Task and Project Management MCP Repositories

Manage and create Model Context Protocol (MCP) servers for custom tools and real-time data integration. Leverage a standardized interface to enhance capabilities of language models.

Built using TypeScript, this server facilitates client session management for MCP by defining tools, resources, and prompts, while supporting authentication, logging, and real-time updates through SSE. It provides features like error handling, CORS, and CLI tools for testing and debugging.

Combines multiple MCP servers into a single interface, facilitating streamlined tool usage and compatibility management. It serves as a bridge between MCP clients and various backend MCP servers, offering a unified stdio interface and automatic tool name sanitization.

Enables high-performance text searches across files using ripgrep for efficient pattern finding and file management. This MCP server connects AI applications to powerful search capabilities, streamlining data retrieval processes.

Dynamically load tools, resources, and prompts from specified directories to enhance application capabilities. Offers automatic module discovery and logging features for efficient server management.

Manage Kanka worldbuilding projects by listing, retrieving, creating, updating, and deleting campaigns, characters, locations, posts, notes, and journals. Handle HTML content and privacy settings for various entities seamlessly.

Connects to a locally running Anki to facilitate card review and creation. Provides access to current decks, unseen cards, and cards due for review.

A Python-based MCP server designed for software development tasks that integrates with multiple LLM providers, offering real-time visualization and cost management. It supports multi-agent synchronization for intricate problem-solving scenarios.

Facilitates the development and deployment of smart contracts using Hardhat. It includes built-in testing and deployment tools, along with sample contracts to enhance the development process.

Extracts and displays errors and warnings from Xcode build logs, enabling AI assistants to quickly identify issues in Swift projects. Provides detailed diagnostics including error messages, warnings, notes, and fix-it suggestions from build logs.

Interact with Linear's API to manage issues, projects, and teams, enabling programmatic control over workflows and task assignments.

Integrates Tauri, React, and TypeScript to facilitate the development and previewing of applications using Vite. Offers a comprehensive template that supports modern web development workflows.

Connects AI assistants to Telegram, providing tools to access and manage chats and messages. Enables functionalities like summarizing unread messages and automating interactions.

Interacts with external data sources and tools using the Model Context Protocol, enabling AI agents to manage user information and perform real-time data manipulation.

Access the esa.io API through the Model Context Protocol (MCP), enabling search, creation, updating, and deletion of articles on esa.io.

Integrate applications with real-world data and tools for enhanced workflows through a structured and dynamic problem-solving process. Break down complex problems and adjust thought processes with the help of a sequential thinking tool.

This unified interface centralizes access to all capabilities within the QuickBooks Time system. It consolidates functions for managing operational job classifications, generating performance metrics, handling time records, and administering user settings. Project management principles emphasize breaking down large goals into manageable tasks, which this tool facilitates by accessing granular time and resource data.

Manage time entries in Clockify through AI prompts. Perform tasks such as adding, viewing, and controlling time tracking directly via AI interactions.

Seamlessly interact with the ChatGPT desktop app on macOS, allowing users to ask questions, view conversation history, and continue discussions. This integration facilitates enhanced productivity by bridging Claude and ChatGPT.

Connects AI models to Atlassian Jira for performing operations such as managing issues, retrieving comments, and interacting with sprints in a seamless manner.

Integrate with the Taiga project management platform to manage projects, tasks, and sprints programmatically, enhancing AI-driven project management workflows.

Connects to MCP clients to display desktop notifications on Windows 10 and macOS using customizable parameters such as title, message content, and display time. Utilizes win10toast for Windows notifications and osascript for macOS notifications, supporting both synchronous and asynchronous requests.

Efficiently caches data between language model interactions to reduce token consumption, enhancing performance and speeding up responses. Integrates seamlessly with any MCP client and language model that uses tokens.

Manage n8n workflows with natural language commands, enabling listing, creating, updating, deleting, and executing workflows while monitoring their statuses and accessing detailed execution statistics.

Connects securely to a Memos instance, enabling interaction through an AI assistant for searching, creating, updating, and managing notes. Supports advanced search capabilities, structured access to notes, and efficient tag management.

Execute shell commands securely with controlled access and resource limits, providing robust error handling and output capture. Features include command timeouts and maximum output size limits to ensure command safety and compliance.

Semantic analysis of chat conversations using vector embeddings and knowledge graphs, enabling the extraction of concepts and analysis of conversation patterns.

Manage Jenkins jobs through a unified API interface, facilitating job creation, triggering builds, retrieving job information, and updating configurations.

Connects AI applications like Claude Desktop to an Obsidian vault, enabling access to notes, execution of templates, and semantic searches while maintaining data security and privacy.

Facilitates interaction with ServiceNow data through natural language queries and a secure API, enabling users to search, update, and manage records efficiently.