What is the key difference between Spanlens and Llm Usage Mcp?

Spanlens belongs to the Monitoring category with local stdio execution, while Llm Usage Mcp belongs to the Monitoring category with local stdio execution.

How do I install Spanlens or Llm Usage Mcp 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 Spanlens and Llm Usage Mcp free or paid?

Spanlens operates under a Freemium model (API Key required). Llm Usage Mcp operates under a Free / Open Source model (API Key required).

Which MCP server has more tools and community activity?

Spanlens lists 6 tools with 2 views and 11 GitHub stars. Llm Usage Mcp lists 6 tools with 2 views and 3 GitHub stars.

Can I use both Spanlens and Llm Usage Mcp 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 Spanlens or Llm Usage Mcp 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 Spanlens and Llm Usage Mcp free to use, or do they require API keys?

Spanlens is listed under a Freemium model with API Key required . Llm Usage Mcp operates under a Free / Open Source 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 Spanlens and Llm Usage Mcp at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both spanlens-spanlens-2 and zhaoyue722-llm-usage-mcp 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, Spanlens has a Quality Score of 55 /100 ( Good ) with 2 views, 0 installs, and 11 GitHub stars. Llm Usage Mcp holds a Quality Score of 48 /100 ( Fair ) with 2 views, 0 installs, and 3 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Spanlens vs Llm Usage Mcp

In-depth architectural comparison of the Spanlens and Llm Usage Mcp 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

Spanlens

Monitoring · Local stdio

Quality: 55/100 (Good) | Auth: API Key required

Llm Usage Mcp

Monitoring · Local stdio

Quality: 48/100 (Fair) | Auth: API Key required

Verdict Summary: Choose Spanlens if you need specialized Monitoring tools running via a local process. Choose Llm Usage Mcp 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 Spanlens when:

You need dedicated capabilities in the Monitoring domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Freemium).
You have access to required keys: SPANLENS_API_KEY.
Primary tools included: Request logging with full prompt, response, and cost details, Agent tracing for multi-step workflows, Anomaly detection and alerts.

Explore Spanlens Details

Choose Llm Usage Mcp when:

You need dedicated capabilities in the Monitoring domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Free / Open Source).
You have access to required keys: ANTHROPIC_API_KEY, OPENAI_API_KEY, DEEPSEEK_API_KEY, DASHSCOPE_API_KEY, ANTHROPIC_BASE_URL, OPENAI_BASE_URL, DEEPSEEK_BASE_URL.
Primary tools included: .

Feature & Specification Comparison

Specification	Spanlens spanlens Monitoring	Llm Usage Mcp zhaoyue722 Monitoring
Summary	Query your Spanlens LLM observability from any MCP client. 7 read tools for request logs, agent traces, cost stats, anomalies, model-savings, and per-user analytics across OpenAI, Anthropic, and Gemini. Open source, self-hostable. npx -y @spanlens/mcp-server	Local-first LLM API cost tracker. Captures usage across Anthropic, OpenAI, Qwen, and DeepSeek into a local SQLite ledger and exposes spend queries, provider comparison, and recommendations as MCP tools — with first-class Chinese-provider support (CNY→USD). Install: uvx llm-usage-mcp.
Category & Scope

Tools & Capabilities Breakdown

Spanlens Tools (6)

Request logging with full prompt, response, and cost details

Agent tracing for multi-step workflows

Anomaly detection and alerts

PII and injection scanning

Model recommendations and prompt A/B testing

Supports 11 LLM providers plus Vercel AI SDK, LangChain, LlamaIndex

Llm Usage Mcp Tools (6)

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).

Spanlens Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "spanlens-spanlens-2": {
      "command": "npx",
      "args": [
        "-y",
        "@spanlens/cli"
      ],
      "env": {
        "SPANLENS_API_KEY": "YOUR_SPANLENS_API_KEY_HERE"
      }
    }
  }
}

Llm Usage Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "zhaoyue722-llm-usage-mcp": {
      "command": "uvx",
      "args": [
        "llm-usage-mcp"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE",
        "DEEPSEEK_API_KEY": "YOUR_DEEPSEEK_API_KEY_HERE",
        "DASHSCOPE_API_KEY": "YOUR_DASHSCOPE_API_KEY_HERE",
        "ANTHROPIC_BASE_URL": "YOUR_ANTHROPIC_BASE_URL_HERE",
        "OPENAI_BASE_URL": "YOUR_OPENAI_BASE_URL_HERE",
        "DEEPSEEK_BASE_URL": "YOUR_DEEPSEEK_BASE_URL_HERE"
      }
    }
  }
}

Frequently Asked Questions

Spanlens is categorized under Monitoring and uses a local stdio subprocess. In contrast, Llm Usage Mcp belongs to Monitoring using local stdio subprocess. Select Spanlens when you need capabilities focused on monitoring and Llm Usage Mcp when you require tools for monitoring.

More alternatives to Spanlens More alternatives to Llm Usage Mcp Monitoring category hub