"Using MySQL STDiO with Node.js or Python to Implement an MCP Server" matching MCP servers:

Enables to manage to-do items through natural language, with tools for creating, reading, updating, and deleting tasks.

MCP server for Jira integration with stdio transport. Enables reading, writing, and managing Jira issues and projects directly from Claude Desktop. Supports issue creation, updates, comments, JQL search, and project management.

A local Model Context Protocol server (stdio) for Redmine that allows you to work with Redmine issues, projects, and time entries directly from your editor.

A Model Context Profile server that enables Claude to interact with Todoist, allowing users to create, retrieve, update, and manage tasks through natural language commands.

A powerful MCP server for interacting with Trello boards, lists, and cards via AI Hosts.

MCP server for JIRA integration enabling issue management, search, comments, and linking via natural language.

A Python-based server allowing seamless integration with JIRA for managing and interacting with projects through custom APIs.

Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose

A server implementation that allows AI models to interact with Jira through the Model Context Protocol, enabling tasks like JQL searches and retrieving issue details.

A Model Context Protocol (MCP) server that enables AI assistants like Claude and Cursor to interact with Microsoft To Do via the Microsoft Graph API.

Enables the analysis of GitHub Pull Requests to extract metadata, commits, and code changes for structured AI insights. It also supports the optional creation of Notion pages to store and organize the resulting analysis.

Enables agentic coordination by connecting humans and AI agents through group messaging, project tracking, and milestone management. It provides tools for consensus voting, progress checkpoints, and multi-session collaboration across various agentic platforms.

MCP server for Microsoft To Do via Microsoft Graph. MSAL device code flow, no client secret needed.

Lightweight project management for teams and AI agents.

Enables AI agents to manage Kanban boards, cards, sessions, and automations through a unified MCP interface with real-time updates, supporting delegation, agent sessions, and human-in-the-loop interactions.

Read-only MCP server for Clockify time tracking, exposing 60 raw read tools and five workflows for status, workspace overview, and review of days/weeks.

A production-ready Model Context Protocol (MCP) server that extends GitHub Copilot with GitHub repository management capabilities. Enables AI-driven issue tracking, repository information retrieval, and seamless GitHub integration.

MCP server for Codecks project management, providing 38 tools to manage cards, decks, milestones, tags, and workflows via the Model Context Protocol.

MCP server for the Plaky project management API. Provides 32 generated and 7 curated tools for spaces, boards, items, comments, and more, with safe defaults and dry-run mutations.