mcp-server-chart vs observee
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | observee by observee-ai | |
|---|---|---|
| Stars | ★ 4,068 | ★ 41 |
| 30d uses | 10,239 | — |
| Score | 84 | 42 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsCommunication |
| Language | TypeScript | Python |
| Last commit | this month | 9 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
observee · Summary
SDK for building AI agents with MCPs, featuring 1000+ integrations, OAuth management and observability tools.
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
observee · Use cases
- Building AI agents that can access Gmail, Slack, and other services with proper authentication
- Implementing tool calling for AI applications with pre-built MCP integrations
- Monitoring and logging AI agent usage and performance in production environments
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"]
}
}
}observee · Install
Installation
**TypeScript/JavaScript:**
# Install everything at once
npm install @observee/sdk
# Or install individual packages
npm install @observee/agents @observee/auth @observee/logger**Python:**
# Install individual packages
pip install mcp-agents agent-oauth mcp-logger
# Or install all at once
pip install observee**Claude Desktop Configuration:** Add to claude_desktop_config.json:
{
"mcpServers": {
"observee": {
"command": "python",
"args": ["-m", "observee_agents"]
}
}
}