yokozuna-mcp

<img src="https://raw.githubusercontent.com/mbe24/yokozuna-mcp/main/assets/logo.png" alt="yokozuna-mcp logo: a levitating, meditating sumo inside an enso circle, orbited by log lines" width="160" align="right">

An MCP (Model Context Protocol) server that gives coding agents (Claude Code, Claude Desktop, …) programmatic access to Sumo Logic logs via the Search Job API — so issues in preview deployments and production can be found and triaged without leaving the editor.

• Transport: stdio (local, per-developer; credentials via env vars)
• Deployment default: EU (api.eu.sumologic.com), configurable
• Token-economical by default: lean output with explicit levers (detail, fields, dedupe), bulk data goes to files instead of your context window

This README is self-sufficient: following it top-to-bottom from a checkout of this repo yields a working, registered MCP server.

Prerequisites

• Node.js >= 20 (node --version to check) and npm. Node 20+ is required for the built-in fetch and for node --env-file.
• A Sumo Logic Enterprise account (the Search Job API is Enterprise-only).
• A Sumo Logic access ID / access key pair, ideally for a dedicated read-only service account whose role has these capabilities:
  • Data Management → Download Search Results
  • Data Management → View Collectors
  • optionally Alerting → View Monitors (only needed for sumo_list_monitors)
  • plus search access to the indexes/partitions holding your preview & prod logs.
• Know your deployment region (e.g. eu). If unsure, start with eu — a wrong region produces an HTTP 301 error that names the correct one (see Troubleshooting).

Step 1 — Install and build

Once the package is published to the npm registry, no checkout is needed — npx yokozuna-mcp fetches and runs it directly (see launch form 4 in Step 4). Until then (or to run from source), build locally from this repo:

cd <path-to-this-repo>      # e.g. C:/Users/you/Development/yokozuna
npm install
npm run build

The build produces dist/index.js (the server entry point). Note its absolute path (e.g. C:/Users/you/Development/yokozuna/dist/index.js) — you need it for client config.

Optionally, put a yokozuna-mcp binary on your PATH (enables launch form 3 below):

npm link

Step 2 — Provide credentials (environment variables)

IMPORTANT: the server does NOT read a .env file by itself. Environment variables must reach the server process via one of:

1. the env block of your MCP client config (recommended — see Step 4),
2. exported shell variables, or
3. node --env-file=.env dist/index.js (Node's built-in flag; used by the smoke test below). Copy .env.example to .env and fill in the two required values for this.

Var	Required	Default	Notes
SUMO_ACCESS_ID	yes	—	Access ID.
SUMO_ACCESS_KEY	yes	—	Access key. Never logged or echoed.
SUMO_DEPLOYMENT	no	eu	One of au,ca,ch,de,eu,fed,in,jp,kr,us1,us2.
SUMO_ENDPOINT	no	derived	Explicit API base URL override (e.g. https://api.eu.sumologic.com/api/); accepts host with/without /api/; https only. Takes precedence over SUMO_DEPLOYMENT.
SUMO_UI_BASE_URL	no	service.<code>.sumologic.com	UI origin for "open in Sumo UI" deep links only (not the API). Set to your company host, e.g. https://<org>.<deployment>.sumologic.com, so links match your actual UI.
SUMO_DEFAULT_TIMEZONE	no	UTC	IANA tz used when a tool call omits timeZone.
SUMO_DEFAULT_SOURCE_CATEGORY	no	—	Embedded into tool descriptions as the recommended query prefix. Queries are never mutated.
YOKOZUNA_EXPORT_DIR	no	OS temp dir	Where sumo_export_results writes NDJSON files.
YOKOZUNA_DEFAULT_DETAIL	no	compact	summary | compact | full | raw.
YOKOZUNA_DEFAULT_LIMIT	no	100	Default inline result limit.
YOKOZUNA_MAX_MESSAGE_CHARS	no	10000	Safety cap for the message field.
YOKOZUNA_LEVEL_EXPR	no	log.levelname	JSON path (inside _raw) of the log level — used by detail: "summary" side-aggregates, sumo_error_digest, and the levelname facet.
YOKOZUNA_SETTLE_MARGIN_SECONDS	no	180	sumo_new_since freshness lag: poll windows end at now − margin so late-arriving logs are never skipped (complete but that many seconds stale).
YOKOZUNA_FACET_DIMENSIONS	no	_sourcecategory,_sourcehost,levelname,status,path	Default sumo_facets dimensions (comma-separated). _-prefixed = native fields; anything else is parsed as log.<dimension>.
YOKOZUNA_MAX_RESPONSE_CHARS	no	200000	Whole-response safety cap (chars) for inline tool results. Oversized responses are tail-truncated with a pointer to sumo_export_results; header/count lines come first and always survive.
YOKOZUNA_KEEPALIVE_IDLE_MINUTES	no	10	Minutes a kept job (sumo_create_search_job / keepJob: true) may sit idle before the server deletes it. Any access (status/messages/records) resets the timer.
YOKOZUNA_KEEPALIVE_MAX_JOBS	no	20	Max jobs the keepalive tracks at once; beyond the cap the stalest job is evicted (logged to stderr with the job id) and left to expire server-side.

