Task and Project Management MCP Repositories

Connects Claude AI to QGIS for project management and layer manipulation, enabling the creation, loading, and saving of projects as well as executing processing algorithms and running Python code directly from Claude.

Integrates command-line tools with a user-friendly interface to enhance development workflows while providing real-time insights within the editor for improved project management and AI interactions.

A template for developing applications using Tauri, Next.js, and TypeScript, facilitating the creation of desktop applications with web technologies.

Integrate with Notion's API to manage databases, track tasks, and organize content. Enable advanced todo list management with support for rich text, nested subtasks, and real-time data interaction.

Integrate real-time spell checking and correction capabilities into applications to enhance text accuracy and clarity. Offers seamless integration with existing workflows for instant feedback on spelling errors.

Provides intelligent task analysis and recommends suitable MCP tools based on task characteristics. Integrates large language models for advanced analysis and maintains context throughout task execution.

Provides current time information and performs timezone conversions using IANA timezone names. Supports querying system or specified timezones for accurate time-related calculations.

Runbook MCP Server facilitates the execution of operational runbooks and manual test plans through integration with Claude Desktop. It enables automation of tasks such as deploying services and running integration tests seamlessly.

Provides random generation utilities including UUIDs, numbers, strings, passwords, Gaussian distribution, dice rolling, and card drawing.

Dynamically creates and manages MCP servers, enabling efficient execution of server code and lifecycle management within a flexible MCP ecosystem. It currently supports TypeScript for tool execution and server management tasks.

Integrates with the Dooray API for efficient schedule management, enabling the addition of events with automatic start and end times, as well as support for location and description details.

A simple server implementing the Model Context Protocol (MCP) to provide an easier API for interaction with MCP agents. It enables developers to create MCP servers by simplifying the registration and management of tools with custom logic.

Connects AI agents to Currents for detailed test results context, enabling analysis and optimization of failing tests in continuous integration workflows. Integrates with development tools to enhance test reliability and debugging efficiency.

Manage tasks, projects, and tags in TickTick with advanced filtering and manipulation capabilities. Integrate task management into AI workflows for creating, updating, deleting, and organizing tasks and subtasks.

Connects and manages multiple MCP servers, allowing for seamless access to tools while bypassing tool limits. Facilitates the execution of tools from connected servers and provides a consolidated view of available resources.

The MCP-Time server is a Node.js application that provides accurate time and date information, allowing users to query the current time in various time zones, calculate date differences, and format time displays.

Organize and manage your development projects with an AI-powered task management system that integrates directly into your coding environment. Break down complex projects into epics, tasks, and subtasks, and receive AI-assisted planning, implementation suggestions, and progress tracking. Stay focused and efficient by managing your workflow without leaving your editor.

Host a secure MCP server on Google Cloud Run for real-time access to data and tools using Google Cloud's IAM for secure access. Enables quick integration with minimal configuration while awaiting full authentication features.

Interact with datasets, ontology objects, and functions within a Foundry instance, enabling AI assistants to perform dynamic data interactions and intelligent processing.

Interact with Atlassian products such as Confluence and Jira through a standardized interface for searching content, retrieving details, and managing projects and issues.

Run AI workflows and manage user profiles with ease while accessing detailed glif information and metadata through the Model Context Protocol. Customize tools for AI-driven tasks by adding or removing them as needed.

Access and manipulate data related to Loomers, forms, form responses, and projects with advanced pagination, filtering, and sorting capabilities.

Interact with Confluence Cloud to manage spaces, pages, and content, including page creation, updates, and search functionalities.

Interact with the Tenable Nessus vulnerability scanner to perform vulnerability scanning and analysis. Start and monitor scans, retrieve results, and search for vulnerabilities using a standardized protocol.

Manipulates Excel files without requiring Microsoft Excel. Supports creating, reading, and modifying workbooks, along with advanced features like formatting, charting, and generating pivot tables.

Access the LumbreTravel API to manage travel programs and activities effectively. It offers functionalities to create, update, delete, and reactivate travel programs.

Provides a natural language interface to query and manage MLflow tracking servers, enabling users to explore machine learning experiments and registered models using plain English. Facilitates interactions with system status and experiment data through a conversational AI interface.

Langflow provides a low-code interface for building and managing AI applications. It facilitates the creation, testing, and deployment of workflows using various models and APIs without requiring extensive coding knowledge.

Connects AI assistants to Portkey's API for managing AI configurations, workspaces, analytics, and user access.

Manage local MCP Servers and authorize specific tools across MCP clients. Provides a lightweight service for configuring and maintaining MCP server settings.