor, Windsurf)
- Tool reference
- Troubleshooting
- Compatibility matrix
Contributing
Contributions are welcome.
Установка Logs Sieve
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/Oluwatunmise-olat/mcp-server-logs-sieveFAQ
Logs Sieve MCP бесплатный?
Да, Logs Sieve MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Logs Sieve?
Да, требуются переменные окружения: ELASTICSEARCH_COMPAT_VERSION. Unyly подставит их в конфиг при установке.
Logs Sieve — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Logs Sieve в Claude Desktop, Claude Code или Cursor?
Открой Logs Sieve на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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