See .env.example for a commented template. Never commit a filled-in .env.

Step 3 — Smoke-test the server (optional but recommended)

With a filled-in .env in the repo root, this sends a real MCP handshake plus tools/list over stdio and exits. Expect a tools array with 12 tools on stdout and only [yokozuna-mcp] server started (stdio) on stderr.

bash / Git Bash:

printf '%s\n' \
 '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"smoke","version":"0"}}}' \
 '{"jsonrpc":"2.0","method":"notifications/initialized"}' \
 '{"jsonrpc":"2.0","id":2,"method":"tools/list"}' \
 | node --env-file=.env dist/index.js

PowerShell:

@'
{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"smoke","version":"0"}}}
{"jsonrpc":"2.0","method":"notifications/initialized"}
{"jsonrpc":"2.0","id":2,"method":"tools/list"}
'@ | node --env-file=.env dist/index.js

If instead the process exits immediately with Missing required environment variable(s), the env vars did not reach the process — see Step 2.

Step 4 — Register in an MCP client

Three equivalent local launch forms (all require Step 1 first):

1. Direct node (most explicit): "command": "node", "args": ["<abs>/dist/index.js"]
2. npx with a local path (no registry involved): "command": "npx", "args": ["<abs-project-dir>"]
3. Linked bin (after npm link): "command": "yokozuna-mcp" or "command": "npx", "args": ["yokozuna-mcp"]

Plus one registry form (works once the package is published to npm — no checkout or build needed):

4. npx from the registry: "command": "npx", "args": ["-y", "yokozuna-mcp"]

On Windows, use forward slashes (C:/Users/...) or escaped backslashes (C:\\Users\\...) in JSON — never single backslashes.

Claude Code

One command (replace the path and credentials):

claude mcp add yokozuna --env SUMO_ACCESS_ID=suXXXX --env SUMO_ACCESS_KEY=<key> --env SUMO_DEPLOYMENT=eu -- node C:/Users/you/Development/yokozuna/dist/index.js

By default this registers for the current project only; add --scope user to make it available in every project. Alternatively, create/extend .mcp.json in the root of the project where you want to use it (shared, project scope):

{
  "mcpServers": {
    "yokozuna": {
      "command": "node",
      "args": ["C:/Users/you/Development/yokozuna/dist/index.js"],
      "env": {
        "SUMO_ACCESS_ID": "suXXXX",
        "SUMO_ACCESS_KEY": "<key>",
        "SUMO_DEPLOYMENT": "eu"
      }
    }
  }
}

Verify with claude mcp list — yokozuna should show as connected. In a Claude Code session, /mcp shows the server, its 12 tools, and the triage prompt (available as /mcp__yokozuna__triage).

Do not commit a .mcp.json containing the real access key to a shared repo — prefer claude mcp add (local scope) or user-level config for real credentials.

Claude Desktop

Edit claude_desktop_config.json (create it if missing):

• Windows: %APPDATA%\Claude\claude_desktop_config.json
• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

The npx <local-path> or linked-bin forms avoid brittle absolute dist paths:

{
  "mcpServers": {
    "yokozuna": {
      "command": "npx",
      "args": ["C:\\Users\\you\\Development\\yokozuna"],
      "env": {
        "SUMO_ACCESS_ID": "suXXXX",
        "SUMO_ACCESS_KEY": "<key>",
        "SUMO_DEPLOYMENT": "eu"
      }
    }
  }
}

Then fully quit and restart Claude Desktop (system-tray quit on Windows, Cmd-Q on macOS — closing the window is not enough). The tools appear under the tools icon in the chat input.

