# glama-status-mcp

> Use this tool when you need to track and analyze the daily performance of MCP fleets using Glama TDQS scores. It solves problems related to fleet monitoring and optimization by providing a comprehensive view of scores, history, and deltas through various interfaces, including web dashboards and chat interfaces. The tool accepts MCP fleet data as input and outputs detailed score tracking and analysis, making it ideal for use cases requiring regular performance assessments and data-driven decision-making.

Canonical page: https://skillsregistry.net/skills/sandraschi-glama-status-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sandraschi-glama-status-mcp

## Description

Daily-refreshed Glama TDQS score tracker for any MCP fleet. Scrapes per-tool grades from glama.ai, stores in SQLite with snapshot history and delta tracking, surfaces via MCP tools, Prefab cards, a 6-page web dashboard, and an LLM-powered chat interface.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zvuf4zr7dg)
- **Repository:** <https://github.com/sandraschi/glama-status-mcp>

## 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": "sandraschi-glama-status-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sandraschi-glama-status-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sandraschi-glama-status-mcp/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