What is the key difference between Calories Club: AI Food Tracker and Mcp Grafana?

Calories Club: AI Food Tracker belongs to the Monitoring category with cloud HTTP/SSE execution, while Mcp Grafana belongs to the Monitoring category with local stdio execution.

How do I install Calories Club: AI Food Tracker or Mcp Grafana in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Calories Club: AI Food Tracker and Mcp Grafana free or paid?

Calories Club: AI Food Tracker operates under a Free / Open Source model (No auth required). Mcp Grafana operates under a BYOK (Pay Provider Direct) model (API Key required).

Which MCP server has more tools and community activity?

Calories Club: AI Food Tracker lists 0 tools with 0 views and 0 GitHub stars. Mcp Grafana lists 65 tools with 3 views and 3,330 GitHub stars.

Can I use both Calories Club: AI Food Tracker and Mcp Grafana together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

How do I install Calories Club: AI Food Tracker or Mcp Grafana in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Calories Club: AI Food Tracker and Mcp Grafana free to use, or do they require API keys?

Calories Club: AI Food Tracker is listed under a Free / Open Source model with No auth required . Mcp Grafana operates under a BYOK (Pay Provider Direct) model with API Key required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Calories Club: AI Food Tracker and Mcp Grafana at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both calories-club-ai-food-tracker-2 and grafana-mcp-grafana as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Calories Club: AI Food Tracker has a Quality Score of 30 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Mcp Grafana holds a Quality Score of 68 /100 ( Great ) with 3 views, 0 installs, and 3,330 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Calories Club: AI Food Tracker vs Mcp Grafana

In-depth architectural comparison of the Calories Club: AI Food Tracker and Mcp Grafana MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Calories Club: AI Food Tracker

Monitoring · Remote HTTP/SSE

Quality: 30/100 (Emerging) | Auth: No auth required

Mcp Grafana

Monitoring · Local stdio

Quality: 68/100 (Great) | Auth: API Key required

Verdict Summary: Choose Calories Club: AI Food Tracker if you need specialized Monitoring tools running via a hosted cloud SSE transport. Choose Mcp Grafana if your workspace requires Monitoring integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Calories Club: AI Food Tracker when:

You need dedicated capabilities in the Monitoring domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Calories Club: AI Food Tracker Details

Choose Mcp Grafana when:

You need dedicated capabilities in the Monitoring domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
You have access to required keys: GRAFANA_URL, GRAFANA_SERVICE_ACCOUNT_TOKEN.
Primary tools included: add_activity_to_incident, alerting_manage_routing, alerting_manage_rules.

Explore Mcp Grafana Details

Feature & Specification Comparison

Specification	C Calories Club: AI Food Tracker Monitoring	Mcp Grafana grafana Monitoring
Summary	AI-powered calorie tracking with photo recognition, barcode scanning, and voice logging	Search dashboards, investigate incidents and query datasources in your Grafana instance
Category & Scope	Monitoring	Monitoring

Tools & Capabilities Breakdown

Calories Club: AI Food Tracker Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Mcp Grafana Tools (65)

add_activity_to_incident

Add a note (userNote activity) to an existing incident's timeline using its ID. The note body can include URLs which will be attached as context. Use this to add context to an incident.

alerting_manage_routing

Manage Grafana alerting routing configuration, including notification policies, contact points and time intervals. Notification policies define how alerts are grouped, routed, and which contact points receive them. Time intervals define active/mute periods for alert notifications. When to use: - Understanding how alerts are routed to contact points/receivers - Debugging why an alert went to a specific receiver - Checking grouping, timing, or mute interval settings When NOT to use: - Checking alert rule configuration or state (use alerting_manage_rules)

alerting_manage_rules

Manage Grafana alert rules with full CRUD capabilities and filtering. When to use: - Understanding why an alert is or isn't firing - Auditing alert rule configuration (queries, conditions, labels, notification settings) - Finding alert rules by state, folder, group, or name - Creating, updating, or deleting alert rules - Comparing rule versions to see what changed When NOT to use: - Checking how alerts are routed to receivers (use alerting_manage_routing)

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Calories Club: AI Food Tracker Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "calories-club-ai-food-tracker-2": {
      "url": "https://recordo.app"
    }
  }
}

Mcp Grafana Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "grafana-mcp-grafana": {
      "command": "uvx",
      "args": [
        "mcp-grafana"
      ],
      "env": {
        "GRAFANA_URL": "YOUR_GRAFANA_URL_HERE",
        "GRAFANA_SERVICE_ACCOUNT_TOKEN": "YOUR_GRAFANA_SERVICE_ACCOUNT_TOKEN_HERE"
      }
    }
  }
}

Frequently Asked Questions

Calories Club: AI Food Tracker is categorized under Monitoring and uses a remote streaming HTTP/SSE transport. In contrast, Mcp Grafana belongs to Monitoring using local stdio subprocess. Select Calories Club: AI Food Tracker when you need capabilities focused on monitoring and Mcp Grafana when you require tools for monitoring.

More alternatives to Calories Club: AI Food Tracker More alternatives to Mcp Grafana Monitoring category hub