A
licenseNot graded
qualityD
maintenanceExposes TensorBoard experiment data through a standardized MCP API, enabling AI coding agents to query and analyze scalars, tensors, histograms, distributions, and images from ML experiment logs.
MIT
No user-submitted related servers found.
Scored across 6 tools
Each tool has a distinct purpose: finding files, listing tags, querying data, getting steps, statistics, and correlations. No two tools overlap in functionality.
Tools use a mix of verb_noun (find_events, list_tags) and noun_noun (tag_steps, tag_stats) patterns, plus single-word verbs (query) and nouns (correlation). The pattern is inconsistent but still readable.
With 6 tools, the server covers all necessary operations for querying TensorBoard scalar data without being excessive or minimal.
The tool set provides a complete workflow: discover files, list tags, get steps, query data, compute statistics, and correlate. Minor gaps like comparing runs are missing but not critical.