Spanly

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Introduction:
Observability and monitoring platform for Model Context Protocol (MCP) servers.
Added on:
Jun 30 2026
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Large Language Models (LLMs)AI MonitorAI Developer Tools
Spanly Product Information

What is Spanly?

Spanly is a dedicated observability and monitoring platform built specifically for Model Context Protocol (MCP) servers. It provides SaaS engineering teams with full visibility into their MCP traffic, tracking error rates, session traces, latencies, client analytics, and deployment alerts at the protocol level. Unlike standard APM tools that capture basic HTTP requests, Spanly captures full JSON-RPC packets (arguments, results, errors, and timings) across any programming language without requiring complex code changes. It works alongside existing infrastructure monitoring tools like Datadog, Sentry, or New Relic to deliver complete protocol-aware telemetry for production AI agent environments.

How to use Spanly?

To use Spanly, you can integrate it into your MCP server by dropping the open-source SDK into your TypeScript or Python code, wrapping your server binary using the Spanly CLI, or deploying it as a Docker sidecar. Once configured with your API key, it automatically captures and traces all MCP-shaped traffic, allowing you to view analytics, errors, and session traces directly via the web dashboard or from your IDE using Spanly's built-in MCP server.

Spanly's Core Features

Protocol-aware tracing capturing full JSON-RPC payloads (arguments, results, errors)

Real-time session tracking grouping requests end-to-end

Comprehensive performance metrics broken down by p50, p95, and p99 durations

Automated error tracking and grouping across servers and clients

US & EU regional data residency options with GDPR-friendly architecture

IDE integration allowing engineers to search traces and triage errors from tools like Claude Code or Cursor

Spanly's Use Cases

#1

Monitoring production MCP server error rates and performance bottlenecks

#2

Debugging failing tool calls by inspecting full payload arguments and response details directly

#3

Tracking down bad deployments by splitting performance metrics out by server and client versions

#4

Correlating AI agent interactions and sessions across complex multi-turn tool calling workflows

FAQ from Spanly

How is Spanly different from Datadog, Sentry, or New Relic?

Can I keep using my existing APM tool alongside Spanly?

What counts as an MCP request for billing purposes?

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Spanly Pricing

Free

$0/mo

100,000 MCP requests included (soft cap with sampling). Includes 30 days data retention, 2 seats, and multi-region ingestion. Designed for teams evaluating Spanly on a single server.

Pro

$41/mo

Billed annually at $492. Includes 100,000 MCP requests (overage from $6.00/100k decreasing with volume), 90 days data retention, unlimited seats, up to 10 alert rules, and public dashboards.

Business

$210/mo

Billed annually at $2,520. Includes 100,000 MCP requests (overage from $6.00/100k decreasing with volume), 12 months data retention, unlimited seats, up to 100 alert rules, public dashboards, SAML & OIDC single sign-on, audit logs, and priority support.

Founder (Founding Partner Program)

$125/mo

Locked for 12 months for the 2026 cohort. Includes 1,000,000 requests, all Business features, a direct Slack Connect channel with the founder, roadmap input, and early access to new features in exchange for a monthly feedback call.

Enterprise

Custom Pricing

For volumes above 30M requests/month. Offers a custom per-request rate below $5.00/100k, dedicated support, and custom retention configurations.

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