Tools

Tool	Purpose	Key inputs
sumo_run_search	Workhorse. Create job → wait → fetch first N results → auto-delete. One call for the common case.	query, time range, limit (≤5000), detail, fields, dedupe, sort, format, extract, keepJob
sumo_create_search_job	Primitive: create only, returns the job id (kept alive by the server in the background).	query, time range
sumo_get_search_job_status	Primitive: poll state/counts.	id
sumo_get_messages	Primitive: page raw messages (non-aggregate jobs).	id, offset, limit (≤10000), detail, fields, sort, …
sumo_get_records	Primitive: page aggregate records (aggregate jobs).	id, offset, limit (≤10000), format
sumo_delete_search_job	Primitive: delete a job (idempotent; already-gone is OK).	id
sumo_export_results	Run a search and stream all results (up to 100k) to an NDJSON file; returns the path, not the payload. Lines are chronological (oldest→newest by _messagetime; the server appends | sort by _messagetime asc to non-aggregate queries — a PARTIAL/timed-out export may not be fully ordered).	query, time range, maxMessages, extract
sumo_facets	See the shape first: one count by aggregate per dimension (concurrent, auto-deleted), ranked top-N table each. _-prefixed dims are native fields; others parse log.<dim> from _raw. One failing dimension = an error line, never a total failure.	query, time range, dimensions, limit (top-N per dim, default 15)
sumo_error_digest	One-call triage: filter to ERROR/WARNING (via YOKOZUNA_LEVEL_EXPR), group by normalized signature, return top-N with count, first/last seen, a sample request_id, and _sourcecategory.	query (default _sourcecategory=<SUMO_DEFAULT_SOURCE_CATEGORY>), time range, levels, limit, maxScan (default 5000)
sumo_new_since	Stateless monitoring cursor: returns messages that arrived since the last call plus a cursor=<epoch ms> line; pass it back as since for contiguous, gap-free windows. byReceiptTime forced true; aggregate queries rejected.	query, since (cursor), lookback (baseline, default "15m"), limit, detail/fields/dedupe/sort/format
sumo_trend	See when things happened: | timeslice counts per bucket split into series (default: log level via YOKOZUNA_LEVEL_EXPR), rendered as one sparkline + per-bucket counts per series. One aggregate job, auto-deleted.	query (plain scope, no | aggregates), time range, interval (default auto ≤40 buckets), by (levelname | _native field | none | log.<field> name), maxSeries (default 8)
sumo_list_monitors	Read-only list of the org's native Sumo Monitors (24/7 prod alerting): name, folder path, type, enabled/disabled, current status, trigger types, notification destinations. Requires the View Monitors capability (clear error otherwise); no search jobs involved.	query (name/content filter), limit (default 100)

Time range (all search tools): exactly one of last ("15m", "2h", "1d"; units s/m/h/d) or both from+to (ISO-8601 like 2026-07-02T18:28:00, or epoch ms). Optional timeZone (IANA) and byReceiptTime (recommended true for very recent windows).

Example sumo_run_search call (the common case):

{
  "query": "_sourcecategory=kubernetes/myservice/*/backend \"myservice-preview.dev.example.com\"",
  "last": "15m",
  "byReceiptTime": true,
  "detail": "compact",
  "limit": 100
}

Example sumo_export_results call (bulk to file, not to context; the file comes out oldest→newest so a coding agent can read it as a chronological trace):

{
  "query": "_sourcecategory=kubernetes/myservice/*/backend | json field=_raw \"log.levelname\" as levelname nodrop | where levelname in (\"ERROR\",\"WARNING\")",
  "last": "2h"
}

The optional extract parameter (also on sumo_run_search) pulls extra JSON fields out of _raw without hand-writing the clauses — {"status": "log.status"} appends | json field=_raw "log.status" as status nodrop server-side (one chained clause per field — the comma multi-extract form is broken in Sumo). Aliases must be simple identifiers; non-aggregate queries only.

