StackMCP
Advanced

Monitoring & Observability Stack

Gain full visibility into your production systems with metrics, dashboards, error tracking, alerting, and incident response workflows.

5 servers48.4K tokens24% of context

Token Budget

48.4K used (24.2%)151.6K remaining
Grafana MCP22.1K (11.1%)
GitHub MCP10.3K (5.1%)
Datadog MCP7.7K (3.9%)
Sentry MCP4.1K (2.1%)
Slack MCP (Official)4.1K (2.1%)

Moderate token usage. You will have good room for prompts but watch if adding more servers.

Config

Paste in ~/.claude.json

json
{
  "mcpServers": {
    "grafana-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@leval/mcp-grafana"
      ],
      "env": {
        "GRAFANA_URL": "YOUR_GRAFANA_URL",
        "GRAFANA_API_KEY": "YOUR_GRAFANA_API_KEY"
      }
    },
    "github-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-github"
      ],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "YOUR_GITHUB_PERSONAL_ACCESS_TOKEN"
      }
    },
    "datadog-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "datadog-mcp-server"
      ],
      "env": {
        "DD_API_KEY": "YOUR_DD_API_KEY",
        "DD_APP_KEY": "YOUR_DD_APP_KEY"
      }
    },
    "sentry-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "sentry-mcp"
      ],
      "env": {
        "SENTRY_AUTH_TOKEN": "YOUR_SENTRY_AUTH_TOKEN"
      }
    },
    "slack-official-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-slack"
      ],
      "env": {
        "SLACK_BOT_TOKEN": "YOUR_SLACK_BOT_TOKEN",
        "SLACK_TEAM_ID": "YOUR_SLACK_TEAM_ID"
      }
    }
  }
}

Included Servers

Datadog MCP

Datadog

76
analytics

Access Datadog monitoring data including dashboards, metrics, logs, events, incidents, and monitors from your AI editor.

280614/wk7.7K tokens(4%)Official1w ago

Collect and analyze infrastructure metrics, application traces, and logs from every layer of your stack in one unified platform.

Sentry MCP

Sentry

70
monitoring

Query Sentry for error tracking, performance monitoring, and issue management directly from your AI editor.

5645/wk4.1K tokens(2%)Official4d ago

Capture application errors with full stack traces and context, tracking error frequency and impact across releases.

Recommended Skills

Skills that pair with the servers in this stack. Learn more

For Sentry MCP

Sentry Observabilityworkflow

Read-only observability: list issues, view events, monitor production errors via Sentry API. Includes bundled Python script.

npx skillsadd openai/skills/sentry

For GitHub MCP

GitHub CLI Workflowsworkflow

Use gh CLI for all GitHub operations including stacked PR workflows, issue management, and CI/CD automation.

npx skillsadd callstackincubator/agent-skills/github
Fix CI Failuresworkflow

Debug and fix failing GitHub PR checks in GitHub Actions. Automatically diagnoses CI issues and suggests fixes.

npx skillsadd openai/skills/gh-fix-ci
Address PR Commentsworkflow

Address PR review comments using GitHub CLI. Streamlines the code review response workflow.

npx skillsadd openai/skills/gh-address-comments
Code Reviewerrole

Automated code review for TypeScript, JavaScript, Python, Go. Analyzes PRs for complexity, SOLID violations, and code smells.