Task and Project Management MCP Repositories

Enables interaction with Meilisearch through a standardized interface for managing indexes, documents, search capabilities, and system operations.

Connect to Backlog's API to search for, retrieve, and update project issues, facilitating effective task management directly within applications.

Connect to AI models and external data sources using the Model Context Protocol, facilitating secure and scalable interactions with large language model (LLM) applications on Azure Kubernetes Service.

Facilitates a human-in-the-loop workflow for AI-assisted development by executing commands, displaying their output, and allowing users to provide feedback directly to AI models. Supports integration with tools like Cursor, Cline, and Windsurf to enhance resource efficiency and performance in development environments.

Manage tasks by viewing, adding, and completing them through applications, with the ability to filter by project and tags.

Enhance daily motivation and organization through voice and text inputs to plan tasks, create routines, and send reminders.

Facilitates software development planning through interactive sessions, enabling users to break down projects into manageable tasks and track implementation progress.

Build and deploy a Model Context Protocol server with support for generating San components and integrating Cosmic UI. It features quick setup and real-time data processing capabilities.

Manages project-specific contexts and maintains conversation continuity with hierarchical structures and metadata tagging. Facilitates quick retrieval for efficient workflows within specified project contexts.

Access and interact with the Cosense knowledge sharing platform by retrieving, listing, and searching for pages, as well as inserting text into existing pages.

Manage issues, projects, and teams within the Linear platform by creating, listing, updating, and retrieving detailed information with flexible filtering and customizable properties. Integrate directly with Linear's API to streamline project workflows.

Manage Foundry projects by creating, building, and testing Solidity contracts while retrieving metadata and executing scripts. Streamline Ethereum development workflows with a set of integrated tools.

Integrates with Apache Gravitino services to manage metadata including catalogs, schemas, tables, tags, and user roles through an intuitive interface. Facilitates optimized metadata retrieval and management, enhancing data governance workflows.

Utilizes a knowledge graph for dynamic information retrieval and storage, enhancing AI interactions by remembering user preferences and context. Integrates seamlessly with Neo4j for efficient data management.

Connects AI agents to multiple PostgreSQL databases for secure read and write operations, schema inspection, and transaction management with detailed logging and progress reporting.

Enables rapid integration of Anthropic's Model Context Protocol (MCP) into Claude Desktop and Cursor with easy setup and continuous updates to various tools, including document search and real-time web search.

Provides backup and restoration capabilities specifically designed for AI agents and code editing tools, simplifying the backup process and preserving the context of changes without the complexity of traditional version control systems.

Interact with dbt project metadata to explore and query node details, lineage, and compiled SQL code. Perform searches within node names and columns, and retrieve detailed attributes and upstream/downstream dependencies.

Analyze datasets, generate research papers, and automate email delivery using advanced AI capabilities. Provides detailed data analysis, insights, and reporting directly from data files.

Interact and automate tasks with Binary Ninja through Large Language Models, providing access to assembly code, decompiled code, and the ability to rename functions and add comments to binaries.

Fetches up-to-date, version-specific code documentation and examples to enhance LLM prompts, reducing outdated code and hallucinated APIs. Integrates real-time library documentation into coding workflows for improved accuracy and productivity.

Fetch and manipulate data from CucumberStudio, enabling the generation and modification of test scenarios and features using the CucumberStudio API. Provides rich context about projects, scenarios, and resources within CucumberStudio.

Integrate AI with terminal operations to execute commands and retrieve outputs directly from conversations. Supports various terminal controllers and multiple server modes for flexible interaction with the terminal across platforms.

Telegram mini application for mining activities, enabling users to manage and interact with mining operations directly within the Telegram platform. Provides an integrated interface to streamline mining management and enhance user engagement.

Manage tasks efficiently using the Godspeed Task Management API. Create, update, and organize tasks seamlessly within applications.

Integrates the DeepSeek R1 model to enhance reasoning capabilities by allowing advanced logical analysis and structured cognitive frameworks. Evaluates confidence and uncertainty while monitoring reasoning quality and detecting biases in user interactions.

Execute macOS terminal commands securely through the MCP with features like command whitelisting and an approval workflow for potentially dangerous commands. Supports safe execution of commands managed by predefined security levels.

Integrates Claude conversations with Anki to facilitate spaced repetition learning by reviewing and creating flashcards through simple commands. It provides tools to retrieve due cards and submit review answers directly within dialogues.

Enhances reasoning capabilities by providing a structured thinking space for complex problem-solving with a record of thought history and analysis. Facilitates improved decision-making in scenarios involving long chains of tool calls.

Manage and decompose complex tasks across multiple task management systems, facilitating intelligent workflows and enabling integration with various editors. Supports task tracking, dependency management, and automatic analysis of task complexity through a Python-native implementation.