# Rize MCP

> Rize MCP — rize-io-mcp. Use this tool when you need to interact with workspace data using natural language, manage time entries, or generate AI-driven insights for team administration and profitability reporting. It solves problems related to data analysis, time tracking, and team management by providing an intuitive interface for users to input queries and receive relevant outputs. Ideal for streamlining workflows and gaining data-driven insights in a workspace setting.

Canonical page: https://skillsregistry.net/skills/rize-io-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rize-io-mcp

## Description

Enables natural language interaction with Rize workspace data, including time entry management, AI suggestions, time analysis, team administration, and profitability reporting.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e6sf90hnvp)
- **Repository:** <https://github.com/rize-io/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": "rize-io-mcp"
    }
  }
}
```

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