Loggly Mcp

io.github.andrewbabuv1.3.0更新於 Oct 3, 2026

Read-only Loggly search and analytics with aggregation-first traffic tools and IP intelligence.

概覽

AI 產生的概覽

唯讀的 Loggly 日誌搜尋與分析,提供以聚合為主的流量摘要與 IP 情報查詢。

功能
包裝 Loggly 的 /apiv2 端點進行唯讀日誌作業:建立搜尋、取得與翻頁事件、計數、volume metrics、stats 查詢、欄位清單與欄位分面。聚合優先工具(search_logs、traffic_by_ip、traffic_by_host、traffic_by_path、group_by_*、timeline、sample_events)回傳總量、Top-N 分佈、分桶時間軸與少量樣本,而非原始事件傾印。IP 情報工具提供 RDAP 歸屬查詢、GreyNoise 與 AbuseIPDB 信譽檢查,以及 get_ip_context,後者結合這些資料與各已設定帳號的 Loggly 流量計數。寫入類端點會被阻擋。
適用情境
適合讓助理排查日誌、彙整流量模式或研判可疑 IP,而不必把原始事件傾印塞進上下文。適用於事件應變、機器人流量研判與 Loggly 帳號的日常日誌分析。
執行需求
透過 npm 套件 @andrewbabu/loggly-mcp 以 stdio 在本機執行(需要 Node.js 與 npx)。需要 LOGGLY_SUBDOMAIN 與密鑰 LOGGLY_TOKEN;選用的 LOGGLY_ACCOUNTS 可設定多個帳號。IP 信譽需要 GREYNOISE_API_KEY 與 ABUSEIPDB_API_KEY。選用的 HTTP 版本需要 MCP_BEARER_TOKEN,並應置於內網或 VPN 之後。
安裝前請注意
LOGGLY_TOKEN、LOGGLY_ACCOUNTS、GREYNOISE_API_KEY、ABUSEIPDB_API_KEY 與 MCP_BEARER_TOKEN 都是密鑰,不得提交到版本庫。此伺服器對 Loggly 為唯讀,但 IP 情報呼叫會把查詢的 IP 傳送給 RDAP、GreyNoise 與 AbuseIPDB。HTTP 版本所有使用者共用一個權杖,應僅在內網使用,外洩後立即輪換。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Loggly Mcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Loggly MCP

[loggly-mcp MCP server – quality and maintenance score on Glama]

Read-only Model Context Protocol (MCP) server for Loggly /apiv2/* APIs, plus IP intelligence (RDAP, GreyNoise, AbuseIPDB). Exposes Loggly search/analytics/field tools, aggregation-first traffic tools, and IP-context tools, while blocking write endpoints.


Skill Usage

For efficient log retrieval (less token use) and summarization, pair this server with a skill.


Quickstart

Install from npm

bash
LOGGLY_SUBDOMAIN=your-subdomain LOGGLY_TOKEN=your-token npx -y @andrewbabu/loggly-mcp

MCP client configuration:

json
{  "mcpServers": {    "loggly": {      "command": "npx",      "args": ["-y", "@andrewbabu/loggly-mcp"],      "env": {        "LOGGLY_SUBDOMAIN": "your-subdomain",        "LOGGLY_TOKEN": "your-token"      }    }  }}

Run from source

bash
git clone https://github.com/andrewbabu/loggly-mcp.gitcd loggly-mcpnpm installcp .env.example .env

Edit .env with your Loggly credentials, then run:

bash
npm start

Once the repo is trusted in Codex, the MCP server can also be started automatically via .codex/config.toml.


Configuration

The server loads .env from its working directory on startup.

