Deltatask MCP Server
D

Deltatask MCP Server

DeltaTask is a localized advanced task management system with intelligent priority sorting, task decomposition, and Obsidian integration features.
2.5 points
8.6K

What is the DeltaTask MCP Server?

The DeltaTask MCP Server is a powerful tool for managing and optimizing your task list. It automatically sorts tasks through intelligent algorithms and supports various advanced features, such as task decomposition, a tagging system, and two-way synchronization to Obsidian notes.

How to use the DeltaTask MCP Server?

First, install DeltaTask and set up the environment. Then, start the MCP server. Finally, configure the connection in Claude for Desktop. You can directly access the server through the API to manage tasks.

Use Cases

Suitable for individuals or teams that need efficient task management, especially those who want to integrate tasks with Obsidian notes.

Main Features

Intelligent Priority Sorting
Automatically adjust the task order based on the importance and difficulty of tasks.
Task Decomposition
Split large tasks into multiple small tasks for easier step-by-step completion.
Two-way Obsidian Synchronization
Task data can be seamlessly synchronized between the SQLite database and Obsidian notes.
Statistical Analysis
Provide visual reports on task completion status and trends.
Advantages
Local storage ensures data security.
Supports complex task relationship graphs.
Integrating with Obsidian enhances collaboration efficiency.
Powerful API interfaces facilitate secondary development.
Limitations
Requires a certain technical foundation for configuration and use.
Relies on the Python environment to run, which may not be user-friendly for some users.
Only supports local deployment and does not provide cloud hosting options.

How to Use

Install DeltaTask
Clone the repository and set up a virtual environment.
Start the MCP Server
Run the server script in the terminal.
Configure Claude for Desktop
Edit the claude_desktop_config.json file to add server configuration.

Usage Examples

Create a New Task
Demonstrate how to use the API to create a new task.
Query All Tasks
Show how to list all existing tasks.

Frequently Asked Questions

Does DeltaTask support cross - platform use?
How to update an existing task?
Can DeltaTask be used offline?

Related Resources

Official Documentation
Comprehensive user guides and technical documentation.
GitHub Repository
Source code and contribution guidelines.
Video Tutorial
Quick start video.

Installation

Copy the following command to your Client for configuration
{
     "mcpServers": {
       "deltatask": {
         "command": "uv",
         "args": [
           "--directory",
           "/ABSOLUTE/PATH/TO/DeltaTask",
           "run",
           "server.py"
         ]
       }
     }
   }
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
7.7K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
6.0K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
4.3K
5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
9.4K
5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
13.6K
4.3 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
15.3K
4 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.6K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
26.0K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
73.5K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
35.8K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.4K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.7K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.2K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
49.8K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase