# app.steep/mcp

> app.steep/mcp — steephq-steep-mcp. Use this tool when you need to query metrics, targets, entities, and team data from Steep workspace using natural language. It connects AI agents to a remote Steep server, providing read-only access to relevant data. Ideal for use cases requiring data retrieval and analysis, this tool enables seamless interaction with Steep workspace via natural language inputs and receives corresponding data outputs.

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

## Description

Connects AI agents to Steep workspace for querying metrics, targets, entities, and team data via natural language. All tools are read-only and the server is remote.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f15pi9chwn)
- **Repository:** <https://github.com/SteepHq/steep-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": "steephq-steep-mcp"
    }
  }
}
```

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