# firelever-mcp

> firelever-mcp — firelever-firelever. Use this tool when you need to query lead databases and pipeline statistics in a read-only manner. It solves problems related to data analysis and reporting by providing access to key performance indicators and metrics. The firelever-mcp tool accepts query inputs and returns relevant statistical data as output, ideal for use cases requiring data-driven insights and decision-making.

Canonical page: https://skillsregistry.net/skills/firelever-firelever  
JSON: https://api.skillsregistry.net/v1/skills/firelever-firelever

## Description

Read-only MCP server for querying the lead database and pipeline statistics.

## Trust

- **Trust score (0–1):** 0.20
- **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/o6djdsxlpl)
- **Repository:** <https://github.com/firelever/firelever>

## 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": "firelever-firelever"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/firelever-firelever` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/firelever-firelever/pull`

---
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