Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.
MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.
Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.
Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.
Enables agents to read and report, and to carry human-authored updates into systems of record after human consent, while structurally preventing autonomous writes of commitments like owners, due dates, or statuses.
Fast native Swift OmniFocus MCP server and CLI for macOS. Let AI assistants safely read, update, complete, and organize tasks and projects through documented Omni Automation APIs.
A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.
Allows Claude Code agents to pull tasks from an EasyTopic Kanban board, automate planning, commenting, approval, implementation, and closing of topics.
MCP server for DCI API enabling AI models to extract and analyze DCI jobs, components, and topics, with integrations for Google Drive, Jira, GitHub, and Red Hat support cases.
An MCP server that facilitates interactive software development planning by breaking down projects into manageable tasks, tracking progress, and saving implementation plans.
MCP server for Redmine project management, enabling tools for managing projects, issues, users, time entries, groups, memberships, versions, wiki, news, attachments, search, and Agile sprints via the Redmine REST API.
Exposes 30 tools to manage Redmine resources (issues, projects, users, time entries, wiki pages, news, files, roles) via the REST API using stdio transport.
Enables MCP-capable AI assistants to search and retrieve past Jira issues, resolutions, and recurring topics from a fully local embedded knowledge base using hybrid semantic and keyword search.
Enables AI assistants to research topics, analyze codebases, generate requirements and user stories, scaffold starter projects, and run multi-step development workflows through natural language.
Enables AI assistants to research topics, generate product requirements and user stories, map codebases, curate context, scaffold full-stack starter projects, and run multi-step development workflows.
Enables AI assistants to research topics, map and analyze codebases across 35+ languages, curate context, and generate requirements documents, user stories, task lists, and full-stack starter projects. It also supports multi-step workflow execution and AI-native task management through a CLI, interactive REPL, or MCP client integration.
Enables MCP-capable agents to fetch work from Slack threads, propose GitHub issues or updates, link messages to topics, ask the channel questions, and report write results, with human approval gates for GitHub actions.
Enables AI assistants to research topics, plan software, generate requirements, create starter projects, map codebases, curate context, manage tasks, and run multi-step development workflows through MCP-compatible clients.
Enables AI assistants to research topics, map and analyze codebases, curate context, and generate PRDs, user stories, task lists, and fullstack starter projects through natural language commands or an interactive CLI/REPL. It also provides AI-native task management and multi-step workflow execution.
Enables multiple AI agents to share one local SQLite kanban by registering identities, creating and breaking down items, recording progress, and submitting work for acceptance under enforced approval gates. It also lets agents read and propose updates to per-project handoff memory so a new session can pick up work without a fresh briefing.
Enables AI assistants to research topics, plan and generate software requirements, manage development tasks, analyze codebases, and scaffold full-stack starter projects through integrated development tools.
Enables AI-powered competitor monitoring and daily schedule optimization by integrating news data with calendar and task management tools like Google Calendar, Jira, and Asana. It allows users to automate intelligence gathering and generate structured daily plans based on strategic priorities.
An MCP server that helps users with ADHD traits manage Slack mentions by analyzing requests, structuring replies, and breaking tasks into small, actionable steps.
Enables Claude Desktop to scan, analyze, and track job postings from Hacker News and Y Combinator's Work at a Startup using a 24-tool MCP server with multi-stage filtering and resume-based ranking.
Local round table enabling multiple agents and a user to share topics, history, and requests with @agent, with persistent conversations and task management.
A production-grade coordination hub that enables AI agents and human teams to work as a single organism by sharing tasks, context, decisions, and persistent memory across projects. It features two-tier agentic memory with per-agent hot caches, inter-agent messaging, and multi-agent authorship tracking for seamless collaboration.
A read-only MCP server that syncs only the Telegram chats, folders, and forum topics you explicitly mark (via Telegram folders or watch.py) into a local SQLite index using Telethon, then exposes 13 read-only tools to an agent. Enables listing watched topics with unread counts, fetching new messages since last read, paging and date-filtered history retrieval with context budgets, full-text search over years of history (SQLite FTS5/bm25), activity stats, link/mention extraction, digests, and extracted entities such as tasks, decisions, promises, and questions with overdue tracking — all through user-defined aliases. No tool writes to Telegram, keeping the integration strictly read-only.
