rework-mcp-server
@caobo171
About rework-mcp-server
No overview available yet
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"ClickUp": {
"command": "npx",
"args": [
"-y",
"@taazkareem/clickup-mcp-server@latest"
],
"env": {
"CLICKUP_API_KEY": "your-api-key",
"CLICKUP_TEAM_ID": "your-team-id",
"DOCUMENT_SUPPORT": "true"
}
}
}
}Tools
10Create a task in a project
Get tasks from a board
Get detailed information about a task
Get all projects and boards
Create a job in a workflow
Get jobs from a workflow
Get detailed information about a job
Get all available workflows
Find users by name or email
Get all workspace members
Overview
What is rework-mcp-server?
A Model Context Protocol (MCP) server that integrates the Rework platform with AI applications, enabling AI agents to interact with Rework projects, tasks, workflows, and jobs via a standardized protocol.
How to use rework-mcp-server?
Obtain your Rework API key and workspace ID, then configure the MCP server in your client’s settings JSON or run it directly with Node. Optionally enable SSE mode, set a custom port, or disable specific tools using environment variables. Docker deployment is also supported.
Key features of rework-mcp-server
- Create, view, and manage tasks and projects
- Create and track jobs and workflows
- Find users and assign them to tasks
- Support for custom fields on tasks and jobs
- ID and name‑based lookups with markdown content
- Built‑in error handling and API rate limiting
Use cases of rework-mcp-server
- AI assistant managing project tasks and boards
- Automated workflow job creation and status tracking
- User assignment and lookup within Rework workspaces
- Natural language project and workflow management via AI
FAQ from rework-mcp-server
What credentials are required?
You need a Rework API key and workspace ID, configured via REWORK_API_KEY and REWORK_WORKSPACE_ID environment variables.
How do I disable specific tools?
Set the DISABLED_TOOLS environment variable to a comma‑separated list of tool names (e.g., create_task,get_tasks).
How do I run the server with SSE support?
Set ENABLE_SSE=true and optionally PORT (default 3000) in the environment, then start the server. See the Docker Compose example for a full setup.
Can I customize log verbosity?
Yes, set LOG_LEVEL to trace, debug, info, warn, or error (default: info).
What error messages does the server provide?
Clear messages for missing parameters, invalid IDs, not‑found resources, authentication failures, permission issues, API errors, and rate limiting.
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