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Spanly MCP Observability
MCP server observability platform from Spanly that provides full visibility into how AI agents interact with your MCP servers. Tracks error rates, session traces, tool call patterns and usage analytics for MCP-enabled products. Designed for teams shipping MCP servers as part of their product, helping them understand agent behavior, debug failures and optimize tool performance. Launched on Product Hunt.
MCP unverified
Integration
| Transport | http |
| Auth | api-key |
| Endpoint | https://spanly.dev |
Use Cases
| 01 | Monitor error rates, latency and usage patterns across your MCP servers through Spanly to understand how AI agents interact with your tools in production |
| 02 | Debug failed tool calls and trace full agent sessions through Spanly observability to identify and fix issues in your MCP server implementation |
| 03 | Analyze agent tool call patterns and usage analytics through Spanly to optimize MCP server performance and understand which tools agents use most |
Tags
observability monitoring analytics debugging traces mcp-infrastructure devtools
Machine-readable: /api/servers.json
· JSON-LD schema embedded in <head>