Pandas Data Analysis
This MCP server for pandas analysis, developed by an unnamed author, provides AI assistants with powerful data manipulation and analysis capabilities. Built with Python and leveraging libraries like pandas, numpy, and matplotlib, it offers a standardized interface for data processing, statistical analysis, and visualization tasks. The server abstracts the complexities of pandas operations, allowing AI systems to easily incorporate data analysis into their workflows. It's containerized using Docker for easy deployment and scalability. This implementation is particularly valuable for data scientists, analysts, and AI researchers working on data-driven projects, enabling use cases such as exploratory data analysis, time series forecasting, and automated report generation across various domains.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/alistairwalsh/mcp_pandas
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Pandas Data Analysis from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.