TaskMesh MCP Server

This package implements a production-grade Model Context Protocol (MCP) Server for the TaskMesh platform, allowing AI IDEs (such as Cursor, VS Code, and Claude Desktop) to securely interact with the TaskMesh task management and time tracking APIs.

Features

• Granular Scopes: Scoped access tokens (*, projects:read, issues:create, etc.) verified on every API request.

• Runaway Prevention: Native rate limiting (token bucket) preventing AI agents from causing runaway loops and high load.

• Audit Logging: Clean, structured JSON logs printed directly to stderr for visibility within your IDE debug panel.

• Zero DB Logic Duplication: Proxies requests through the NestJS REST API, inheriting existing validation, permissions, and soft-delete states.

Related MCP server: GitScrum MCP Server

Installation & Setup

1. Build the MCP Server

Inside the mcp/ directory:

pnpm install
pnpm run build

2. Generate a Personal Access Token (PAT)

Currently, PATs are created via the database or by making an authorized POST request to /auth/tokens with a JSON body:

{
  "name": "Cursor IDE",
  "scopes": ["*"]
}

This returns a token prefixed with tm_ (e.g. tm_1d2e3f...). Copy this token.

IDE Configurations

Add the configuration block below to your IDE's MCP settings, making sure to use the absolute path to your dist/index.js file.

Cursor Settings

Open Cursor and navigate to Settings -> Features -> MCP. Click + Add New MCP Server:

• Name: taskmesh

• Type: command

• Command:

node /absolute/path/to/task-mesh/mcp/dist/index.js

• Environment Variables:

  • TASKMESH_API_URL: http://localhost:3001

  • TASKMESH_API_TOKEN: tm_<your_generated_token_here>

Claude Desktop Configuration

Add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "taskmesh": {
      "command": "node",
      "args": ["/absolute/path/to/task-mesh/mcp/dist/index.js"],
      "env": {
        "TASKMESH_API_URL": "http://localhost:3001",
        "TASKMESH_API_TOKEN": "tm_<your_generated_token_here>"
      }
}
  }
}

Option B: Remote / NPM Setup (Using npx)

If you publish this package to NPM (e.g. @task-mesh/mcp-server), you can configure the IDE to pull it automatically without cloning:

{
  "mcpServers": {
    "taskmesh": {
      "command": "npx",
      "args": ["-y", "@task-mesh/mcp-server"],
      "env": {
        "TASKMESH_API_URL": "https://your-api.domain.com",
        "TASKMESH_API_TOKEN": "tm_<your_generated_token_here>"
      }
    }
  }
}

Available Tools

The server registers tools divided into four domains:

📁 Projects

• list_projects: Lists all organization projects.

• get_project: Gets a project by UUID.

• create_project: Creates a new project.

• update_project: Updates a project's status, metadata, or dates.

• delete_project: Deletes a project.

• add_workflow_status: Adds a new status column (e.g., "In Review") to a project board.

📝 Issues

• list_issues: Lists issues (filters by project, status, sprint, type, search term).

• get_issue: Retrieves detailed issue state.

• create_issue: Creates a new issue (type, description, estimate, priority).

• update_issue: Updates title, description, status, sprint, estimate, or assignees.

• delete_issue: Deletes an issue.

• add_comment: Adds discussion comments.

🏃 Sprints

• list_sprints: Lists all sprints for a project.

• get_sprint: Gets sprint details.

• create_sprint: Creates a planned sprint.

• update_sprint: Updates sprint dates, goal, or status.

• start_sprint: Moves a sprint from PLANNED to ACTIVE.

• complete_sprint: Completes an active sprint and handles issue rollover.

• delete_sprint: Deletes a sprint.

⏱️ Time Tracking

• log_time: Submits manual work hours.

• list_time_entries: Lists time logs with filter options.

• get_active_timer: Checks for currently running stopwatches.

• start_timer: Starts a timer on a specific issue.

• stop_timer: Stops the current timer and saves it as a time entry.

task-mesh-mcp