"Performing Email-Related Operations in Python" matching MCP servers:

Enables AI assistants to run local-first operations checks, review evidence, and manage durable tickets in a SQLite-backed ledger through self-describing MCP tools.

Enables AI agents to interact with Gmail for classifying messages, extracting action items, and performing batch inbox triage. It supports automated labeling, smart replies, and task creation for external platforms like Linear, Jira, and Todoist.

Provides UK-centric date calculations including bank holiday integration, sprint planning tools, and specialized Asana workflow automation. It enables users to calculate working days, track upcoming holidays, and manage project schedules specifically within the Europe/London timezone.

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

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.

An MCP server exposing internal business operations as tools — task management (create, list, update status) and RAG-style semantic search over an internal knowledge base (leave, expense, and onboarding policies) that any MCP-compatible AI agent can call directly for grounded, non-hallucinated answers.

Proporciona herramientas MCP para gestionar eventos deportivos inclusivos, discapacidades, inscripciones y rutinas mediante microservicios HTTP, con roles de agente (usuario, entrenador, organizador, admin) que filtran las herramientas disponibles.

Provides tools to list pending requests, save priority scores, and retrieve ranked backlog, enabling AI-driven triage of automation requests from a Notion database.

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.

Enables comprehensive management of OpenProject work packages, projects, comments, and relations through natural language. Supports creating, updating, and organizing tasks with assignees, watchers, hierarchies, and inter-task relationships.

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

Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware applications

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.

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.

A Model Context Protocol (MCP) server for Hubstaff API integration, enabling seamless time tracking, project management, and team collaboration through AI assistants.

Enables AI assistants to interact with Azure DevOps projects, including work items, test results, Git repositories, and dependency analysis via the Model Context Protocol.

Enables interaction with ClickUp's project management platform through comprehensive task management, workspace hierarchy navigation, time tracking, document management, and team member operations via the complete ClickUp REST API.

Enables an AI agent to manage Jira Stories in a self-hosted Jira instance via the Jira REST API v2, including CRUD operations, workflow transitions, and burndown data retrieval.