MCP Manimgl vs MCP Server Chart
A side-by-side look at the MCP Manimgl and MCP Server Chart MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Manimgl for data visualization work as a local process; choose MCP Server Chart for data visualization as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose MCP Manimgl when
- You need dedicated capabilities in the Data Visualization domain.
- You prefer a local stdio subprocess transport.
- You want tools like
create_scene, get_scene_info, clear_scene.
Choose MCP Server Chart when
- You need dedicated capabilities in the Data Visualization domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
generate_area_chart, generate_bar_chart, generate_boxplot_chart.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Data Visualization | Data Visualization |
| Quality signal | 53/100 · Good | 71/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 4,402 |
| Directory activity | 1 views 0 installs 0 upvotes | 10 views 0 installs 0 upvotes |
| Tools | 58 | 27 |
| Full listing | View MCP Manimgl | View MCP Server Chart |
Tools & capabilities
MCP Manimgl tools 58
create_sceneCreate a new manimgl scene with the given configuration. IMPORTANT: Always use MCP tools for scene operations. Do NOT write or execute standalone manim scripts.get_scene_infoGet the current scene's configuration and element counts. IMPORTANT: Always use MCP tools for scene operations.clear_sceneRemove all mobjects and animations from the current scene. IMPORTANT: Always use MCP tools for scene operations.add_waitAdd a wait/pause to the scene timeline. IMPORTANT: Always use MCP tools for scene operations.save_stateSave the current scene state for later restoration. IMPORTANT: Always use MCP tools for scene operations.restore_stateRestore the scene to a previously saved state. IMPORTANT: Always use MCP tools for scene operations.set_cameraConfigure the camera position and/or orientation. IMPORTANT: Always use MCP tools for scene operations.set_configSet global rendering configuration parameters. IMPORTANT: Always use MCP tools for scene operations.add_custom_codeInject custom Python code into the scene script. The code will be inserted inside the construct() method body. Use this for advanced manim functionality not covered by other tools. IMPORTANT: Always use MCP tools for scene operations. Do NOT write or execute standalone manim scripts.verify_scene_overlapsDetect overlapping visual elements (mobjects) in the current scene. Computes axis-aligned bounding boxes for each mobject based on its stored position and dimension properties (radius, width, height, side_length, font_size). Reports any pair whose bounding boxes intersect. NOTE: Positions are only reliably updated by move_to(). After shift/scale/rotate/next_to/align_to, the stored position may be stale. Text and TeX dimensions are estimated from font_size and character count — actual rendered glyphs may differ.generate_scene_scriptGenerate the full Python script for the current scene. IMPORTANT: Always use MCP tools for scene operations. Do NOT write or execute standalone manim scripts. Use render_scene() and get_render_result() for rendering instead.add_circle- +46 more on the listing page
MCP Server Chart tools 27
generate_area_chartGenerate a area chart to show data trends under continuous independent variables and observe the overall data trend, such as, displacement = velocity (average or instantaneous) × time: s = v × t. If the x-axis is time (t) and the y-axis is velocity (v) at each moment, an area chart allows you to observe the trend of velocity over time and infer the distance traveled by the area's size.generate_bar_chartGenerate a horizontal bar chart to show data for numerical comparisons among different categories, such as, comparing categorical data and for horizontal comparisons.generate_boxplot_chartGenerate a boxplot chart to show data for statistical summaries among different categories, such as, comparing the distribution of data points across categories.generate_column_chartGenerate 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 at judging height than other visual elements like area or angles.generate_district_mapGenerates regional distribution maps, which are usually used to show the administrative divisions and coverage of a dataset. It is not suitable for showing the distribution of specific locations, such as urban administrative divisions, GDP distribution maps of provinces and cities across the country, etc. This tool is limited to generating data maps within China.generate_dual_axes_chartGenerate 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 both the trend and comparison of data, such as, the trend of sales and profit over time.generate_fishbone_diagramGenerate 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 and the causes/effects as the fish bones. It suits problems that can be split into multiple related factors.generate_flow_diagramGenerate 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_chartGenerate 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 website to completing a purchase.generate_histogram_chartGenerate a histogram chart to show the frequency of data points within a certain range. It can observe data distribution, such as, normal and skewed distributions, and identify data concentration areas and extreme points.generate_line_chartGenerate 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_chartGenerate 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 project.- +15 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
MCP Manimgl
{
"mcpServers": {
"mcp-manimgl": {
"command": "uvx",
"args": [
"mcp-manimgl"
]
}
}
}
MCP Server Chart
{
"mcpServers": {
"antv-mcp-server-chart": {
"command": "npx",
"args": [
"-y",
"@antv/mcp-server-chart"
]
}
}
}
Frequently asked questions
MCP Manimgl is categorized under Data Visualization and uses a local stdio subprocess. MCP Server Chart belongs to Data Visualization and uses a local stdio subprocess. Pick MCP Manimgl for data visualization work and MCP Server Chart for data visualization.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
MCP Manimgl has no declared pricing — check the project's own site. MCP Server Chart is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add mcp-manimgl and antv-mcp-server-chart as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Manimgl has a quality signal of 53/100 (Good) with 1 views, 0 installs and 0 GitHub stars. MCP Server Chart has 71/100 (Great) with 10 views, 0 installs and 4,402 GitHub stars.