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Connect AI assistants to log, trace, and event data

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Tracked since2026
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What is Axiom MCP?

Editorial review
Axiom's official MCP server connects AI assistants to Axiom log, trace, and event data via APL. It exposes 24 tools plus 6 prompts for tasks like anomaly detection and cross-dataset correlation.

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Key Features

Run APL and metrics queriesCreate, read, update, and delete dashboardsCreate, update, and check monitors and retrieve historyManage alert notifiersList datasets, schemas, metrics, and tags

Pricing Plans

Pricing checked Jul 31, 2026

Personal

$0 / month

  • 500 GB/mo data loading
  • 10 GB-hours query compute
  • 25 GB storage
  • 30-day retention
  • Full APL access
  • All integrations
  • Community support

Axiom Cloud

$25 / month

  • Platform fee + usage
  • No minimum commitment
  • Always Free allowance (1 TB / 100 GB-hrs / 100 GB) included
  • Automatic volume discounts on usage beyond the allowance
  • Configurable retention
  • Self-serve enterprise add-ons (SSO, RBAC, Directory Sync, Audit Logs)
  • Compute credit pre-purchase for deeper discounts
  • All integrations

Is Axiom MCP worth the price?

78/100

The Personal tier at $0/month is genuinely generous for individual developers or small projects, offering 500 GB data loading and 10 GB-hours query compute.

The Axiom Cloud tier at $25/month is fairly priced for teams needing configurable retention and enterprise add-ons, though usage beyond the free allowance can add up. This pricing is best for developers who want a generous free tier and scalable pay-as-you-go for observability.

Hidden Costs & Gotchas

Overage fees for data beyond 500 GB free

Query compute over 10 GB-hours costs extra

Storage over 25 GB incurs additional charges

Enterprise add-ons require $25/month platform fee

No annual billing discount available

How Axiom MCP Compares to Competitors

Compared to Datadog and Grafana Cloud, Axiom MCP's free tier is more generous for small-scale use, but the $25/month platform fee plus usage costs can be pricier for heavy users than Grafana's per-host pricing. It is cheaper than most proprietary observability APIs for moderate usage, but self-hosting open-source alternatives like Loki would be more cost-effective at high volume.

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Axiom MCP FAQ

How does Axiom MCP help developers detect anomalies in their application logs?

Axiom MCP provides 24 tools and 6 prompts that enable anomaly detection and cross-dataset correlation directly through an AI assistant. The assistant uses APL queries against Axiom's log, trace, and event data to surface unusual patterns. This allows developers to investigate issues without writing manual queries.

How does Axiom MCP compare to Sentry MCP for debugging production issues?

Axiom MCP is designed specifically for querying Axiom's log, trace, and event data via APL, while Sentry MCP focuses on Sentry's error tracking. Both offer MCP integration, but Axiom's strength is in broad observability data correlation rather than exception-specific monitoring. Teams already using Axiom for observability will find Axiom MCP more natural for cross-dataset investigations.

Which AI assistants can connect to Axiom MCP?

Axiom MCP works with any AI assistant that supports the Model Context Protocol (MCP). This means it is limited to clients that implement that standard, and it requires the user to have data stored in Axiom's platform. Assistants that do not support MCP cannot connect directly.

What kind of teams benefit most from using Axiom MCP?

Platform engineering and SRE teams that already use Axiom for observability and want to enable natural-language querying of their logs, traces, and events through AI assistants will find it most valuable. It also suits developers who frequently perform ad‑hoc analysis across multiple datasets. The tool reduces the need to memorize APL syntax.

How is Axiom MCP priced?

Axiom MCP is available on a free tier, with paid plans that increase usage limits and unlock additional features. The exact pricing depends on the selected plan and usage volume. Users can start with the free tier and upgrade as their needs grow.

Can Axiom MCP correlate data across multiple datasets?

Yes, Axiom MCP includes tools and prompts for cross-dataset correlation, allowing an AI assistant to combine log, trace, and event data from different sources in a single query. This enables users to identify relationships between separate pieces of telemetry. The correlation is done via APL queries executed by the assistant.

Does Axiom MCP require users to write APL queries manually?

No, Axiom MCP exposes 24 tools and 6 prompts that let the AI assistant construct and execute APL queries on behalf of the user. Users can describe their needs in natural language, and the assistant translates that into the appropriate APL commands. This reduces the learning curve for those unfamiliar with APL.

How does Axiom MCP fit into a developer's incident response workflow?

Developers can ask an MCP-compatible AI assistant to investigate anomalies or correlate events across datasets, and the assistant uses Axiom MCP's tools to query Axiom's data in real time. This speeds up root cause analysis by eliminating the need to switch contexts or write manual queries. The results are returned directly in the conversation.

Source: axiom.co

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