# analytics.usa.gov MCP Server

> Use this tool when you need to analyze government website analytics, as it enables querying and analysis of data from analytics.usa.gov, supporting various report types and aggregation tools. It solves problems related to accessing and understanding government website usage patterns, providing valuable insights for informed decision-making. The tool accepts queries and parameters as inputs and returns analyzed data and reports as outputs, making it ideal for use cases requiring data-driven analysis of government website performance.

Canonical page: https://skillsregistry.net/skills/gsa-tts-usdc-arc-mcp-demo  
JSON: https://api.skillsregistry.net/v1/skills/gsa-tts-usdc-arc-mcp-demo

## Description

Enables LLMs to query and analyze government website analytics from analytics.usa.gov via the Model Context Protocol, supporting single report, multiple reports, and aggregation tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nnk0wm402n)
- **Repository:** <https://github.com/GSA-TTS/usdc-arc-mcp-demo>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gsa-tts-usdc-arc-mcp-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gsa-tts-usdc-arc-mcp-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gsa-tts-usdc-arc-mcp-demo/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt