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Scouter MCP

by 335version 0.3.5i★ –iRuns on your computer
Registry nameio.github.335/scouter-mcp

Install

Overview

Description from the maker (original English)

Query Scouter APM (objects, counters, XLog transactions) over stdio via a Scouter collector.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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: Other

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).
  • The registry lists no key to fill in.

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

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.

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.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account 335, 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 Otheri

  • More stars than 0% of the other 32466 servers in this category
  • Published to the registry more recently than 16% of the other 32466 servers in this category
  • Basic checks equal to or better than 100% of the other 32466 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 Scouter 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (0.3.5) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, HotCodePush

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

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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.

scouter-mcp

한국어 문서는 README.ko.md 를 참고하세요.

A stdio MCP server that connects directly to a Scouter Collector over TCP and queries XLogs, counters, and objects. Its purpose is to let an AI quickly explore Scouter metrics and diagnose root causes. Each result carries txid / gxid / objName / endTimeIso, which you can use as keys to cross-analyze with other observability tools such as OpenSearch or Datadog.

Architecture

Java 17. It reuses scouter-common and ports the scouter.webapp net/server classes into the scouter.mcp.client package. MCP uses the Java SDK 2.0.0 stdio transport. All operations against the Collector are read-only.

Build

./gradlew shadowJar

output: build/libs/scouter-mcp- -all.jar

The .mcpb bundle is produced only by the release CI (which wraps this jar); local builds just produce the jar.

Registration (Claude Code, Claude Desktop, ...)

For a single collector, install the .mcpb bundle from the GitHub Release for a one-click setup — or copy .mcp.json.example, point it at the fat jar (downloaded from the release or built locally), and fill in the credentials. For multiple collectors, see Multiple collectors.

Env varDescription
SCOUTER_COLLECTOR_HOSTCollector host
SCOUTER_COLLECTOR_PORTCollector TCP port (default 6100)
SCOUTER_USERLogin user
SCOUTER_PASSWORDLogin password
SCOUTER_TZTime zone (e.g. Asia/Seoul)
SCOUTER_LOCALEUser-facing message locale: en or ko. If unset, derived from the JVM default (Korean only when the JVM language is Korean, otherwise English)
SCOUTER_INCLUDE_BIND_PARAMSOperator kill-switch for SQL bind parameters in get_xlog_detail (default true). Set to false to strip bind params server-side regardless of the per-call argument — an LLM cannot re-enable them. Use when bind values may contain PII.
Multiple collectors

The official release ships one .mcpb bundle (one-click install, a single collector) plus the standalone fat jar. A .mcpb defines exactly one server with one credential set, so it cannot register two collectors at once. For multiple collectors — which usually differ in their whole connection set (host/port and user/password) — use the jar directly and add one entry per collector:

  1. Download scouter-mcp- -all.jar from the GitHub Release.
  2. Add one mcpServers entry per collector to your client config (.mcp.json / claude_desktop_config.json), all pointing at that same jar, each with its own env set. This keeps each credential isolated:
{

"mcpServers": { "scouter-prod": { "command": "java", "args": ["-jar", "/ABSOLUTE/PATH/scouter-mcp- -all.jar"], "env": { "SCOUTER_COLLECTOR_HOST": "prod-collector", "SCOUTER_COLLECTOR_PORT": "6100", "SCOUTER_USER": "prod-user", "SCOUTER_PASSWORD": "*", "SCOUTER_TZ": "Asia/Seoul" } }, "scouter-stg": { "command": "java", "args": ["-jar", "/ABSOLUTE/PATH/scouter-mcp- -all.jar"], "env": { "SCOUTER_COLLECTOR_HOST": "stg-collector", "SCOUTER_COLLECTOR_PORT": "6100", "SCOUTER_USER": "stg-user", "SCOUTER_PASSWORD": "*", "SCOUTER_TZ": "Asia/Seoul" } } } }

The AI then orchestrates across the collectors.

Tools (14)

NamePurposeKey inputs
list_objectsList objects/agentsobjType?, nameLike? (case-insensitive)
search_xlogSearch XLogs (latency/errors)from, to, objNameLike?, objHash?, service?, login?, ip?, desc?, minElapsedMs?, onlyError?, limit? (default 20, max 200)
get_service_summaryPer-service aggregate (count/avg/max/p95/errorRate), top 50from, to, same filters as search_xlog
get_summaryCollector's daily pre-aggregated stats (top-50 SQL/service/error/... — no scanning)category (service/sql/apiCall/ip/userAgent/error/alert), from, to (up to 31 days), objType?, objNameLike?, objHash?
get_xlog_detailXLog detail (SQL/bind params)txid, date?/at?, includeBindParams? (default true)
get_xlog_by_gxidDistributed-transaction groupgxid, date?/at?
get_counterCounter time series (same-day, full resolution)objNameLike\objHashes\objType, counter, from, to
get_counter_statLong-range counter stats (5-min resolution, up to 31 days)objNameLike\objHashes\objType, counter, from, to
list_countersAvailable counters for an objTypeobjType
list_alertsPast collector alertsfrom, to, level?, object?, key?, limit?
get_active_servicesServices running right nowobjNameLike\objType\objHash
list_threadsJVM thread list (state histogram + top 50 by cpu)objNameLike\objHash (max 5 alive instances)
get_thread_detailLive thread of an ACTIVE transaction (stack/lock owner/current SQL)txid (required, active), id?, objNameLike\objHash
get_object_envAgent JVM system properties (secrets masked)objNameLike\objHash, keyLike?
Fuzzy targeting (objNameLike)

Users say app-name fragments ("shop-order-api"), but real objNames embed the k8s pod name (/shop-order-api-deployment-5f4b8c7d9-abcde/shop-order-api1), so objHash changes on every deploy and an app spans multiple instances. objNameLike solves this: a case-insensitive fragment is resolved to all matching instances (alive first, capped at 20) and queried across them — no objHash needed, ever. For XLog search/summary the resolution also unions the collector's daily object DB, so pods replaced by a deploy during the queried window are still found. If nothing matches, the error is NOT_FOUND with a candidates hint listing actual objNames so the caller can self-correct in one step.

