mcp-server-chart vs sec-edgar-mcp
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | sec-edgar-mcp by stefanoamorelli | |
|---|---|---|
| Stars | ★ 4,068 | ★ 266 |
| 30d uses | 10,239 | — |
| Score | 84 | 51 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | FinanceAI / LLM ToolsDeveloper Tools |
| Language | TypeScript | Python |
| Last commit | this month | this month |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
sec-edgar-mcp · Summary
MCP server providing AI assistants with precise access to SEC EDGAR financial filings and company data.
mcp-server-chart · Use cases
- Data analysts creating visual reports from datasets
- AI assistants generating custom charts based on user requests
- Web applications embedding visualization capabilities via HTTP API
sec-edgar-mcp · Use cases
- Financial analysis and research using parsed SEC data
- Compliance monitoring through automated filing analysis
- Investment decision support with accurate company financials
mcp-server-chart · Install
Installation
Install globally:
npm install -g @antv/mcp-server-chartFor Desktop Apps (e.g., Claude Desktop, VSCode):
{
"mcpServers": {
"mcp-server-chart": {
"command": "npx",
"args": ["-y", "@antv/mcp-server-chart"]
}
}
}For Windows:
{
"mcpServers": {
"mcp-server-chart": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@antv/mcp-server-chart"]
}
}
}sec-edgar-mcp · Install
Installation
Docker (Recommended)
{
"mcpServers": {
"sec-edgar-mcp": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "SEC_EDGAR_USER_AGENT=Your Name (your@email.com)",
"stefanoamorelli/sec-edgar-mcp:latest"
]
}
}
}Other Methods
Other installation methods (pip, conda, uv) are available in the [documentation](https://sec-edgar-mcp.amorelli.tech/setup/quickstart).
HTTP Transport
For platforms like Dify, use streamable HTTP:
python -m sec_edgar_mcp.server --transport streamable-http --port 9870