agent-trace-mcp
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- AlicenseAqualityBmaintenanceEnables local-first observability for MCP agent workflows by recording tool calls, prompts, latency, and token usage in a local SQLite database, and provides tools for inspecting, comparing, exporting, and generating dashboards from traces.1337 npmMIT
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- FlicenseNot gradedqualityBmaintenanceRecords all MCP tool interactions in a centralized ledger, enabling developers to trace, replay, inspect, and audit AI agent workflows.-
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TDQS
Scored across 7 tools
Each tool has a distinct purpose: recording, listing runs, retrieving a run, filtering failures, computing token costs, finding slowest tools, and checking status. No overlaps or ambiguity.
All tools follow the consistent pattern of 'trace_' prefix plus a descriptive verb or noun phrase, using snake_case throughout. This makes the tool set predictable and easy to navigate.
With 7 tools, the server is well-scoped for tracing functionality—covering recording, querying, and analysis without excess or deficiency.
The surface covers core tracing needs: record, list, get, filter failures, cost, performance, and status. Minor gaps like clearing or deleting runs exist but are not critical for typical usage.