mcp-server-chart vs mcp-logseq
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | mcp-logseq by ergut | |
|---|---|---|
| Stars | ★ 4,068 | ★ 267 |
| 30d uses | 10,239 | — |
| Score | 84 | 51 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Knowledge GraphProductivityAI / LLM Tools |
| Language | TypeScript | Python |
| Last commit | this month | 2 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
mcp-logseq · Summary
An MCP server connecting Claude to LogSeq knowledge bases with read/write capabilities and optional vector search.
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
mcp-logseq · Use cases
- Automate knowledge organization by creating summaries from recent notes and project updates
- Enhance research capabilities with cross-language semantic search across knowledge bases
- Streamline documentation workflows by generating meeting notes and task pages from existing content
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"]
}
}
}mcp-logseq · Install
Step 1: Enable LogSeq API
- **Settings** → **Features** → Check "Enable HTTP APIs server"
- Click the **API button (🔌)** in LogSeq → **"Start server"**
- **Generate API token**: API panel → "Authorization tokens" → Create new
Step 2: Add to Claude (No Installation Required!)
Claude Desktop
Add to your config file (Settings → Developer → Edit Config):
{
"mcpServers": {
"mcp-logseq": {
"command": "uv",
"args": ["run", "--with", "mcp-logseq", "mcp-logseq"],
"env": {
"LOGSEQ_API_TOKEN": "your_token_here",
"LOGSEQ_API_URL": "http://localhost:12315"
}
}
}
}