todo-assistant

todo-assistant

Manages TODO tasks with operations like add, list, complete, update, and delete, stored in a JSON file.

Category
Visit Server

README

TODO Assistant MCP Server

A simple MCP server for managing TODO tasks. Works with any MCP-compatible client.

Setup

  1. Install Python 3.10+
  2. Install dependencies:
pip install -r requirements.txt

Connect to your MCP client

This server uses stdio transport — your MCP client starts and manages the server process automatically.

Add something like this to your client's MCP config (exact location depends on the client):

{
  "mcpServers": {
    "todo-assistant": {
      "command": "python3",
      "args": ["/full/path/to/server.py"]
    }
  }
}

Replace /full/path/to/server.py with the actual absolute path.

Where to put this config:

Client Config location
Claude Desktop ~/.config/Claude/claude_desktop_config.json (Linux) / ~/Library/Application Support/Claude/claude_desktop_config.json (Mac)
Cline (VS Code) MCP Servers section in Cline settings, or ~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
Other clients Check your client's docs for MCP server configuration

After adding the config, restart your client so it picks up the new server.

Tools

Once connected, your AI assistant can use these tools:

Tool What it does
add_task Create a task (title, description, priority)
list_tasks List all/pending/completed tasks
complete_task Mark a task as done
uncomplete_task Mark a task as pending
update_task Edit a task's title, description, or priority
delete_task Remove a task

Just ask your assistant in natural language, e.g. "add a task to buy groceries with high priority" or "show my pending tasks".

Storage

Tasks are saved to tasks.json in the server directory.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured