Install payload
Install payload is broadly covered in current results.
100% (2/2)
Browse the directory
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Showing 2 resources for "data-science"
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Active
Source-backed filter active — add entries to compare trust side by side.
Rollout signal scan
2 rollout risk signals in current results
Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.
good
Most at-risk entries in this view
Adoption queue
Browse adoption queue · balanced
0/2 visible results are ready for staged adoption under this preset.
ready 0caution 2hold 0
Jupyter MCP Server
1 blockers: Metadata review
caution
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/jupyter-mcp-server · trust review · confidence 67%
Neo4j MCP Server
1 blockers: Metadata review
caution
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/neo4j-mcp-server · trust review · confidence 67%
Decision confidence
Decision confidence scan · balanced
0/2 results are high-confidence for the selected preset.
high 0medium 2low 0
Jupyter MCP Server
Address Metadata review, Package integrity before broader rollout.
medium
54/100
Missing: Metadata reviewMissing: Package integrity
mcp/jupyter-mcp-server · trust review
Neo4j MCP Server
Address Metadata review, Package integrity before broader rollout.
medium
54/100
Missing: Metadata reviewMissing: Package integrity
mcp/neo4j-mcp-server · trust review
Freshness distribution
Current results are broadly fresh
Median age 52 days; all 2 scanned entries are within 90 days.
Jupyter MCP Serverby Datalayer · submitted by oktofeesh1
MCP server for connecting Claude to Jupyter notebooks, kernels, files, cells, multimodal outputs, and JupyterLab workflows over stdio or Streamable HTTP.
Neo4j MCP Serverby Neo4j · submitted by oktofeesh1
Official Neo4j MCP server for giving Claude structured access to Neo4j graph schema introspection, read-only Cypher, optional write Cypher, and Graph Data Science procedure discovery.