mcp-server-chart vs AgentRelay
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | AgentRelay by mnemox-ai | |
|---|---|---|
| Stars | ★ 4,068 | ★ 63 |
| 30d uses | 10,239 | — |
| Score | 84 | 46 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsProductivity |
| 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.
AgentRelay · Summary
AgentRelay is an MCP server that coordinates verified microtasks between AI agents to optimize idle compute capacity.
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
AgentRelay · Use cases
- Distributing AI workloads across multiple agents to maximize utilization of paid API quotas
- Creating a validation layer for AI-generated outputs without human intervention
- Building reputation systems for autonomous AI agents based on verified performance
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"]
}
}
}AgentRelay · Install
Installation
**Docker (recommended)**
git clone https://github.com/mnemox-ai/AgentRelay.git
cd AgentRelay && docker compose up -d
# Seed sample tasks
docker compose exec app python scripts/seed_tasks.py**pip**
pip install agentrelay-protocol**MCP Configuration (Claude Desktop / Claude Code)**
{
"mcpServers": {
"agentrelay": {
"command": "python",
"args": ["-m", "agentrelay"],
"env": {
"DATABASE_URL": "postgresql+asyncpg://user:pass@localhost:5432/agentrelay",
"REDIS_URL": "redis://localhost:6379/0"
}
}
}
}