Create advanced data visualizations and plots for analysis and presentation.
The available material is very limited, but current facts indicate this is an open-source plotting MCP tool from an official registry, with no required secrets and no declared remote endpoints, and no clear high-risk red flags. The main cautions are its local code-execution nature as an MCP server, plus an undeclared license and low community adoption.
The material states that no keys or environment variables are required. No API tokens, account credentials, or other sensitive authentication secrets are mentioned, so credential leakage or abuse risk appears low.
No remote host is declared, and the material does not state that user data is sent to any external service. Based on the available facts, there is no clear data-egress path.
The system checks indicate that this tool executes code. As an MCP server, it typically runs locally to perform plotting/visualization tasks. This is a normal capability for this class of tool; the current material does not show additional high-risk system privilege requests, but it should still be treated cautiously as a local execution component.
The description only says it provides advanced data visualization and plotting, which typically means it processes user-supplied data and may generate local chart outputs; however, the material does not clearly specify which files or directories it can read or write. There is no clear evidence of overbroad access, but the data input/output boundary is not well defined, so access should be minimized.
Positive factors include being from an official registry, open source and auditable, and updated within the last year. Cautions are its currently low community adoption (0 stars) and undeclared license, which weaken ecosystem validation and reuse/compliance clarity; however, based on current facts, this is not enough to make it high risk.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "CLIO Plot" MCP server from askskill: Run: claude mcp add 'io-github-iowarp-plot-mcp' -- npx -y clio-kit
Manage, automate, and monitor high-performance computing pipelines and research workflows.
Analyze saved earthquake catalogs for sequence characteristics and completeness magnitude metrics.
Process and sort large log files in parallel for faster analysis.
Connect to Slurm clusters to inspect jobs, queues, and HPC scheduling tasks.
Perform advanced data analysis and dataframe operations with comprehensive Pandas capabilities.
Visualize and analyze scientific data through a ParaView MCP server.
Render GeoJSON layers into high-quality basemapped map images.
Generate type-safe charts through MCP for AI apps using structured data.
Create data visualizations from structured data as inline SVG or PNG files.
Generate rich charts and support data analysis for clearer visual communication.
Discover scientific datasets for remote agents through an operator-owned MCP tool.
Analyze terrain and point clouds for slope, aspect, suitability, and gridding.