This demo video shows how the AgentGo MCP Service is used in Cursor to support authentication, agent scoring, and market data visualization
Agent_go is an MCP project maintained in the quan3xin/agentgo-mcp-service repository. The maintainer describes its purpose as “This demo video shows how the AgentGo MCP Service is used in Cursor to support authentication, agent scoring, and market data visualization”. Read the project documentation for the complete scope.
The project provides a local client configuration using python3. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
The example declares AGENT_ADDRESS. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| trustgo_login | Execute login verification with blockchain wallet |
| query_sigma_score | Query agent Sigma score and capability metrics |
| query_price_bubble | Get price bubble chart data for market visualization |
| query_sigma_score_bubble | Get score bubble chart data for agent analysis |
| query_market_share_bubble | Get market share bubble chart data with time options |
| apply_sigma_certification | Apply for Sigma certification (personal or proxy) |
{
"mcpServers": {
"AgentGoMcp": {
"command": "python3",
"args": [
"gentgo_mcp_service.py"
],
"env": {
"AGENT_ADDRESS": "0x39a39981bF87EE0e8E9D6434A56f00758c9666f0"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| AGENT_ADDRESS | Declared in the maintainer’s client configuration. | Check documentation |
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