Task and Project Management MCP Repositories

Manage tasks through a standardized API interface with support for creating, updating, and deleting tasks. The server operates in both STDIO mode for CLI applications and HTTP+SSE mode for web-based clients.

Standalone MCP server facilitating API testing and management, enabling AI assistants to communicate with RESTful APIs using natural language. Supports making HTTP requests, organizing requests in collections, and managing authentication methods.

Interact with Docker containers and images through a set of RESTful API endpoints using the Model Context Protocol. Capabilities include managing container lifecycle, accessing logs, and pulling images.

Manage and interact with multiple conversations using OpenRouter's language models through a standardized interface, facilitating message creation, real-time streaming, and persistent conversation states. Features include error handling and recovery, along with automatic token counting and model context management.

Integrates with Apple applications to manage messages, notes, and emails. Enables automation of tasks across the Apple ecosystem using simple commands for improved productivity.

Manage interactive journaling sessions with features for emotional analysis and automatic saving. It supports reading recent entries and organizes journal content chronologically in Markdown format.

Create dynamic PowerPoint presentations by generating slides with titles, content, images, tables, and charts through a simple API. Enhance presentations with images created from text prompts using Stable Diffusion.

Integrate with Logseq's knowledge base to create and manage pages, blocks, and organize information programmatically. Enhance productivity by automating workflows and interacting directly with data within Logseq.

Streamlines software project setup using standardized templates and best practices, automatically generating comprehensive documentation and visual diagrams to enhance project architecture and implementation strategy.

Interact with dbt to execute CLI commands, query metrics from the semantic layer, and explore project models efficiently, streamlining data workflows.

Lightweight Python-based server for managing and creating CrewAI workflows utilizing the Model Context Protocol (MCP) to communicate with Large Language Models and various tools. Supports automatic configuration of agents and tasks through YAML files and provides command line options for customization.

Integrate ClickUp tasks with AI applications for efficient project management, facilitating interaction with tasks, lists, and folders using natural language. Automate workflows and manage tasks seamlessly within the ClickUp workspace.

Provides access to location-based services and geospatial data from OpenStreetMap, enabling geocoding of addresses, search for points of interest, and neighborhood analysis for real estate insights.

Manage conversation context and a personal knowledge base for AI applications with efficient APIs. Create, update, and query user data while handling dialogue and knowledge management seamlessly.

Integrates with the Model Context Protocol to send notifications via ntfy about task completions performed by an AI assistant, helping users stay informed while they multitask. Maintains an efficient workflow by allowing users to receive updates without interruptions.

Provides a structured thinking environment for AI assistants to reason through complex problems step-by-step, utilizing built-in templates for various thinking frameworks and ensuring compliance with policies.

Triggers native macOS notifications, plays system sounds, and converts text to speech. Supports customizable visual notifications and voice management features for AI assistants.

Fetches up-to-date, version-specific code documentation and examples from source libraries to enhance prompts, reducing reliance on outdated code and inaccurate APIs. Integrates real-time library documentation into LLM context to improve coding accuracy and productivity.

Retrieve and load notes efficiently from Obsidian vaults, enabling enhanced interactions with language models by cleaning link queries and displaying backlinks to opened files. Streamlined for local GPU setups to improve note retrieval speed and efficiency.

Enable interaction with Zulip workspaces by managing channels, posting messages, sending direct messages, adding reactions, and retrieving conversation history for effective communication and automation.

Create and manage notes with a simple interface while utilizing LLM capabilities for summarization. Supports creating new notes and accessing existing notes through URIs with associated metadata.

A personal knowledge management system that captures and organizes daily notes into a searchable format using AI-assisted categorization and summarization. It integrates with MCP-compatible clients to enhance productivity and manage fragmented knowledge effectively.

Securely interact with Google Sheets to create, read, update, and manage spreadsheets through a standardized protocol. Supports operations like listing sheets, updating cells, and sharing spreadsheets using OAuth2 or Service Account authentication methods.

Access and interact with a Readwise library, enabling retrieval of articles, books, highlights, and documents. Allows for natural language queries to search highlights and facilitates integration with MCP-compatible AI assistants.

Integrate directly with JIRA to view assigned issues, obtain detailed information, and convert JIRA issues into local tasks without switching contexts. This server enhances productivity by facilitating seamless access to JIRA functionalities within the development environment.

Connects AEC tools with Speckle's collaborative data hub, enabling users to list and search projects, retrieve detailed project information, access model versions, and query object properties efficiently.

Interact with Anki flashcard software through AnkiConnect to create, manage, and search flashcards efficiently. Automate various operations on flashcards and decks with a simple API interface.

Execute terminal commands, manage processes, and perform advanced file editing tasks, including text replacements and file rewrites. Enhance development workflows by automating repetitive tasks and running processes efficiently.

Integrates with Jira to enable AI models to perform operations like searching for issues using JQL queries and retrieving detailed information about specific Jira issues.

Manage Docker containers using natural language commands, facilitating the composition of containers, introspection and debugging of running instances, and management of persistent data through Docker volumes.