Loggly MCP
Overview
Description from the maker (original English)
Read-only Loggly search and analytics with aggregation-first traffic tools and IP intelligence.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 51/wk · ★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Marketing & social media
- You need to fill in: LOGGLY_SUBDOMAIN, LOGGLY_TOKEN
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- You fill in yourself:
LOGGLY_SUBDOMAIN,LOGGLY_TOKEN
Values marked secret are keys to your account. Never share them or paste them into a chat.
You need
- npmNode.js installed (for the npx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"loggly": {
"command": "npx",
"args": [
"-y",
"@andrewbabu/loggly-mcp"
],
"env": {
"LOGGLY_SUBDOMAIN": "your-value",
"LOGGLY_TOKEN": "your-value"
}
}
}
}Run this in your terminal
claude mcp add loggly --env LOGGLY_SUBDOMAIN=your-value --env LOGGLY_TOKEN=your-value -- npx -y @andrewbabu/loggly-mcpFill in the empty values before running it.
Or copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"loggly": {
"command": "npx",
"args": [
"-y",
"@andrewbabu/loggly-mcp"
],
"env": {
"LOGGLY_SUBDOMAIN": "your-value",
"LOGGLY_TOKEN": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"loggly": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@andrewbabu/loggly-mcp"
],
"env": {
"LOGGLY_SUBDOMAIN": "your-value",
"LOGGLY_TOKEN": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
Values you fill in
- Loggly account subdomain or full Loggly URL (e.g. your-subdomain or https://your-subdomain.loggly.com).
- Loggly API token (read access).
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account andrewbabu, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Marketing & social mediai
- More stars than 0% of the other 3632 servers in this category
- Published to the registry more recently than 45% of the other 3632 servers in this category
- Basic checks equal to or better than 100% of the other 3632 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Loggly MCP safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
You need to fill in: LOGGLY_SUBDOMAIN, LOGGLY_TOKEN
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.3.0) reached the registry 36 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Google Analytics MCP
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
BibiGPT YouTube Video Summarizer
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Loggly MCP
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
LOGGLY_SUBDOMAIN=your-subdomain LOGGLY_TOKEN=your-token npx -y @andrewbabu/loggly-mcp
MCP client configuration:
{
"mcpServers": { "loggly": { "command": "npx", "args": ["-y", "@andrewbabu/loggly-mcp"], "env": { "LOGGLY_SUBDOMAIN": "your-subdomain", "LOGGLY_TOKEN": "your-token" } } } }
Run from source
git clone https://github.com/andrewbabu/loggly-mcp.git
cd loggly-mcp npm install cp .env.example .env
Edit .env with your Loggly credentials, then run:
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_SUBDOMAINLoggly account subdomain or full Loggly URL (e.g.your-subdomainorhttps://your-subdomain.loggly.com)LOGGLY_TOKENLoggly API token
Optional
LOGGLY_AUTH_MODEbearer(default) orbasicLOGGLY_MAX_RETRIESDefault:2LOGGLY_REQUEST_TIMEOUT_MSDefault:15000LOGGLY_LOG_LEVELerror,warn,info(default), ordebug
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.
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:
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. RequiresAuthorization: Bearer; every other request to/mcpgets401.
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:
claude mcp add --transport http loggly https://your-internal-host:8787/mcp \
--header "Authorization: Bearer "
Swap in the internal hostname/port you deployed to and the token you were given.
Running with Docker
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:
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
accountis omitted, the server usesLOGGLY_DEFAULT_ACCOUNTif set, otherwise"default", otherwise the single configured account if there's only one. - An unknown
accountvalue returns an error listing the configured account names. iterate_events_nextcan also infer the account from thenext_urlhost whenaccountis 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 overfield_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/countcalls (Loggly'svolume-metricsendpoint 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_fieldsin the result. - Multiple plausible matches (e.g. a source with both
ClientIpandCustIP) → never guessed between — reported underambiguous_fieldsinstead, falling back to the configured default. Pass the correct one explicitly via the matching*_fieldargument. - 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. RequiresGREYNOISE_API_KEY/ABUSEIPDB_API_KEY; either one missing just comes back asavailable: falsefor 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 unlessaccountis given, and flagscross_domain_correlationwhen the IP shows activity in more than one account. Per thebot-traffic-triageplaybook, 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.
npm run verify:manifest
Smoke Test
Smoke test runs without Loggly credentials by setting LOGGLY_SMOKE_TEST=1.
npm run smoke
Implemented MCP Tools
Low-level Loggly API wrappers:
connection_testcreate_searchget_eventssearch_and_get_eventsiterate_events_pageiterate_events_nextcount_eventsvolume_metricsstats_querylist_fieldsfield_facetsraw_api_call
Aggregation-first traffic tools:
search_logstraffic_by_iptraffic_by_hosttraffic_by_pathgroup_by_ipgroup_by_pathgroup_by_user_agenttimelinesample_events
IP intelligence:
rdap_lookupip_reputationget_ip_context
Examples
Example tool argument payloads are in examples/.
Development
npm test
npm test runs manifest verification and the smoke test. CI runs the same checks in .github/workflows/ci.yml.
Versioning
VERSIONcontains the current release version.CHANGELOG.mdtracks changes by release.
Security Notes
.envfiles 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.