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.
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_rolekeyuserID: 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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