MCP Server Chart vs Meteors

A side-by-side look at the MCP Server Chart and Meteors MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

MCP Server Chart logoMCP Server ChartData Visualization · Local subprocess (stdio)A Model Context Protocol server for generating visual charts using AntV.71GreatAuth: no auth requiredMeteors logoMeteorsAerospace & Astrodynamics · Local subprocess (stdio)Meteors MCP — NASA fireball, near-Earth asteroid, and close approach data59GoodAuth: not declared

Verdict: choose MCP Server Chart for data visualization work as a local process; choose Meteors for aerospace & astrodynamics as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

MCP Server Chart logoChoose 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.
Explore MCP Server Chart

Meteors logoChoose Meteors when

  • You need dedicated capabilities in the Aerospace & Astrodynamics domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like get_fireballs, get_close_approaches, get_neo_feed.
Explore Meteors

Feature & specification comparison

Rows where the two servers differ are marked.

SpecMCP Server Chart logoMCP Server ChartMeteors logoMeteors
CategoryData VisualizationAerospace & Astrodynamics
Quality signal71/100 · Great59/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNo auth requiredNot declared
PricingFreeNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars4,4020
Directory activity 10 views 0 installs 0 upvotes 2 views 0 installs 0 upvotes
Tools273

Tools & capabilities

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

Meteors tools 3

  • get_fireballsTrack recent meteor impacts and atmospheric explosions detected by US government sensors. Returns impact energy, radiated energy, velocity, altitude, and geographic location.
  • get_close_approachesFind near-Earth asteroids making close approaches within 0.05 AU. Returns object name, approach date, miss distance, velocity, and diameter to identify potentially hazardous objects.
  • get_neo_feedGet near-Earth objects passing Earth during a date range (e.g., "2024-01-01" to "2024-12-31"). Returns asteroid names, sizes, velocities, miss distances, and hazard status.

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 Server Chart

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "antv-mcp-server-chart": {
      "command": "npx",
      "args": [
        "-y",
        "@antv/mcp-server-chart"
      ]
    }
  }
}

Meteors

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "meteors": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-meteors"
      ]
    }
  }
}

Frequently asked questions

MCP Server Chart is categorized under Data Visualization and uses a local stdio subprocess. Meteors belongs to Aerospace & Astrodynamics and uses a local stdio subprocess. Pick MCP Server Chart for data visualization work and Meteors for aerospace & astrodynamics.

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 Server Chart is listed as free. Auth: no auth required. Meteors has no declared pricing — check the project's own site. 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 antv-mcp-server-chart and meteors as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, MCP Server Chart has a quality signal of 71/100 (Great) with 10 views, 0 installs and 4,402 GitHub stars. Meteors has 59/100 (Good) with 2 views, 0 installs and 0 GitHub stars.