Required

  • LOGGLY_SUBDOMAIN
    Loggly account subdomain or full Loggly URL (e.g. your-subdomain or https://your-subdomain.loggly.com)
  • LOGGLY_TOKEN
    Loggly API token

Optional

  • LOGGLY_AUTH_MODE
    bearer (default) or basic
  • LOGGLY_MAX_RETRIES
    Default: 2
  • LOGGLY_REQUEST_TIMEOUT_MS
    Default: 15000
  • LOGGLY_LOG_LEVEL
    error, warn, info (default), or debug

Remote (HTTP) Server

For a stdio server anyone on the team can reach from Claude Code without a local checkout, run the HTTP variant instead and host it on an internal server/VM.

bash
cp .env.example .env

Edit .env with your Loggly credentials plus MCP_BEARER_TOKEN (generate one with node -e "console.log(require('crypto').randomBytes(32).toString('hex'))"), then:

bash
npm run start:http

This starts a stateless Streamable HTTP MCP server on MCP_HTTP_PORT (default 8787):

  • GET /healthz — unauthenticated liveness check.
  • POST /mcp — the MCP endpoint. Requires Authorization: Bearer <MCP_BEARER_TOKEN>; every other request to /mcp gets 401.

The Loggly credentials stay server-side — everyone connecting shares the same Loggly account access. MCP_BEARER_TOKEN only gates access to the MCP server itself, so treat it as a secret and rotate it if it leaks (e.g. re-generate and redistribute).

Only run this behind your internal network/VPN, not exposed directly to the public internet — there's a single shared token, not per-user auth.

Connecting from Claude Code

Each org member adds the remote server once:

bash
claude mcp add --transport http loggly https://your-internal-host:8787/mcp \  --header "Authorization: Bearer <MCP_BEARER_TOKEN>"

Swap in the internal hostname/port you deployed to and the token you were given.

Running with Docker

bash
docker build -t loggly-mcp .docker run -d --name loggly-mcp -p 8787:8787 --env-file .env loggly-mcp

Multiple Accounts / Domains

The server can hold credentials for several Loggly accounts (different subdomains, different tokens) at once and target them per tool call.

Set LOGGLY_ACCOUNTS to a JSON object mapping an account name to its credentials:

bash
LOGGLY_ACCOUNTS={"acme":{"subdomain":"acme","token":"acme_token","authMode":"bearer"},"beta":{"subdomain":"beta","token":"beta_token"}}

When LOGGLY_ACCOUNTS is set, it replaces LOGGLY_SUBDOMAIN/LOGGLY_TOKEN/LOGGLY_AUTH_MODE. Every tool then accepts an optional account argument (e.g. account: "acme") to pick which account's credentials to use for that call.

  • If account is omitted, the server uses LOGGLY_DEFAULT_ACCOUNT if set, otherwise "default", otherwise the single configured account if there's only one.
  • An unknown account value returns an error listing the configured account names.
  • iterate_events_next can also infer the account from the next_url host when account is omitted, as long as exactly one configured account matches that host.

Existing single-account setups (just LOGGLY_SUBDOMAIN/LOGGLY_TOKEN) keep working unchanged — they're treated as one account named "default".


Aggregation-First Traffic Tools

Raw event dumps are slow and expensive to reason about. These tools return a summary — totals, top-N breakdowns, a bucketed timeline, and a small representative sample — instead:

  • search_logs — the general-purpose version: query + time range in, aggregated summary out.
  • traffic_by_ip / traffic_by_host / traffic_by_path — same aggregation, pre-scoped to one IP/hostname/path.
  • group_by_ip / group_by_path / group_by_user_agent — facet counts only (thin wrappers over field_facets), for when you just need a breakdown, not the full aggregate.
  • timeline — bucketed counts over a range, computed client-side via repeated /apiv2/events/count calls (Loggly's volume-metrics endpoint doesn't accept a free-text query, so this is the only way to get a timeline for an arbitrary search).
  • sample_events — a handful of representative raw events, when you need examples rather than the complete result set.

Field naming depends on how each Loggly source parses its logs, and can differ between accounts and even between tags within one account — so these tools resolve field names discovery-first: for any role not explicitly overridden (host_field/path_field/status_field/user_agent_field/ ip_field arguments, or the LOGGLY_FIELD_HOST/_PATH/_STATUS/_USER_AGENT/_IP env vars), they check /apiv2/fields/ for the actual query and match candidates against known role patterns:

  • Exactly one match → used automatically, reported under discovered_fields in the result.
  • Multiple plausible matches (e.g. a source with both ClientIp and CustIP) → never guessed between — reported under ambiguous_fields instead, falling back to the configured default. Pass the correct one explicitly via the matching *_field argument.
  • No match → falls back to the configured default (host, path, status, user_agent, ip).

