# antvis/mcp-server-chart

🤖 A visualization mcp & skills contains 25+ visual charts using @antvis. Using for chart generation and data analysis.

- **Type:** MCP server
- **Trust:** 60/100 (B), scored on the content rubric
- **Verification:** community-indexed — nobody has claimed this listing
- **Author:** antvis
- **License:** MIT
- **Source:** https://github.com/antvis/mcp-server-chart

## Trust

60/100 (B), scored on the content rubric
- Publisher verified: no
- Install scripts: nothing suspicious found
- Prompt-injection scan: clean
- Obfuscation scan: clean
- Evidence age: 0 days

## Security scan

- **Status:** clean
- **Scanned:** 2026-10-12T21:15:01.123Z
- **Version scanned:** HEAD
- **CVEs:** no coverage — this entry has no package coordinates to query OSV against, so "no known CVEs" is NOT asserted for it.

## Tools

27 declared. Statically extracted from the shipped source — a floor on the surface, not a census.
- `generate_area_chart` — Generate a area chart to show data trends under continuous independent variables and observe the overall data trend, such as, displacement = velocity (average o
- `generate_bar_chart` — Generate a horizontal bar chart to show data for numerical comparisons among different categories, such as, comparing categorical data and for horizontal compar
- `generate_boxplot_chart` — Generate a boxplot chart to show data for statistical summaries among different categories, such as, comparing the distribution of data points across categories
- `generate_column_chart` — Generate a column chart, which are best for comparing categorical data, such as, when values are close, column charts are preferable because our eyes are better
- `generate_district_map` — Generates regional distribution maps, which are usually used to show the administrative divisions and coverage of a dataset. It is not suitable for showing the 
- `generate_dual_axes_chart` — Generate a dual axes chart which is a combination chart that integrates two different chart types, typically combining a bar chart with a line chart to display 
- `generate_fishbone_diagram` — Generate a fishbone diagram chart to uses a fish skeleton, like structure to display the causes or effects of a core problem, with the problem as the fish head 
- `generate_flow_diagram` — Generate a flow diagram chart to show the steps and decision points of a process or system, such as, scenarios requiring linear process presentation.
- `generate_funnel_chart` — Generate a funnel chart to visualize the progressive reduction of data as it passes through stages, such as, the conversion rates of users from visiting a websi
- `generate_histogram_chart` — Generate a histogram chart to show the frequency of data points within a certain range. It can observe data distribution, such as, normal and skewed distributio
- `generate_line_chart` — Generate a line chart to show trends over time, such as, the ratio of Apple computer sales to Apple's profits changed from 2000 to 2016.
- `generate_liquid_chart` — Generate a liquid chart to visualize a single value as a percentage, such as, the current occupancy rate of a reservoir or the completion percentage of a projec
- `generate_mind_map` — Generate a mind map chart to organizes and presents information in a hierarchical structure with branches radiating from a central topic, such as, a diagram sho
- `generate_network_graph` — Generate a network graph chart to show relationships (edges) between entities (nodes), such as, relationships between people in social networks.
- `generate_organization_chart` — Generate an organization chart to visualize the hierarchical structure of an organization, such as, a diagram showing the relationship between a CEO and their d
- `generate_path_map` — Generate a route map to display the user's planned route, such as travel guide routes.
- `generate_pie_chart` — Generate a pie chart to show the proportion of parts, such as, market share and budget allocation.
- `generate_pin_map` — Generate a point map to display the location and distribution of point data on the map, such as the location distribution of attractions, hospitals, supermarket
- `generate_radar_chart` — Generate a radar chart to display multidimensional data (four dimensions or more), such as, evaluate Huawei and Apple phones in terms of five dimensions: ease o
- `generate_sankey_chart` — Generate a sankey chart to visualize the flow of data between different stages or categories, such as, the user journey from landing on a page to completing a p
- `generate_scatter_chart` — Generate a scatter chart to show the relationship between two variables, helps discover their relationship or trends, such as, the strength of correlation, data
- `generate_spreadsheet` — Generate a spreadsheet or pivot table for displaying tabular data. When 'rows' or 'values' fields are provided, it renders as a pivot table (cross-tabulation); 
- `generate_treemap_chart` — Generate a treemap chart to display hierarchical data and can intuitively show comparisons between items at the same level, such as, show disk space usage with 
- `generate_venn_chart` — Generate a Venn diagram to visualize the relationships between different sets, showing how they intersect and overlap, such as the commonalities and differences
- `generate_violin_chart` — Generate a violin chart to show data for statistical summaries among different categories, such as, comparing the distribution of data points across categories.
- `generate_waterfall_chart` — Generate a waterfall chart to visualize the cumulative effect of sequentially introduced positive or negative values, such as showing how an initial value is af
- `generate_word_cloud_chart` — Generate a word cloud chart to show word frequency or weight through text size variation, such as, analyzing common words in social media, reviews, or feedback.

## Install

This entry has no npm package and no hosted endpoint, so there is nothing for an MCP client to launch or connect to. It is indexed as source only.

## Blast radius

Contained to moderate — no credential declaration found, from the publisher, the upstream registry, or the README. Known so far: read-only tool surface.
- Floor 3, ceiling 33 (tier: unknown)
- `unknown` means the floor and ceiling land in different bands — not measured enough to name one. It does not mean low.
- This is impact, not likelihood. A high radius is not a defect: a filesystem server is supposed to write files. It is never part of the trust score.

## Machine-readable views of this entry

- Signed JSON: https://forgeregistry.com/api/v1/packages/antvis%2Fmcp-server-chart
- Install plan: https://forgeregistry.com/api/v1/packages/antvis%2Fmcp-server-chart/install-plan
- Alternatives: https://forgeregistry.com/api/v1/alternatives/antvis%2Fmcp-server-chart
- HTML page: https://forgeregistry.com/registry/antvis%2Fmcp-server-chart
- MCP: POST https://forgeregistry.com/api/mcp → `forge_get_package` / `forge_install_plan`

## About this document

Generated by Forge (https://forgeregistry.com) — a compact rendering of the same record served, signed, at the JSON URL above. Trust and scan facts are the registry's own measurements; anything Forge did not measure is named as unmeasured rather than omitted.