Read-only Loggly search and analytics with aggregation-first traffic tools and IP intelligence.
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.
For efficient log retrieval (less token use) and summarization, pair this server with a skill.
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"
}
}
}
}
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.
The server loads .env from its working directory on startup.
LOGGLY_SUBDOMAINyour-subdomain or https://your-subdomain.loggly.com)LOGGLY_TOKENLOGGLY_AUTH_MODEbearer (default) or basicLOGGLY_MAX_RETRIES2LOGGLY_REQUEST_TIMEOUT_MS15000LOGGLY_LOG_LEVELerror, warn, info (default), or debugFor 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. 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.
Each org member adds the remote server once:
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.
docker build -t loggly-mcp .
docker run -d --name loggly-mcp -p 8787:8787 --env-file .env loggly-mcp
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.
account is omitted, the server uses LOGGLY_DEFAULT_ACCOUNT if set, otherwise "default",
otherwise the single configured account if there's only one.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".
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:
discovered_fields in the result.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.host, path, status, user_agent, ip).Run list_fields yourself if you want to see every candidate before deciding on an override.
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.
Logs are written to stderr to avoid interfering with MCP stdio traffic.
Use LOGGLY_LOG_LEVEL to control verbosity. Default is info.
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 metadata is stored in tool-manifest.json and verified against src/server.js.
npm run verify:manifest
Smoke test runs without Loggly credentials by setting LOGGLY_SMOKE_TEST=1.
npm run smoke
Low-level Loggly API wrappers:
connection_testcreate_searchget_eventssearch_and_get_eventsiterate_events_pageiterate_events_nextcount_eventsvolume_metricsstats_querylist_fieldsfield_facetsraw_api_callAggregation-first traffic tools:
search_logstraffic_by_iptraffic_by_hosttraffic_by_pathgroup_by_ipgroup_by_pathgroup_by_user_agenttimelinesample_eventsIP intelligence:
rdap_lookupip_reputationget_ip_contextExample tool argument payloads are in examples/.
npm test
npm test runs manifest verification and the smoke test. CI runs the same checks in .github/workflows/ci.yml.
VERSION contains the current release version.CHANGELOG.md tracks changes by release..env files must never be committed.LOGGLY_TOKEN, LOGGLY_ACCOUNTS, GREYNOISE_API_KEY,
ABUSEIPDB_API_KEY, MCP_BEARER_TOKEN) are treated as secrets./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.Source-derived launch command. Check the maintainer’s required arguments and credentials before running:
npx -y @andrewbabu/loggly-mcpMerge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.
{
"mcpServers": {
"io-github-andrewbabu-loggly-mcp": {
"command": "npx",
"args": [
"-y",
"@andrewbabu/loggly-mcp"
]
}
}
}Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.
Claude Desktop setup reference@andrewbabu/loggly-mcpnpmio.github.andrewbabu/loggly-mcp works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.
~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.~/.cursor/mcp.jsonRestart Cursor for changes to take effect..vscode/mcp.jsonReload VS Code window for changes to take effect.~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect..mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.