Run list_fields yourself if you want to see every candidate before deciding on an override.


IP Intelligence

  • rdap_lookup — IP ownership/network registration (RIR, netblock, org, country) via public RDAP (rdap.org). No API key required.
  • ip_reputation — GreyNoise (internet-wide scanning noise) + AbuseIPDB (community abuse reports) for an IP. Requires GREYNOISE_API_KEY / ABUSEIPDB_API_KEY; either one missing just comes back as available: false for that source, not an error.
  • get_ip_context — combines all of the above with Loggly traffic (1h/24h/30d counts, first/last seen, hosts, top paths) checked across every configured Loggly account unless account is given, and flags cross_domain_correlation when the IP shows activity in more than one account. Per the bot-traffic-triage playbook, that cross-domain pattern is the single strongest signal for distinguishing targeted reconnaissance from background noise.

Treat all IP-intel output as one input among several — identity/reputation data (who owns an IP, third-party scanner reports) should carry less weight than behavioral evidence from your own logs. See the bot-traffic-triage skill for the full investigation methodology.


Logging

Logs are written to stderr to avoid interfering with MCP stdio traffic.
Use LOGGLY_LOG_LEVEL to control verbosity. Default is info.


Timeouts, Retries & Concurrency

Requests enforce a per-call timeout of LOGGLY_REQUEST_TIMEOUT_MS (default 15000).
Transient failures (429, 500 with timeout-like body, 503, 504, or network timeouts) are retried up to LOGGLY_MAX_RETRIES times, honoring a Retry-After header on 429 when Loggly sends one, falling back to exponential backoff otherwise.

The aggregation tools (search_logs, traffic_by_*, get_ip_context, etc.) fan out several requests per call via Promise.all (facets + timeline buckets + a sample). LOGGLY_MAX_CONCURRENT_REQUESTS (default 4) caps how many of those run at once per account, so that fan-out doesn't trip Loggly's own rate limit by itself. If you still see 429s from a single aggregation call, lower this; if Loggly's limit is more generous, raise it.


Tool Manifest

Tool metadata is stored in tool-manifest.json and verified against src/server.js.

bash
npm run verify:manifest

Smoke Test

Smoke test runs without Loggly credentials by setting LOGGLY_SMOKE_TEST=1.

bash
npm run smoke

Implemented MCP Tools

Low-level Loggly API wrappers:

  • connection_test
  • create_search
  • get_events
  • search_and_get_events
  • iterate_events_page
  • iterate_events_next
  • count_events
  • volume_metrics
  • stats_query
  • list_fields
  • field_facets
  • raw_api_call

Aggregation-first traffic tools:

  • search_logs
  • traffic_by_ip
  • traffic_by_host
  • traffic_by_path
  • group_by_ip
  • group_by_path
  • group_by_user_agent
  • timeline
  • sample_events

IP intelligence:

  • rdap_lookup
  • ip_reputation
  • get_ip_context

Examples

Example tool argument payloads are in examples/.


Development

bash
npm test

npm test runs manifest verification and the smoke test. CI runs the same checks in .github/workflows/ci.yml.


Versioning

  • VERSION contains the current release version.
  • CHANGELOG.md tracks changes by release.

Security Notes

  • .env files must never be committed.
  • Tokens and API keys (LOGGLY_TOKEN, LOGGLY_ACCOUNTS, GREYNOISE_API_KEY, ABUSEIPDB_API_KEY, MCP_BEARER_TOKEN) are treated as secrets.
  • This server enforces read-only access to Loggly /apiv2/* endpoints. IP-intel calls (RDAP/GreyNoise/AbuseIPDB) are read-only GET requests to those third-party services; no Loggly credentials are ever sent to them, and no IP-intel keys are sent to Loggly.

來源:README.md,提交 0115d59

工具

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版本歷史

1
  1. v1.3.0最新Oct 3, 2026