"Understanding Perl, Language Server Protocol (LSP), and Abstract Syntax Trees (AST)" matching MCP servers:

Provides AI agents with scoped access to backlog and task workflows, using PostgreSQL RLS tenant isolation and lease-based claims so they can safely read and update tasks within their own workspace.

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 natural language time tracking and reporting for Harvest, including automatic leave requests, project/task matching, and date parsing.

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.

Provides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, providing capabilities for work item management, project management, and team collaboration through natural language.

Provides read and write access to Railyard projects and organizations via the Model Context Protocol, enabling project management, validation, export, and org administration through natural language.

A local MCP server giving Claude access to Trimble Connect, with 40 tools for projects, folder trees, files, versions, members, groups, and permissions via the Core API v2.

A Model Context Protocol server that enables AI agents to interact with ClickUp workspaces, allowing task creation, management, and workspace organization through natural language commands.

MCP server that lets Claude manage an ISO 19650 / TCVN 14177 Common Data Environment on Autodesk Construction Cloud — projects, CDE folder trees, permissions, files, document status and naming compliance.

A Model Context Protocol (MCP) server that connects AI assistants to your TickTick tasks, enabling task management through natural language.

A Model Context Protocol server for FeaturePulse feedback management, enabling AI assistants to query feature requests, analyze MRR impact, and manage product roadmaps through natural language.

An unofficial Model Context Protocol server that connects MCP-compatible clients to Karbon practice management, enabling natural language interaction with contacts, work items, notes, timesheets, and more.

A Model Context Protocol service for Claude that enables natural language interaction with Microsoft Todo tasks, including viewing task lists, creating tasks, and managing checklist items.

A Python MCP server that enables AI assistants to manage Todoist tasks and projects through the Model Context Protocol. It supports full CRUD operations for tasks and projects, including support for nested projects and Todoist's advanced filter syntax.

Connects AI assistants to a Request Tracker (RT) instance, enabling natural language ticket search, creation, updates, and queue management via the MCP protocol.

Enables hierarchical problem analysis using logic trees with MECE validation, hypothesis generation, and feasibility assessment for structured decision-making.

Bridges Motion's AI-powered calendar and task management API with LLMs via the Model Context Protocol, enabling natural language management of tasks, projects, schedules, comments, and more.

An AI-first business and project management tool that stores data locally in Markdown and JSON files, exposed via the Model Context Protocol (MCP). Enables project, issue, client, contact, and note management through natural language.

A Model Context Protocol server that enables large language models to interact with Linear's issue tracking system, allowing management of issues, projects, teams, and other Linear resources.

A Model Context Protocol server that enables interaction with Jira's REST API using natural language commands, allowing users to manage Jira projects, issues, comments, and workflows through Claude Desktop and other MCP clients.

Enables AI tools and agents to form contract-bound organizations, execute persistent task DAGs with independent audits, score decisions with counterfactual trees, run time-compressed world simulations, and control an on-demand localhost dashboard via stdio tools.

Bridges Motion's API with LLMs via the Model Context Protocol, enabling natural language task, project, and schedule management.

A Model Context Protocol server that provides integration with Jira, allowing Large Language Models to interact with Jira projects, boards, sprints, and issues through natural language.