mcp-server-chart vs task-orchestrator
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | task-orchestrator by jpicklyk | |
|---|---|---|
| Stars | ★ 4,068 | ★ 183 |
| 30d uses | 10,239 | — |
| Score | 84 | 48 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Developer ToolsAI / LLM ToolsProductivity |
| Language | TypeScript | Kotlin |
| 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.
task-orchestrator · Summary
MCP server providing server-enforced workflow discipline for AI agents with persistent work items, dependency graphs, and actor attribution.
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
task-orchestrator · Use cases
- Managing complex multi-agent AI development workflows
- Enforcing documentation requirements before implementation
- Tracking which AI agent made which changes across sessions
- Validating dependency ordering in complex projects
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"]
}
}
}task-orchestrator · Install
Installation with Docker
# Pull the latest image
docker pull ghcr.io/jpicklyk/task-orchestrator:latest
# Register with Claude Code
claude mcp add-json mcp-task-orchestrator '{
"command": "docker",
"args": [
"run", "--rm", "-i",
"-v", "mcp-task-data:/app/data",
"ghcr.io/jpicklyk/task-orchestrator:latest"
]
}'
# For MCP clients: add to .mcp.json
{
"mcpServers": {
"mcp-task-orchestrator": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-v", "mcp-task-data:/app/data",
"ghcr.io/jpicklyk/task-orchestrator:latest"
]
}
}
}