Install payload
Install payload is broadly covered in current results.
80% (4/5)
1 trusted · 4 review in this set — compare to see which signals differ.
5 results in this view
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.
80% (4/5)
Adoption queue
1/5 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.
skills/image-ocr-table-extraction · 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.
mcp/kreuzberg-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/markdownify-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.
tools/upsonic · 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/docling · trust review · confidence 50%
Decision confidence
1/5 results are low-confidence and need review before adoption.
Confident candidate for staged adoption.
74/100
skills/image-ocr-table-extraction · trust trusted
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/kreuzberg-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/markdownify-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
tools/upsonic · trust review
Hold adoption until Metadata review, Package integrity are resolved.
36/100
tools/docling · trust review
Freshness distribution
Median age 52 days; 4 fresh, 1 aging or stale of 5 scanned.
Oldest entries in this view
Theme distribution
100% of this view shares the top theme. Leading themes: ocr, documents, python.
23 distinct themes across 5 scanned
Pull text out of images, scans, and PDFs with the Tesseract OCR engine and OpenCV preprocessing. Run OCR in 100+ languages, read per-word confidence and page orientation (OSD), binarize and deskew for accuracy, and reconstruct tables into CSV or JSON.
Python framework for autonomous AI agents, traditional agents, custom tools, MCP tools, prebuilt autonomous agents, workspace-restricted file and shell operations, E2B sandbox execution, OCR, document processing, and vector storage integrations.
Open-source toolkit from the Docling project for parsing PDF, DOCX, PPTX, XLSX, HTML, images, and more into a unified DoclingDocument, with advanced PDF understanding, OCR, and exports to Markdown and JSON for gen AI and RAG workflows.
Document intelligence MCP server for extracting text, metadata, OCR output, structured data, embeddings, chunks, cache state, and supported-format information from PDFs, Office files, images, code, and many other formats.
MCP server that converts PDFs, Office files, images, audio, webpages, YouTube transcripts, and existing Markdown files into Markdown.