v0.2.0 · MIT License
Enables MCP-capable AI apps to query a user's own Garmin sleep, HRV, stress, Body Battery, heart-rate, activity, and body-metric data through Garmin's official Personal API in a read-only, locally run setup.
v0.1.0 · MIT License
Enables AI assistants to query application projects directly for logs, metrics, incidents, and semantic search through read-only tools.
v0.1.1 · Apache 2.0
Gives AI agents one MCP interface to inspect CI health and flaky tests, pull request flow, delivery/DORA metrics, dependency risks, community health, insights, and org portal data across GitHub repositories. It exposes 11 core tools by default and all 35 with --tools all.
v1.1.1 · MIT License
Enables Cursor and Codex agents to audit Agent Skill structure (frontmatter, broken links, missing files), analyze dependencies for undeclared, unused or vulnerable packages via OSV, and run 28 local bug and code-quality rules with SonarQube-style A–E ratings. It can also optionally pull issues, metrics and quality-gate status from SonarQube or SonarCloud, or scan and upload results.
v0.2.0 · MIT License
Enables Claude to read intervals.icu training data — wellness metrics, completed activities with per-lap and time-series detail, and planned events with planned-versus-completed reconciliation — and to create, update, or delete planned run and bike workouts on the intervals.icu calendar, which syncs to Garmin Connect. Writes are guarded by dry-run defaults and explicit approval.
v0.1.3 · MIT License
Statistics of Russian texts as tools for LLM agents, built on the ruTS library: readability with school grade and reader age, officialese, SEO metrics, verse meter and rhyme, lexical diversity, morphology, syntax, keywords, concordance, collocations and stylometric comparison. Every value comes with a description, a scale reading and warnings when it is unreliable for the text
— · MIT License
Exposes a governed dbt MetricFlow semantic layer to AI agents through three tools — list metrics, list dimensions and query metrics — so questions about federal contract spend are answered from defined metrics rather than raw tables. Guardrails reject undefined metrics, raw columns, SQL in filters and bulk exports, and no tool can execute SQL.
— · MIT License
Enables MCP clients to query and diagnose machine-learning training runs through read-only tools for listing experiments, reading configurations and final metrics, comparing runs, sampling metric curves, and detecting training failures.
— · MIT License
A zero-dependency MCP suite exposing computational tools across metabolic, cardio-renal, chronobiology, neuro-recovery, and biomechanics domains. It enables clients to derive longevity and physiology metrics such as autophagy index, glucose-ketone ratio, glycemic variability, peripheral resistance, nocturnal BP dipping, DLMO clock time, melanopic lux, caffeine clearance, EEG fatigue entropy, and grip vitality age from user-supplied measurements.