# Rework MCP Server

> Use this tool when you need to streamline project management and workflow automation for Rework projects. It solves problems related to task organization, job tracking, and user management by providing a standardized protocol for AI agents to interact with Rework projects. The tool accepts natural language inputs and outputs customized project configurations and task assignments.

Canonical page: https://skillsregistry.net/skills/rework-com-rework-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/rework-com-rework-mcp-server

## Description

Enables AI agents to manage Rework projects, tasks, and workflows through a standardized protocol. It supports task creation, job tracking, user management, and custom field configuration using natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rfigeah3jj)
- **Repository:** <https://github.com/rework-com/rework-mcp-server>

## 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": "rework-com-rework-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rework-com-rework-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rework-com-rework-mcp-server/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