Maple is an observability platform for traces, logs, metrics and session replay, built on OpenTelemetry and backed by ClickHouse. It lets you collect, visualize, and query telemetry from distributed systems in real time, or let an AI agent do it for you over MCP.

Is Maple open source?

Maple's source is on GitHub under the Functional Source License (FSL-1.1). You can read every line, fork it, and self-host. Each release becomes Apache 2.0 two years after publication. You can run Maple yourself or use the hosted version.

Is Maple OpenTelemetry-native?

Yes. Maple is built on OpenTelemetry, the open, vendor-neutral standard for telemetry, so there are no proprietary agents. If you already emit OpenTelemetry data, you can point it at Maple without re-instrumenting your code.

The Startup plan is $39/month with 100 GB of logs, traces, and metrics each included, then a flat $0.30 per GB. No per-host or per-seat fees. Enterprise plans add custom volume and retention.

Does Maple work with AI agents?

Yes. Maple runs an MCP (Model Context Protocol) server, so compatible AI agents can list services, search traces, find errors, and propose fixes directly against your telemetry.

Fact sheet · Error tracking & observability

Maple

Open source observability built on OpenTelemetry

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Open source observability platform for traces, logs, metrics and session replay, built on OpenTelemetry with AI agent integration via MCP.

Overview

Screenshot of the Maple homepage — What maple.dev looks like

Maple is an observability platform for distributed systems that ingests traces, logs, and metrics over the OpenTelemetry protocol (OTLP) and provides a single place to search, correlate, and alert on them. It includes distributed tracing with a service map, log search, metrics dashboards, error tracking with issue grouping, session replay for browser and mobile apps, Kubernetes monitoring, and alerting to multiple destinations.

There are no proprietary agents; any application instrumented with an OpenTelemetry SDK can point its OTLP exporter at Maple without code changes. The platform is built on OpenTelemetry, the open vendor-neutral standard for telemetry, allowing switching observability vendors by simply changing an endpoint and key.

Maple ships a hosted Model Context Protocol (MCP) server and REST API, enabling AI agents and automation to list services, search traces and logs, find and triage errors, build dashboards, and manage alert rules against production telemetry.

The source code is public on GitHub under the Functional Source License (FSL-1.1), with each release converting to Apache 2.0 two years after publication. Maple Local packages the platform as a single binary with an embedded database for laptops and CI environments.

Feature facts

Distributed tracing with service map
Log search with structured filtering
Metrics dashboards and visualization
Error tracking with issue grouping
Session replay for browsers and mobile apps
Kubernetes monitoring and Helm chart
Alerting with multiple destinations
AI agent integration via MCP server
Web analytics and product event tracking

Pricing

Pricing model: Freemium

Startup: $39/month with 100 GB per signal (logs, traces, metrics), then $0.30/GB. Browser sessions: 5,000 included, then $0.002/session. Product events: 1M included, then $5/1M. AI usage: $10/month included, then billed per model by tokens used. 14-day free trial available. Enterprise plans availabl

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Maple specifications

Specifications of Maple
Section	Error tracking & observability
Origin	United States
Website	maple.dev
Votes²	0

Maple metrics

Fact file for maple.dev: Ahrefs Domain Rating and Majestic link facts, each with the change since the last fact check.
Metric	Value
Domain Rating	44 +1 (up) since last check
Trust Flow	5 no change since last check
Citation Flow	30 no change since last check
Referring domains	88 no change since last check
External backlinks	2,759 no change since last check

Fact: Ahrefs Domain Rating checked 12 Nov 2026, fact changed 11 Nov 2026. Fact: top topic Business/Marketing and Advertising (4). Fact: Majestic checked 24 Oct 2026, fact changed 24 Oct 2026. Link facts from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

Maple domain fact sheet

Open the fact sheet

Read from the public RDAP record on 11 Nov 2026, 23:52 UTC.
Domain age	3 years
Registered	3 May 2023
Expires	3 May 2027
Registrar	CloudFlare, Inc.
DNSSEC	Not signed

Every domain fact for maple.dev

Maple launch receipt sheet

What we have measured for Maple since it went live on SaaS Directory Info on 24 October 2026.

44 Domain Rating (Ahrefs) +2 (up) since launch
at launch: 42 (24 Oct 2026); latest: 11 Nov 2026
5 Trust Flow (Majestic)
first measured 24 Oct 2026
88 Referring domains (Majestic)
first measured 24 Oct 2026

Day 19 since launch. Next receipt: day 30, 23 Nov 2026. The figures report a change; they do not say what caused it, and many things can. No figure here is a guess.

Biggest gains on SaaS Directory Info

Got a launch coming up?

Step-by-step tips for before, during and after your launch, free to read on SaaS Directory Info.

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Frequently looked up

Q1What is Maple?: Maple is an observability platform for traces, logs, metrics and session replay, built on OpenTelemetry and backed by ClickHouse. It lets you collect, visualize, and query telemetry from distributed systems in real time, or let an AI agent do it for you over MCP.
Q2Is Maple open source?: Maple's source is on GitHub under the Functional Source License (FSL-1.1). You can read every line, fork it, and self-host. Each release becomes Apache 2.0 two years after publication. You can run Maple yourself or use the hosted version.
Q3Is Maple OpenTelemetry-native?: Yes. Maple is built on OpenTelemetry, the open, vendor-neutral standard for telemetry, so there are no proprietary agents. If you already emit OpenTelemetry data, you can point it at Maple without re-instrumenting your code.
Q4How is Maple priced?: The Startup plan is $39/month with 100 GB of logs, traces, and metrics each included, then a flat $0.30 per GB. No per-host or per-seat fees. Enterprise plans add custom volume and retention.
Q5Does Maple work with AI agents?: Yes. Maple runs an MCP (Model Context Protocol) server, so compatible AI agents can list services, search traces, find errors, and propose fixes directly against your telemetry.

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