AgentSkillsCN

setup-aspire-mcp

配置 Aspire MCP 服务器，使 AI 代理能够访问日志、指标与追踪数据。通过此配置，可实现对 Aspire 可观测性数据的程序化访问。

SKILL.md
--- frontmatter
name: setup-aspire-mcp
description: Configure Aspire MCP server for AI agent access to logs, metrics, and traces. Use this to enable programmatic access to Aspire observability data.

Follow this guide to set up the Aspire MCP server for agent access to logs and metrics.

What is Aspire MCP?

Aspire MCP (Model Context Protocol) server exposes Aspire's observability data to AI agents:

  • •Console logs: Real-time stdout/stderr from all services
  • •Structured logs: Filterable logs with correlation IDs
  • •Metrics: CPU, memory, HTTP request metrics
  • •Traces: Distributed tracing across services

Setup Steps

// turbo

  1. •

    Initialize Aspire MCP

    bash
    cd /home/avazalma/projects/BookStore && aspire mcp init
    • •Creates MCP configuration in the project
    • •Sets up connection between Aspire and MCP clients
  2. •

    Verify MCP Configuration

    • •Check that MCP server config was created
    • •Aspire MCP integrates with Claude and other MCP-compatible agents

Using Aspire MCP

Once configured, the MCP server provides tools for:

  • •Querying logs: Filter by service, log level, time range
  • •Viewing metrics: Get current metric values and trends
  • •Tracing requests: Follow requests across services via correlation IDs
  • •Monitoring health: Check service status and health endpoints

Example Usage

After setup, agents can:

  • •Query logs: "Show me errors from the API service in the last 5 minutes"
  • •Check metrics: "What's the current memory usage of the web frontend?"
  • •Debug issues: "Find all logs with correlation ID xyz-123"

Related Skills

Prerequisites:

  • •/start-solution - Solution must be running first

Next Steps:

  • •/debug-sse - Debug real-time issues using MCP logs
  • •/debug-cache - Debug caching using MCP metrics

See Also: