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Zabbix MCP Server

auditlog_get

Read-only

Retrieve Zabbix audit log entries to trace configuration changes and login events, filter by user or time window, and support security audits and compliance reviews.

Instructions

Retrieve audit log entries (read-only). The audit log records every configuration change and login/logout event in Zabbix, including who made the change, when, what object was affected, and the old/new values. Essential for security auditing, compliance, and forensic investigation. Use time_from/time_till to limit the time window and userids to focus on a specific user's activity. Results can be large -- always use limit or time filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return.
filterNoReturn only results whose properties exactly match the given values (a single value or a list of values per key). Example: {"status": 0} or {"status": [0, 1]}. Keys: action, auditid, clock, ip, recordsetid (6.0+), resource_cuid (7.0+), resourceid, resourcename, resourcetype, userid, username (6.0+). Text properties cannot be filtered; use 'search' for them.
outputNoProperties of the auditlog object to return. Pass 'extend' for all, 'count' for the number of matches only, or a comma-separated list of property names. Default when omitted: auditid, userid, action, resourcetype, clock. Properties: action, auditid, clock, details (6.0+), ip, recordsetid (6.0+), resource_cuid (7.0+), resourceid, resourcename, resourcetype, userid, username (6.0+).
searchNoReturn results whose string properties contain the given pattern (case-insensitive; '*' is a wildcard when searchWildcardsEnabled is true). Example: {"name": "web"}. Keys: details (6.0+), ip, resourcename, username (6.0+).
serverNoTarget Zabbix server. Available: default. Defaults to 'default' if omitted.
useridsNoReturn only audit log entries for actions performed by these user IDs.
auditidsNoReturn only audit log entries with the given IDs.
raw_jsonNoStrips the security disclaimer preamble from the response so it is pure JSON. Default: false. Requires the bearer token to have 'allow_raw_json' explicitly enabled by an operator in the admin portal - tokens without that policy receive a PolicyError instead. WARNING: setting true bypasses the prompt-injection mitigation marker that wraps untrusted Zabbix data (host names, item descriptions, problem text). LLM clients (Claude, GPT, Cursor, ...) should leave this false; only programmatic non-LLM consumers (Python scripts, n8n workflows that json.loads the result) should set true.
sortfieldNoSort by one or more of: auditid, userid, clock (comma-separated for several; pair with 'sortorder'). No other property is sortable.
sortorderNoSort order: 'ASC' (ascending) or 'DESC' (descending).
time_fromNoReturn only audit log entries created after this time (Unix timestamp, ISO 8601 date-time such as 2026-04-01T08:00:00Z, or a relative time such as now-1h, now/d or now-7d/d; a value without a zone is read in the zone resolved for the call) (inclusive). Use for scoping queries to a specific time window.
time_tillNoReturn only audit log entries created before this time (Unix timestamp, ISO 8601 date-time such as 2026-04-01T08:00:00Z, or a relative time such as now-1h, now/d or now-7d/d; a value without a zone is read in the zone resolved for the call) (inclusive).
countOutputNoReturn the count of matching results instead of the actual data.
searchByAnyNoIf true, return results matching ANY search field (OR). Default is ALL fields (AND).
extra_paramsNoOther native auditlog.get parameters, merged into the request as-is. Sub-object selects (value 'extend', 'count' or a list of property names): . Any other key is refused here, because Zabbix would silently ignore it. For a parameter you are sure exists on your release but is not listed, use zabbix_raw_api_call.
searchWildcardsEnabledNoIf true, enable * and ? wildcards in search patterns.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.41.0

TDQS

A4.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare read-only and open-world behavior, so the bar is lower; the description still adds value by warning that results can be large and must be bounded with limit/time filters. It does not cover output volume semantics beyond that warning, but the raw_json parameter documentation independently discloses the prompt-injection/raw-json policy.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the purpose, then domain context, then operational cautions in five tight sentences with no filler. Slightly longer than strictly necessary, but every sentence contributes routing or safety information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only retrieval tool with 16 optional parameters, 100% schema coverage, annotations, and an output schema, the description supplies the missing pieces an agent needs: what the log represents, targeted scoping advice, and the result-size hazard. Nothing essential to correct invocation is absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds meaning beyond the schema by telling the agent which parameters to use for scoping (time_from/time_till for the time window, userids to focus on a user) and why (result size). It does not explain filter vs. search division of labor, which the schema itself carries.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a precise verb+resource ("Retrieve audit log entries") and immediately defines the resource's content: configuration changes and login/logout events with actor, timestamp, affected object, and old/new values. This lets an agent distinguish it from adjacent *_get tools like user_get or event_get without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Names concrete use cases (security auditing, compliance, forensic investigation) and prescribes the narrowing parameters (time_from/time_till, userids, limit). It stops short of naming an alternative tool or a when-not condition, so it is clear context without explicit exclusion guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.