Spanly vs Temporal AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Spanly | Temporal AI |
|---|---|---|
| Purpose | MCP-native observability | Durable execution for AI workflows |
| Target Users | MCP server teams | AI agent & microservices teams |
| Pricing Model | Freemium (pay per request) | Freemium (usage-based billing) |
| Open Source | Yes (SDK/CLI, Apache 2.0) | Yes (core, MIT license) |
| Key Differentiator | Real-time MCP request tracing | Automatic state capture & retries |
| Latest News Highlight | Agentjacking warning (June 2026) | Usage-based billing & custom roles (June 2026) |
Choose Spanly if you already have an APM and need deep MCP-specific tracing with low overhead; it's purpose-built for MCP servers. Choose Temporal if you need to build reliable, long-running AI agent workflows with automatic retries and state persistence, even without MCP. For teams doing both, they complement each other.

Durable execution platform keeping AI agents and workflows running through failures with automatic state capture and retries.
Visit WebsiteWho should pick which
- MCP server operatorPick: Spanly
Spanly provides real-time MCP request tracing, error capture, and performance metrics specifically for MCP servers. It integrates with existing APMs and supports EU/US data residency.
- AI agent developer (reliability)Pick: Temporal AI
Temporal's durable execution ensures AI agents survive crashes and retries, with automatic state capture and human-in-the-loop via signals. It works with OpenAI Agents SDK and Google ADK.
- Platform team needing bothPick: Spanly
Teams running MCP servers in production need MCP-native observability. Spanly complements Temporal by monitoring MCP server health and tracing tool calls.
- Microservices orchestratorPick: Temporal AI
Temporal handles long-running multi-step workflows with Saga compensating transactions, automatic retries, and full visibility. It's overkill for simple cron jobs but ideal for complex orchestration.
- Compliance officer (EU AI Act)Pick: Spanly
Spanly's 2026-06-04 article provides a practical checklist for logging MCP tool calls under EU AI Act traceability requirements, and the platform supports EU data residency.
Frequently Asked Questions
Spanly vs Temporal AI: which should you choose?
Choose Spanly if you already have an APM and need deep MCP-specific tracing with low overhead; it's purpose-built for MCP servers. Choose Temporal if you need to build reliable, long-running AI agent workflows with automatic retries and state persistence, even without MCP. For teams doing both, they complement each other.
Can Spanly be used without MCP?
No, Spanly is specifically designed for MCP servers and only captures MCP JSON-RPC messages.
Can Temporal replace Spanly for MCP monitoring?
No, Temporal is a workflow engine, not an observability tool. It doesn't capture JSON-RPC payloads or provide per-tool metrics.
Do both tools offer open-source options?
Yes, Spanly's SDK and CLI are open source (Apache 2.0), and Temporal's core is open source (MIT). Both can be self-hosted.
Which is cheaper for a small team?
Spanly's free tier (100K requests) is generous. Temporal Cloud's free tier is limited; self-hosted Temporal is free but requires infrastructure.
Can I integrate Spanly with Temporal?
Yes, you could instrument a Temporal worker that calls MCP tools. Spanly would capture the MCP requests, while Temporal tracks the workflow.
Does Spanly support alerting?
Yes, up to 100 alert rules on the Business plan, with Slack/PagerDuty routing.
Does Temporal support human-in-the-loop?
Yes, via signals and pause/resume, allowing human approval before proceeding.
What's the latest pricing change?
Temporal introduced usage-based billing (Billable Actions) in June 2026 for better cost transparency. Spanly's pricing remains per-request tiers.
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Last reviewed: July 2, 2026
