Install payload
Install payload is broadly covered in current results.
92% (11/12)
5 trusted · 41 review in this set — compare to see which signals differ.
Trust signals across 40 of 46 results
3 trust signals differ in this sample: Package trust, Source provenance, Submitter
Signals differ on Package trust, 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.
92% (11/12)
Adoption queue
11/46 visible results are in hold tier and need mitigation before adoption.
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
mcp/asana-mcp-server · trust trusted · confidence 83%
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
mcp/clickup-mcp-server · trust trusted · confidence 83%
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
mcp/linear-mcp-server · trust trusted · confidence 83%
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
skills/n8n-ai-agent-workflow-architect · trust trusted · confidence 83%
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
mcp/notion-mcp-server · trust trusted · confidence 83%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
commands/prompt-eval-runbook · 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.
rules/ai-prompt-engineering-expert · 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/aws-ecs-mcp-server · trust review · confidence 67%
Decision confidence
11/46 results are low-confidence and need review before adoption.
Confident candidate for staged adoption.
74/100
mcp/asana-mcp-server · trust trusted
Confident candidate for staged adoption.
74/100
mcp/clickup-mcp-server · trust trusted
Confident candidate for staged adoption.
74/100
mcp/linear-mcp-server · trust trusted
Confident candidate for staged adoption.
74/100
skills/n8n-ai-agent-workflow-architect · trust trusted
Confident candidate for staged adoption.
74/100
mcp/notion-mcp-server · trust trusted
Address Metadata review, Package integrity before broader rollout.
54/100
commands/prompt-eval-runbook · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
rules/ai-prompt-engineering-expert · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/aws-ecs-mcp-server · trust review
Freshness distribution
Median age 46 days; 9 fresh, 3 aging or stale of 12 scanned.
Oldest entries in this view
Theme distribution
103 distinct themes with no dominant one. Most common: automation, claude-code, project-management.
103 distinct themes across 24 scanned
Design production-safe n8n automations with AI agents, retries, human approval gates, and observable error handling.
Interact with Asana workspaces to manage projects and tasks
Read docs, update pages, and manage tasks in Notion workspaces
Open-source Python framework from Prefect for structured outputs and agentic AI workflows, with tasks, specialized agents, threads, and extract/cast/classify/generate utilities.
Hosted LLM Pulse MCP server for AI visibility analytics, brand mentions, citations, sentiment, share of voice, recommendations, GEO Writer, and AI traffic workflows.
Official AWS Labs MCP server for Amazon ECS that helps AI assistants containerize applications, deploy them to ECS, troubleshoot deployments, and explore ECS and ECR resources across the container application lifecycle.
Local-first AI application for private chat, document RAG, workspace agents, MCP-compatible tools, model routing, memories, scheduled tasks, multimodal workflows, multi-user Docker deployments, and self-hosted agent automation.
Connect Claude to Taskade — manage workspaces, projects, tasks, and AI agents — with the official Taskade MCP server, covering 57 tools for the full Taskade platform including projects, tasks, AI agent conversations, media, and templates.
Initialize projects, trigger task runs, deploy to environments, and monitor execution from Claude — with the official Trigger.dev MCP server for background job and AI agent workflow orchestration.
Microsoft 365 Graph API MCP server for personal and organization accounts, with OAuth, read-only mode, scope allowlists, presets, multi-account support, and Streamable HTTP deployment.
Source-backed agent for designing Inspect AI benchmark tasks, datasets, solver plans, scorer rubrics, model matrices, eval logs, and release-quality prompt evaluation decisions.
MCP server for AI-assisted development task planning, decomposition, dependency tracking, execution workflow state, reflection, and research mode.
MCP server for spec-driven development workflows, requirements, design docs, task breakdowns, approvals, implementation logs, and a real-time dashboard.
Windows computer-use MCP server that lets AI agents interact with the Windows operating system through UI state, keyboard and mouse actions, application control, file navigation, QA testing, and browser DOM mode.
Apache-2.0 Python workflow orchestration framework for resilient data pipelines with flows, tasks, deployments, schedules, retries, caching, workers, work pools, and observability.
Apache-2.0 model-definition framework for pretrained text, vision, audio, video, and multimodal models across inference, training, pipelines, generation, and fine-tuning.
Slash command runbook for designing and running prompt evaluations: define tasks, success criteria, golden outputs, regression checks, and privacy-safe reporting using Anthropic test-and-evaluate guidance.
Delegate repository maintenance to Claude Code subagents: docs drift scans, dependency report triage, README sync checks, and stale issue grooming with scoped tools, read-first policies, and human merge gates.
Use Claude Code Desktop scheduled tasks to run recurring local maintenance: create tasks in Desktop, scope repositories and environments, review autonomous runs, and disable tasks when behavior drifts.
Source-backed agent that operates Claude Code inside GitLab CI pipelines — triaging pipeline failures, generating MR descriptions, running automated code review on diffs, and reporting findings back to merge requests via the GitLab API through a narrow write proxy and explicit prompt-injection boundaries.
Guide to delegating engineering work from Slack to Claude Code: channel setup, task contracts, permissions, status updates, and safe escalation paths.
Source-backed agent that reviews the container isolation posture of a NanoClaw deployment, checking filesystem mounts, per-agent scoping, credential vault routing, messaging channel permissions, and scheduled tasks before agents run with real access.
Connect Claude to Pulumi's MCP server for Pulumi Cloud stacks, resource search, Registry context, policy findings, organization access, and Pulumi Neo infrastructure workflows.
System-prompt agent that helps you drive Claude Code on the web: submitting long-running coding tasks to Anthropic's cloud, running independent sessions in parallel, linking GitHub repositories, tracking progress, and turning finished work into pull requests from the browser.
A CLAUDE.md rule set that turns Claude into a prompt-engineering reviewer for coding work — enforcing explicit requirements, task decomposition, example-driven prompts, and context management.
An agent that splits independent work across concurrent Claude Code subagents via the Task tool — each in an isolated context window with scoped tools — and reconciles their results.
An agent pattern for routing rapid-iteration work to Claude Haiku 4.5 — more than twice Sonnet's speed at one-third the cost ($1/$5 per million tokens) — while keeping about 90% of Sonnet 4.5's agentic-coding quality.
AI software engineering agent for planning, coding, debugging, and executing development tasks with autonomous workflows.
Task management and project tracking with ClickUp integration
Integrate with Linear's issue tracking and project management system