Streamline MCP

Streamline MCP

Enables AI assistants to access and manage Streamline tasks, notes, tags, and workspaces via a Supabase-powered backend. It supports full CRUD operations, allowing users to search, create, update, and organize their productivity data through natural language.

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README

Streamline MCP

MCP server that gives AI assistants access to your Streamline tasks, notes, tags, and workspaces.

Setup

1. Configure credentials

Create ~/.config/streamline-mcp/config.json:

{
  "projectURL": "https://YOUR_PROJECT_ID.supabase.co",
  "apiKey": "YOUR_SERVICE_ROLE_KEY",
  "userID": "YOUR_USER_UUID"
}

Where to get these:

  • apiKey: Supabase Dashboard → Settings → API → service_role key
  • userID: Supabase Dashboard → Authentication → Users → Your user ID

2. Add to Claude Code

Edit ~/.claude.json:

{
  "mcpServers": {
    "streamline": {
      "command": "npx",
      "args": ["github:YOUR_USERNAME/streamline-mcp"]
    }
  }
}

Or run locally:

{
  "mcpServers": {
    "streamline": {
      "command": "node",
      "args": ["/path/to/streamline-mcp/dist/index.js"]
    }
  }
}

3. Restart Claude Code

The tools will now be available.


Tools

Tasks

Tool Description
search_tasks Search by name, tags, due date, status, or workspace
read_task Get full details by UUID
create_task Create a new task
update_task Update name, notes, due date, urgency
complete_task Mark completed or uncompleted
delete_task Move to trash or delete permanently

Notes

Tool Description
search_notes Search by title, content, tags, or workspace
read_note Get full content by UUID
create_note Create with markdown content
update_note Replace content or append
delete_note Move to trash or delete permanently

Tags

Tool Description
list_tags List all tags
create_tag Create a new tag
tag_item Add tag to a task or note
untag_item Remove tag from a task or note

Workspaces

Tool Description
list_workspaces List all workspaces with filtering rules
read_workspace Get workspace details (by UUID or name)

Examples

# Create a task with tags and due date
create_task(name: "Review PR", due_date: "tomorrow", tags: ["work"], is_urgent: true)

# Search tasks due today
search_tasks(due_before: "today", include_completed: false)

# Search tasks in a specific workspace
search_tasks(workspace: "Work", due_before: "today")

# Search notes in a workspace
search_notes(workspace: "Projects", query: "meeting notes", limit: 10)

# List workspaces with their filtering rules
list_workspaces(include_rules: true)

# Get workspace details by name
read_workspace(name: "Work")

# Complete a task
complete_task(uuid: "550e8400-e29b-41d4-a716-446655440000")

# Append to a note
update_note(uuid: "...", append: "\n\n## Follow-up\nNew content here")

Workspace Filtering

Workspaces in Streamline are defined by tag-based filtering rules. When you filter by workspace, the MCP applies those rules to return only matching items.

Example workspace rules:

  • "Work": Show items with "Work" or "Project" tags, exclude "Personal"
  • "Trove": Show items with all of "Trove" AND "Active" tags

The list_workspaces tool shows a summary of each workspace's rules, and read_workspace provides the full rule structure.


Environment Variables

You can use environment variables instead of a config file:

SUPABASE_URL=https://YOUR_PROJECT_ID.supabase.co
SUPABASE_API_KEY=your_service_role_key
SUPABASE_USER_ID=your_user_uuid

Or in Claude Code config:

{
  "mcpServers": {
    "streamline": {
      "command": "npx",
      "args": ["github:YOUR_USERNAME/streamline-mcp"],
      "env": {
        "SUPABASE_API_KEY": "...",
        "SUPABASE_USER_ID": "..."
      }
    }
  }
}

Development

npm install
npm run build
npm start

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