Sloppy service queries

Scouter service names look like /api/order/.../search-order-info-grade , but users type "GET orderDetail" or "order info grade". The service filter normalizes such input: an HTTP method is extracted from any position (GET x, x POST, pasted ), whitespace-separated words fall back to the longest token server-side, and explicit * patterns pass through untouched. Server-side matching is still case-sensitive — so when a pattern matches nothing, the same window is re-scanned (bounded) without the service filter and real service names matching the query tokens case-insensitively are returned as serviceCandidates, ordered by traffic. One retry with an exact name resolves it.

service/login/ip/desc use substring match by default (server-side StrMatch), so a short token like search-order-info-grade matches /api/order/ext/order-info/search-order-info-grade . objNameLike/login/ip/desc count as server-side filters, so they relax the 5-minute unfiltered-window cap. list_counters also accepts objNameLike and derives the objType, so users never need to know Scouter's type taxonomy.

All tools are advertised with readOnlyHint. A diagnose_root_cause MCP prompt exposes the recommended tool order for latency/error investigations.

Resource / token safety policy

Production Scouter can produce hundreds of thousands of XLogs in five minutes, so search_xlog enforces guardrails (see scouter.mcp.policy.Limits):

  • During streaming, it stops once the limit or the scan cap (5,000 examined packs) is reached and closes the socket, which also stops the Collector's scan/transfer — bounding server load, network, and MCP heap together.
  • Without a service or objHash filter, only windows up to 5 minutes are allowed; the absolute window cap is 24 hours.
  • limit defaults to 20 and is capped at 200. Results include truncated/scanCapReached and a hint so the caller can narrow filters instead of refetching.
  • get_service_summary retains no rows (only per-service counters), so it uses a higher scan cap (200,000) to cover wider windows cheaply; it reports scanCapReached/examined too.
  • get_counter caps the per-objType fan-out at 20 instances, and downsamples long series with a min/max scheme that preserves spikes/dips (summary min/max/avg are computed from the full series).
  • Windows crossing midnight are split per calendar day (the collector partitions XLogs/counters/alerts by day), so no data is lost on either side of the boundary.
  • Response text budgets: SQL text is cut at 1,500 chars, error messages at 500, thread stack traces at 4,000, env values at 500 — each with a truncation marker carrying the original length. get_xlog_detail profile steps are capped at 150, signalled via totalSteps/stepsTruncated.
  • A single request may fan out to at most 40 collector round-trips (instances x day segments). When client-side filters (minElapsedMs/onlyError) discard over 99% of scanned rows, a low-selectivity hint steers the model toward server-side filters or get_summary.
  • get_summary/get_counter_stat read the collector's daily pre-aggregated data (no scanning), capped at 31 days; summary returns the top 50 rows per category. list_threads caps at 5 alive instances and 50 thread rows each (the state histogram always covers all threads).
  • Per-request telemetry (passes/examined/kept/tookMs) is logged to stderr as structured key=value lines for post-hoc load analysis.

Internationalization

Only dynamic, user-facing output (tool error messages, result hints, notes) is localized, in English and Korean, via messages.properties / messages_ko.properties. Static schema/tool descriptions and structured stderr logs (key=value) remain English for a stable contract and log parsing.

Security notes

  • Read-only against the Collector (no write commands are exposed).
  • Credentials are injected via environment variables only (never in files or arguments as plaintext). Prefer a least-privilege / read-only Scouter account.
  • Transport is plaintext TCP (the Scouter protocol has no TLS): the SHA-256 password digest, the session token, and all XLog/counter data cross the wire unencrypted. Run only inside a trusted network, or tunnel over SSH/VPN. Do not expose the collector port over the public internet.
  • get_xlog_detail bind parameters can contain PII. Set SCOUTER_INCLUDE_BIND_PARAMS=false to strip them server-side (the LLM cannot re-enable them). See the env table above. get_thread_detail's live bind values (SQLActiveBindVar) obey the same kill-switch.
  • get_object_env unconditionally masks values of keys matching password/secret/token/credential/ private — a server-side policy the LLM cannot opt out of.
  • stdout is reserved for JSON-RPC, so all logs go to stderr only.

License / Notice

The scouter.mcp.client package is ported from Scouter v2.20.0 client code (Apache License 2.0). See NOTICE for details.

Known limitations

  1. search_xlog/get_service_summary minElapsedMs/onlyError/limit are applied client-side because the Collector has no native parameters for them. truncated=true is a heuristic (returned count == limit) and can be a false positive.
  2. On a session-expiry (INVALID_SESSION) the client re-logs in once and retries the request; a second failure surfaces as SCOUTER_AUTH_FAILED (no infinite retry loop). The upstream 2-second time-delta refresh daemon is still not ported, so long-running processes may drift slightly for real-time relative queries. Absolute-epoch (historical) queries are unaffected.
  3. list_alerts/get_active_services were ported from the upstream protocol and validated against a collector via the smoke tests (SmokeIT); field coverage may vary by collector version.
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