Tapd MCP Server Ydt
T

Tapd MCP Server Ydt

A TAPD server developed based on the MCP Python SDK, which integrates the requirement management function and supports multi - condition query and pagination display.
2 points
6.3K

What is TAPD MCP Server?

TAPD MCP Server is a middleware service built on FastAPI. By integrating the TAPD platform's API and the MCP Python SDK, it provides enterprises with a convenient solution for integrating requirement management systems. It simplifies the interaction process with the TAPD platform, enabling non - technical personnel to easily manage project requirements.

How to use TAPD MCP Server?

You can access the requirement data on the TAPD platform through simple API calls, supporting operations such as querying, filtering, and obtaining detailed requirement information. The system provides clear API documentation and an interactive interface.

Applicable scenarios

It is suitable for enterprises that need to integrate the TAPD requirement management system with other business systems, especially project teams and product managers who need to automate the processing of requirement data.

Main features

Requirement query and management
Supports querying requirement information through multiple conditions (ID, title, status, etc.) and provides a pagination display function.
Obtain detailed requirement information
You can obtain the complete detailed information of requirements, including key fields such as description, priority, and responsible person.
Advantages
Simplify the complex calling process of the TAPD API
Provide a standardized data return format
Built - in authentication and security mechanisms
Good scalability and maintainability
Limitations
Currently only supports the requirement management function
Depends on the API stability of the TAPD platform
Requires a Python runtime environment

How to use

Environment preparation
Ensure that Python 3.8 or a higher version is installed.
Install dependencies
Install all necessary dependency packages through pip.
Configure environment variables
Create a.env file and set the TAPD API authentication information.
Start the service
Run the FastAPI application using uvicorn.

Usage examples

Query requirements in development
The product manager needs to view all requirements with the status of 'In development'.
Get detailed requirement information
Developers need to view the detailed requirements of a specific requirement.

Frequently Asked Questions

How to obtain API access permissions?
How to access the API documentation after starting the service?
Which TAPD requirement statuses are supported?

Related resources

TAPD official API documentation
Official API interface documentation of the TAPD platform
FastAPI documentation
Official documentation of the FastAPI framework
GitHub repository
Project source code repository

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

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
5.9K
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
7.0K
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
9.6K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.8K
4 points
P
Paperbanana
Python
7.2K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
8.5K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.9K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
8.1K
5 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
22.4K
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
25.6K
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
75.7K
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
65.8K
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#
33.0K
5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
99.5K
4.7 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
21.8K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase