# Steep

> Use this tool when you need to query and analyze data in your Steep workspace, solving problems related to metrics, targets, and team performance tracking. It provides an interface to input queries and retrieve relevant data, including metrics, targets, entities, and team information. Ideal for use cases requiring data insights and reporting within the Steep workspace via MCP.

Canonical page: https://skillsregistry.net/skills/app-steep-mcp  
JSON: https://api.skillsregistry.net/v1/skills/app-steep-mcp

## Description

Query metrics, targets, entities, and team data in your Steep workspace via MCP.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.steep%2Fmcp)
- **Repository:** <https://github.com/SteepHq/steep-mcp>

## Use it

MCP endpoint published by the skill: `https://mcp.steep.app/mcp`

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": "app-steep-mcp"
    }
  }
}
```

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