A simple, beginner-friendly Model Context Protocol (MCP) server written in Python. It lets any MCP-compatible AI client (like Claude Desktop) manage a to-do list on your computer through five tools: add, view, get by ID, complete, and delete.
Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.
MCP server that exposes a TODO list API to AI assistants, enabling natural language management of tasks with create, read, update, and delete operations.
Enables AI assistants to interact with an on-premise Azure DevOps Server 2022, allowing users to list, view, create, and update work items through natural language.
Allows Claude Code agents to pull tasks from an EasyTopic Kanban board, automate planning, commenting, approval, implementation, and closing of topics.
Lets any MCP client drive the recruiting workflow in natural language: create roles, screen CVs, schedule and manage candidate interviews, and read back scored reports with transcripts.
Integrates MantisBT bug tracker into Claude and other MCP clients via the REST API. Read and manage issues, notes, file attachments, tags, relationships, and monitors — with optional offline semantic search across all issues.
Exposes a Notion-synced AI OS as read-only MCP tools, enabling MCP-compatible AI clients to search the vault, fetch page contents, list projects, and check project statuses without scraping public links.
Connects Claude and other MCP-compatible AI assistants to the AI Bounty Board, enabling natural language discovery, claiming, and submission of bounties.
A local Model Context Protocol server providing backend tools for AI agents to manage projects and tasks with persistent storage in SQLite, enabling structured tracking of project tasks with dependencies, priorities, and statuses.
Automates the generation of professional worklogs by analyzing git commits with AI enhancement and seamlessly posting them to the Povio dashboard. It enables users to list projects, extract ticket numbers, and manage worklog entries through natural language commands.
Enables AI assistants to interact with SMB platform APIs for querying business data, managing tasks, accessing connectors, dashboards, and monitoring security.
Enables AI assistants to interact with the Worksection project management platform to manage projects, tasks, comments, and members through natural language. It provides a comprehensive suite of tools for task execution and project oversight while automatically handling API rate limits.