Example sumo_trend call (when did it start/spike? — one sparkline per level):

{
  "query": "_sourcecategory=kubernetes/myservice/*/backend",
  "last": "2h",
  "byReceiptTime": true
}

trend by levelname: 2026-07-03T16:00:00.000Z .. 2026-07-03T18:00:00.000Z, interval=5m, buckets=24 (…)
INFO     total=53210  ▅▅▆▅▅▅▄▅▅█▅▅▅▄▅▅▅▅▅▅▄▅▅▅  [2226 2221 …]
ERROR    total=12     ▁▁▁▁▁▁▁▁▁█▁▁▂▁▁▁▁▁▁▁▁▁▁▁  [0 0 …]

interval defaults to the smallest nice step (10s…1d) giving ≤40 buckets; by accepts levelname (default; parsed via YOKOZUNA_LEVEL_EXPR), a _native field (e.g. _sourcecategory), any log.<field> name (e.g. status), or none for one total series.

Example sumo_facets call (see the shape before reading messages — where do matching logs come from, which levels/statuses/paths dominate):

{
  "query": "_sourcecategory=kubernetes/myservice/backend",
  "last": "30m",
  "byReceiptTime": true
}

Default dimensions: _sourcecategory, _sourcehost, levelname, status, path (override per call with dimensions, or globally with YOKOZUNA_FACET_DIMENSIONS). Each dimension is one small concurrent aggregate job, auto-deleted; a dimension that fails renders as an error line without failing the rest.

Example sumo_error_digest call (deduplicated "what is broken" summary — counts, first/last occurrence, and a sample request_id per distinct problem):

{
  "query": "_sourcecategory=kubernetes/myservice/*/backend",
  "last": "2h",
  "levels": ["ERROR", "WARNING"],
  "limit": 20
}

Omit query to fall back to _sourcecategory=<SUMO_DEFAULT_SOURCE_CATEGORY>. The level filter is appended automatically (parsing YOKOZUNA_LEVEL_EXPR, default log.levelname) — pass only the scope, no | operators.

Example sumo_new_since polling loop (stateless monitoring — e.g. "tell me when new errors show up in the preview deployment"):

1. First call — baseline (no since):

   { "query": "_sourcecategory=kubernetes/myservice/*/backend \"myservice-preview.dev.example.com\"", "lookback": "15m" }
   

   The response starts with a header plus a cursor line like cursor=1783017420000.

2. Every following call passes the last cursor as since:

   { "query": "_sourcecategory=kubernetes/myservice/*/backend \"myservice-preview.dev.example.com\"", "since": 1783017420000 }
   

   Windows are half-open [since, now − settle margin) over receipt time (byReceiptTime is forced), so consecutive calls tile with no gaps and no duplicates — the server keeps no state; the cursor in your hand is everything.

   Freshness note: results trail real time by the settle margin (default 180 s, YOKOZUNA_SETTLE_MARGIN_SECONDS) so logs that arrive late are not skipped — complete but ~3 minutes stale. Polling faster than the margin just returns a "not settled yet" note with the cursor unchanged (no job is created).

   In Claude Code this pairs well with /loop, e.g.: /loop 5m check sumo_new_since for new backend errors (keep passing the returned cursor as since) and summarize anything new. Aggregate queries (| count …) are rejected — use sumo_run_search for those.

Example primitive flow (only needed when paging beyond one call): sumo_create_search_job {"query": "...", "last": "1h"} → returns id=XXX → sumo_get_search_job_status {"id": "XXX"} until DONE GATHERING RESULTS → sumo_get_messages {"id": "XXX", "offset": 0, "limit": 100} (or sumo_get_records for aggregate queries) → sumo_delete_search_job {"id": "XXX"} when done.

Successful searches include a Sumo UI deep link (https://service.eu.sumologic.com/log-search/create?...) to open the same query in the browser.

sumo_list_monitors (read-only) lists the org's native Sumo Monitors for discovering what 24/7 prod alerting already exists — name, folder path, type, enabled/disabled, current status, trigger types, and notification destinations. It needs the View Monitors capability on the access key and creates no search jobs.

MCP prompt: triage

The server also registers a triage MCP prompt (in Claude Code: /mcp__yokozuna__triage, with an optional problem argument). It encodes the recommended workflow — shape first (sumo_facets/sumo_trend/detail:"summary") → narrow (sumo_error_digest, then compact reads) → trace (quoted request_id, no other filters) → bulk export — plus the full query cookbook (severity filtering via log.levelname, the hostname-keyword caveat, noise exclusion, extract, and byReceiptTime). The cookbook lives in the prompt rather than in every tool description to keep per-call token cost down.

