Install payload
Install payload is sparse; verify before rollout decisions.
33% (1/3)
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. 1 entries have 2+ required gaps.
Install payload
Install payload is sparse; verify before rollout decisions.
33% (1/3)
Most at-risk entries in this view
Adoption queue
2/3 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/graphlit-mcp-server · 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/crawl4ai · trust review · confidence 50%
3 blockers: Metadata review, Safety notes
10/100
Request metadata review from maintainers or internal owners.
Capture safety notes with misuse/guardrail guidance.
Add install/config payload for reproducible team rollout.
tools/firecrawl · trust review · confidence 17%
Decision confidence
2/3 results are low-confidence and need review before adoption.
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/graphlit-mcp-server · trust review
Hold adoption until Metadata review, Package integrity are resolved.
36/100
tools/crawl4ai · trust review
Hold adoption until Metadata review, Safety notes are resolved.
10/100
tools/firecrawl · trust review
Freshness distribution
Median age 52 days; 2 fresh, 1 aging or stale of 3 scanned.
Oldest entries in this view
Theme distribution
100% of this view shares the top theme. Leading themes: web-crawling, rag, data-extraction.
10 distinct themes across 3 scanned
Open-source, LLM-friendly Python web crawler and scraper that turns web pages into clean, LLM-ready Markdown for RAG, agents, and data pipelines, with an async browser pool, caching, structured extraction, and adaptive deep crawling.
MCP server for the Graphlit platform, enabling Claude to ingest, search, retrieve, organize, and operate on files, web pages, feeds, collections, conversations, memory, connectors, crawls, and RAG-ready project knowledge.
Web scraping and crawling API for turning websites into clean markdown, structured data, and LLM-ready content.