Install payload
Install payload is broadly covered in current results.
83% (10/12)
Safety notes filter active — add entries to compare trust side by side.
28 results in this view
2 trust signals differ in this sample: Source provenance, Submitter
Signals differ on Source provenance, Submitter — add entries to compare before you install.
Rollout signal scan
Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.
Install payload
Install payload is broadly covered in current results.
83% (10/12)
Most at-risk entries in this view
Adoption queue
3/28 visible results are in hold tier and need mitigation before adoption.
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
statuslines/ai-model-performance-dashboard · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
agents/allways-agent-quickstart · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/amplitude-mcp-server · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/axiom-mcp-server · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
skills/claude-code-analytics-adoption-capability-pack · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/datadog-mcp-server · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
guides/deep-links-into-claude-code-runbooks-and-alerts · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/grafana-mcp-server · trust review · confidence 67%
Decision confidence
3/28 results are low-confidence and need review before adoption.
Address Metadata review, Package integrity before broader rollout.
54/100
statuslines/ai-model-performance-dashboard · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
agents/allways-agent-quickstart · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/amplitude-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/axiom-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
skills/claude-code-analytics-adoption-capability-pack · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/datadog-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
guides/deep-links-into-claude-code-runbooks-and-alerts · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/grafana-mcp-server · trust review
Freshness distribution
Median age 49 days; all 12 scanned entries are within 90 days.
Theme distribution
94 distinct themes with no dominant one. Most common: analytics, observability, dashboards.
94 distinct themes across 24 scanned
Open-source observability platform purpose-built for AI agents, with OpenTelemetry-native tracing, plain-English signals, an evals SDK and CLI, SQL dashboards, dataset annotation, and MCP/CLI access, self-hostable with Apache-2.0 SDKs for Python and TypeScript.
Query observability data, manage dashboards, and monitor your systems from Claude — run APL queries against datasets, list metrics, inspect monitors, and retrieve saved queries — with the official Axiom remote MCP server.
Query and explore your Metabase instance from Claude — list dashboards and cards, retrieve and execute saved questions, run SQL queries, export large result sets, and search across all Metabase resources — with the Metabase MCP server optimized for 90% token reduction.
Expert Claude Code analytics adoption capability pack for enabling team and enterprise dashboards, GitHub contribution metrics, adoption tracking, ROI reporting, and OpenTelemetry complements with source-backed rollout steps.
Built-in Streamable HTTP MCP server for Nuclear Music Player that lets Claude inspect available music-player domains, discover method signatures, describe data types, and control playback, queue, favorites, playlists, dashboard, and provider workflows.
Official remote MCP server for querying and creating Amplitude analytics, dashboards, experiments, cohorts, session replay insights, and product data from Claude and other MCP clients.
MCP server that lets Claude inspect, control, and manage Home Assistant entities, automations, dashboards, add-ons, backups, and system state.
Dashboard, CLI, and gateway for centrally managing many MCP servers and exposing them as authenticated all-server, group, single-server, or smart routing endpoints.
Apache-2.0 Python framework for turning scripts into interactive data apps, dashboards, reports, chat apps, multipage tools, and deployable analytical interfaces.
Connect Claude to Grafana for metrics, logs, dashboards, alerting, incidents, and observability workflows.
Query Mixpanel analytics data from Claude — run insights, funnels, flows, retention analysis, manage dashboards, explore events and properties, run experiments, and analyze session replays — with the official Mixpanel remote MCP server.
Query OpenTelemetry traces and metrics, manage dashboards, analyze distributed traces, and investigate exceptions from Claude — with the official Pydantic Logfire remote MCP server hosted at logfire-us.pydantic.dev/mcp.
A practical walkthrough of Claude Code deep links: the claude-cli:// URL scheme, how to build links with repo, cwd, and prompt parameters, embedding them in runbooks and alerts, and the safety model where prompts are inert until you press Enter.
Source-backed agent for live production incident debugging with impact framing, timeline reconstruction, alert/log/trace evidence, rollback options, escalation boundaries, and privacy-safe incident notes.
Official Datadog MCP Server for connecting Claude, Codex, Cursor, and other MCP clients to Datadog observability, incidents, logs, metrics, traces, dashboards, monitors, notebooks, services, and security signals.
Official New Relic AI MCP Server for connecting Claude, Codex, VS Code, Windsurf, Gemini CLI, and other MCP clients to New Relic observability data, NRQL, alerts, incidents, entities, logs, performance analysis, and deployment impact context.
Multi-provider AI performance dashboard with context occupancy tracking, truncation warnings, TTFT latency, tokens/min rate, and model comparison metrics.
SessionStart hook that prints a daily Claude Code retro at the top of every session — competency grade (0–100, A–F), 14-day efficiency sparklines, and a year-long contributions heatmap.
Comprehensive multi-line statusline displaying detailed session information across two lines with organized sections and visual separators
Expert Renovate review skill for evaluating dependency upgrade PRs, package rules, lockfile changes, grouping, automerge, and release readiness.
Guide to Claude Code usage analytics for team rollouts: dashboard metrics, adoption KPIs, monitoring usage docs, and privacy-aware reporting.
A source-backed collection for reproducible data analysis and notebook work: Marimo notebooks, DuckDB analytical SQL, Polars DataFrames, Hugging Face Datasets loading, Great Expectations quality checks, and Streamlit sharing.
Open-source full-stack web framework for building web apps entirely in Python, compiling a Python frontend to React and Next.js while keeping state management and event handling in Python, useful for building UIs, dashboards, and tools for AI apps and agents.
Local-first context-engineering MCP server and CLI that gives Claude token-efficient file reads, shell-output compression, code search, graph queries, persistent session memory, context packaging, verification tools, and dashboard-style token accounting through a single Rust binary.
Long-term memory MCP server for agents, with URI-addressed memories, namespaces, search, aliases, glossary triggers, a visual dashboard, and reviewable rollback snapshots backed by SQLite or PostgreSQL.
Connect Claude to PostHog's official MCP server for product analytics, feature flags, experiments, dashboards, error tracking, logs, surveys, data warehouse, and project operations.
MCP server for spec-driven development workflows, requirements, design docs, task breakdowns, approvals, implementation logs, and a real-time dashboard.
Source-backed Claude agent prompt for using the Allways agent quickstart, live dashboards, API docs, and open source repo in a read-only-first workflow.