Install payload
Install payload is broadly covered in current results.
100% (3/3)
Safety notes filter active — add entries to compare trust side by side.
3 results in this view
2 trust signals differ in this sample: Source provenance, Submitter
Signals differ on 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.
100% (3/3)
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/jupyter-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/neo4j-mcp-server · trust review · confidence 67%
1 blockers: Metadata review
38/100
Request metadata review from maintainers or internal owners.
Document privacy posture and data handling expectations.
Collect package checksum or signed artifact information.
rules/python-data-science · 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/jupyter-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/neo4j-mcp-server · trust review
Hold adoption until Metadata review, Privacy notes are resolved.
42/100
rules/python-data-science · trust review
Freshness distribution
Median age 52 days; 2 fresh, 1 aging or stale of 3 scanned.
Oldest entries in this view
Theme distribution
67% of this view shares the top theme. Leading themes: data-science, python, code-execution.
13 distinct themes across 3 scanned
MCP server for connecting Claude to Jupyter notebooks, kernels, files, cells, multimodal outputs, and JupyterLab workflows over stdio or Streamable HTTP.
Turn Claude into a practical pandas data-wrangling partner for loading, cleaning, reshaping, and aggregating tabular data with the pandas DataFrame API
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.