Token economy

Log messages are huge (~33 metadata fields + a nested JSON log object). The tools are lean by default and give the agent explicit levers:

• detail — summary (exact whole-job per-level counts via a side aggregate, compact histogram sparkline, top message signatures; sections computed from the fetched page are labeled — sample — cheapest) · compact (default: timestamp, level, request_id, _sourcecategory, the full message, plus method/path/status when present on request logs) · full (compact + duration_s/logger/client_ip) · raw (verbatim _raw — returns logs exactly as the application emitted them, including anything sensitive the app logged).
• fields — explicit projection from the flattened namespace (level/request_id are always kept for cross-referencing).
• dedupe — group repeated messages globally by (level, normalized signature): timestamps, UUIDs, hex runs and numbers are normalized away, so the same log statement with varying values collapses into first_ts..last_ts LEVEL ×N message.
• sort — asc (default: oldest→newest, best for tracing) or desc by _messagetime. Client-side: it orders only the returned result set — raise limit or narrow the query for full ordering. Not applicable to aggregate records.
• maxMessageChars — safety cap only; message is never truncated by default.
• limit — inline max 5000; anything bulk belongs in sumo_export_results (file, not context).
• Whole-response cap — independent of the levers above, no inline response exceeds YOKOZUNA_MAX_RESPONSE_CHARS (default 200k chars): the tail is truncated with a note pointing at narrowing or sumo_export_results. Header/count/cursor lines come first in every tool's output, so they survive truncation.

Recommended triage pattern: detail:"summary" to see the shape → narrow the query → compact to read messages → full/raw on the few that matter → sumo_export_results when a coding agent should chew through everything.

Example queries (the real workflow)

How to scope a search (read this first). Free-text terms match the raw log text (_raw), so guessing at source-code identifiers — Java/Python class names, function names — is unreliable and usually matches nothing. Scope and filter using these instead:

• Where: _sourcecategory=<path> (e.g. kubernetes/myservice/*/backend) — the primary scoping dimension. Discover categories from the [in brackets] in any result line, or with | count by _sourcecategory.
• Which environment: add the deployment hostname as a keyword (matches request_url) — but see the request-logs-only caveat below.
• Severity: parse log.levelname (see #2) — not a class name, not _loglevel.
• A specific request/entity: the request_id (or any correlation key your logs carry, e.g. session_id, client_ip) as a quoted keyword (see #3).

Backend logs here are structured JSON (_raw = {stream, timestamp, log:{…}}); the fields worth filtering on are log.levelname, log.request_id, log.status, log.path, log.logger, log.pathname — parse them with | json field=_raw "log.<field>" as <alias>.

1. Search by preview deployment URL / hostname keyword (wait a few minutes for ingestion; use byReceiptTime: true for very recent windows):

   _sourcecategory=kubernetes/myservice/*/backend "myservice-preview.dev.example.com"
   

   Caveat: a hostname keyword matches only request logs (the hostname lives in log.request_url) — startup/Celery/Redis lines and most errors/exceptions carry no hostname and get excluded (live-verified: a host-keyword error search returned 0 while the same search by _sourcecategory found them). Hunt errors by _sourcecategory, never by hostname keyword.

2. Errors/warnings — note stream:"stderr" is NOT the error signal; the reliable level is log.levelname parsed from _raw:

   _sourcecategory=kubernetes/myservice/*/backend | json field=_raw "log.levelname" as levelname nodrop | where levelname in ("ERROR","WARNING")
   

   Do not filter on the top-level _loglevel: it is often empty on warnings (~78% observed) and uses WARN where levelname says WARNING, so | where _loglevel in ("ERROR","WARN") silently misses most warnings.

   Count by level (aggregate):

   _sourcecategory=kubernetes/myservice/*/backend | json field=_raw "log.levelname" as levelname nodrop | count by levelname
   

   Exclude noise with negation:

   _sourcecategory=kubernetes/myservice/*/backend !"health check"
   

3. Cross-reference / trace one request: take the req= id from any result line and run a new search with just the quoted id and NO source/host filter — ids are full-text indexed even though they live inside _raw:

   "74ec29d7-3420-41f9-8a71-4d91f0b263a6"
   

   Other correlation keys (e.g. session_id, client_ip) work the same way. Results are returned oldest→newest by default (sort: "asc"), so the trace reads chronologically. Remember the hostname caveat above: don't add a hostname keyword when the trace may include errors.

