Install payload
Install payload is mixed and needs spot-checking.
67% (2/3)
Source-backed filter active — add entries to compare trust side by side.
3 results in this view
1 trust signal differs in this sample: Submitter
Signals differ on 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 mixed and needs spot-checking.
67% (2/3)
Most at-risk entries in this view
Adoption queue
1/3 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.
mcp/meigen-ai-design-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/vibe-check-mcp · trust review · confidence 67%
2 blockers: Metadata review, Install payload
36/100
Request metadata review from maintainers or internal owners.
Add install/config payload for reproducible team rollout.
Collect package checksum or signed artifact information.
tools/prompt-flow · trust review · confidence 50%
Decision confidence
1/3 results are low-confidence and need review before adoption.
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/meigen-ai-design-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/vibe-check-mcp · trust review
Hold adoption until Metadata review, Package integrity are resolved.
36/100
tools/prompt-flow · trust review
Freshness distribution
Median age 52 days; all 3 scanned entries are within 90 days.
Theme distribution
100% of this view shares the top theme. Leading themes: prompt-engineering, agent-oversight, ai-safety.
14 distinct themes across 3 scanned
Open-source suite of development tools from Microsoft for building LLM applications end to end — create executable flows that link LLMs, prompts, Python, and tools, trace and debug them, evaluate quality against datasets in CI/CD, and deploy to a serving platform.
MCP server and CLI for AI image and video generation with gallery search, prompt enhancement, model listing, local preferences, ComfyUI workflows, MeiGen Cloud, and OpenAI-compatible provider support.
Maintenance-mode MCP server that adds metacognitive oversight tools for challenging an agent's plan, recording recurring mistakes, and applying session rules before complex or high-risk work continues.