MCP Echarts vs Indraft
A side-by-side look at the MCP Echarts and Indraft MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Echarts for customer data platforms work as a local process; choose Indraft for customer data platforms over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose MCP Echarts when
- You need dedicated capabilities in the Customer Data Platforms domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
generate_echarts, generate_area_chart, generate_line_chart.
Choose Indraft when
- You need dedicated capabilities in the Customer Data Platforms domain.
- You prefer a remote HTTP/SSE transport.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Customer Data Platforms | Customer Data Platforms |
| Quality signal | 68/100 · Great | 37/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | No auth required | Not declared |
| Pricing | Free | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 270 | 0 |
| Directory activity | 5 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 18 | Not listed |
| Full listing | View MCP Echarts | View Indraft |
Tools & capabilities
MCP Echarts tools 18
generate_echartsGenerate visual charts using Apache ECharts with echarts option and configuration dynamically. Apache ECharts is an Open Source JavaScript Visualization Library, which is used to create interactive charts and visualizations in web applications. It supports a wide range of chart types, including line charts, bar charts, pie charts, scatter plots, and more. ECharts is highly customizable and can be integrated with various data sources to create dynamic visualizations.generate_area_chartGenerate an 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_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_bar_chartGenerate a bar chart to show data for numerical comparisons among different categories, such as, comparing categorical data and for horizontal comparisons.generate_pie_chartGenerate a pie chart to show the proportion of parts, such as, market share and budget allocation.generate_radar_chartGenerate a radar chart to display multidimensional data (four dimensions or more), such as, evaluate Huawei and Apple phones in terms of five dimensions: ease of use, functionality, camera, benchmark scores, and battery life.generate_scatter_chartGenerate a scatter chart to show the relationship between two variables, helps discover their relationship or trends, such as, the strength of correlation, data distribution patterns.generate_sankey_chartGenerate 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 purchase.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_gauge_chartGenerate a gauge chart to display single indicator's current status, such as, CPU usage rate, completion progress, or performance scores.generate_treemap_chartGenerate 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 treemap.generate_sunburst_chartGenerate a sunburst chart to display multi-level hierarchical data, such as, organizational structure, file system hierarchy, or category breakdown.- +6 more on the listing page
Indraft tools
No tool names declared yet. Check the project README from 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 Echarts
{
"mcpServers": {
"hustcc-mcp-echarts": {
"command": "npx",
"args": [
"-y",
"mcp-echarts"
]
}
}
}
Indraft
{
"mcpServers": {
"indraft": {
"url": "https://api.indraft.io/mcp"
}
}
}
Frequently asked questions
MCP Echarts is categorized under Customer Data Platforms and uses a local stdio subprocess. Indraft belongs to Customer Data Platforms and uses a remote HTTP/SSE transport. Pick MCP Echarts for customer data platforms work and Indraft for customer data platforms.
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 Echarts is listed as free. Auth: no auth required. Indraft 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 hustcc-mcp-echarts and indraft as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Echarts has a quality signal of 68/100 (Great) with 5 views, 0 installs and 270 GitHub stars. Indraft has 37/100 (Fair) with 1 views, 0 installs and 0 GitHub stars.