4. Export everything for a coding agent: call sumo_export_results with the same query and a wider window — it streams flattened NDJSON to a file (chronological, oldest→newest) and returns the path.

Limits & troubleshooting

• Server exits with Missing required environment variable(s) — the env vars did not reach the process. The server does not read .env on its own: set them in the MCP client's env block, export them in the shell, or launch via node --env-file=.env.
• HTTP 401 — wrong SUMO_ACCESS_ID/SUMO_ACCESS_KEY (or the key was revoked). Keys are region-bound: also check SUMO_DEPLOYMENT.
• HTTP 301 = wrong deployment endpoint — the error message names the correct SUMO_DEPLOYMENT (parsed from the redirect Location).
• HTTP 404 on a job = the job expired server-side, was cancelled, or was deleted — re-create it. Job ids do not survive a server restart (the keepalive registry and session state are in-memory).
• 100,000 messages max per search (FORCE PAUSED state = a non-aggregate query hit the cap; results are available but truncated — split the time range).
• 10,000 per page max; requesting more silently returns exactly 10,000.
• Rate limits: 4 requests/s, 10 concurrent per key, 200 active search jobs per org. The server rate-limits itself and always deletes finished jobs.
• Aggregate vs non-aggregate: records ↔ messages are mutually exclusive per job; a mismatched fetch returns 400. The tools detect this and route (or tell you which tool to use).
• Ingestion lag: logs appear minutes after they happen. Wait a few minutes and/or set byReceiptTime: true for windows covering the last few minutes — it surfaces more recent logs.
• No results but the query looks right — check the time range, the exact _sourcecategory spelling, and ingestion lag; the 0-result response lists any server warnings (e.g. unknown partition).
• Jobs created via sumo_create_search_job (or keepJob: true) are background-polled (kept alive) by the server and auto-deleted after YOKOZUNA_KEEPALIVE_IDLE_MINUTES (default 10) minutes idle; any access (status/messages/records) resets the idle timer. At most YOKOZUNA_KEEPALIVE_MAX_JOBS (default 20) jobs are tracked — beyond that the stalest is evicted from keepalive (logged to stderr with its job id). Delete jobs explicitly when done.
• sumo_run_search that shows fewer messages than messageCount includes a hint: raise limit (max 5000), or re-run with keepJob: true and page via sumo_get_messages offset/limit.

Development

npm run dev               # tsx watch (needs SUMO_* in the shell env)
npm test                  # unit tests (no network)
npm run test:integration  # opt-in; needs SUMO_ACCESS_ID/KEY in env; creates+deletes 1 tiny job
npm run lint
npm run typecheck

Full local quality gate (no CI is configured — the repo is not hosted on GitHub for now):

npm run typecheck && npm run lint && npm run build && npm test

Layout: src/config.ts (env → typed config) · src/http/ (rate-limited fetch client, errors, cookies) · src/sumo/ (Search Job API, job lifecycle/keepalive, time ranges) · src/format/ (log flattening + token-economical rendering) · src/tools/ (MCP tool definitions) · src/server.ts/src/index.ts (wiring + stdio entry). plan/ holds the task specs the implementation was built from.

Publishing

The package is publish-ready: files allowlist (dist, README.md, LICENSE only — no sources, tests, or env files in the tarball), a bin entry with a shebang that survives the build, and a prepublishOnly hook that rebuilds dist on publish. Verify the tarball contents with npm pack --dry-run; publish with npm publish. Once published, npx -y yokozuna-mcp works as-is (launch form 4 above). Until then, use the local forms.

Brand assets live in assets/ (logo) and .github/ (social preview); the SVGs are the source of truth and npm run assets re-rasterizes the PNGs (dev-only @resvg/resvg-js, excluded from the published tarball).

Security

• Credentials come from environment variables only; the access key is never logged, echoed, or included in error messages (unit-tested).
• Use a read-only service account scoped to the log indexes you need.
• Nothing is network-exposed: stdio transport only. stdout carries only MCP protocol JSON; all diagnostics go to stderr.