"Understanding and Building Probability Density Functions (PDF) Models" matching MCP servers:

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.

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.

Connects coding agents to Amendor to pull change requests from live sites and automate building branches and pull requests.

Provides construction-supervision tools for small-to-medium building projects, including stage guidance, inspection checklists, progress tracking, next-stage recommendations, and quotation analysis. It enables local, standards-based MCP interaction over stdio without third-party MCP SDKs.

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.

Enables autonomous Jira-to-PR workflows in Claude Code by fetching context from Jira, GitHub, Notion, and Slack, building structured prompts, and handling branch pushes, PR creation, CI polling, and task completion.

Enables AI clients to manage time tracking directly, including starting and stopping timers, handling workspaces, projects, and tags, and generating PDF/CSV reports and invoices.

Exposes Dokploy functionalities as tools consumable via the Model Context Protocol, allowing AI models and other applications to programmatically manage projects and applications on a Dokploy server.

Enables AI assistants to control, automate, and query desktop project-management schedules in real time via native Windows COM, including task/WBS management, resource and cost assignment, baselines, critical path, status reporting, and PDF export.

Enables users to browse and read local files in text, Office, and PDF formats, list local projects, and create, monitor, and update project execution tasks from Chat.

Enables interaction with a Swedish building permit case management system, allowing case overview, listing, retrieval, summarization, status updates, note addition, and creation of cases through natural language.

Enables AI models to maintain a session-scoped checklist of todos, reading and updating it via todo_read and todo_write, with optional JSON file persistence.

MCP server for freelancers and software agencies. Turns client messages and screenshots into a versioned project scope, with requirements, questions, risks and hour ranges. Exports Markdown, PDF and Word. Self-hosted. Defines scope, not prices.

Connects MCP-compatible AI assistants such as Claude Desktop, Cursor, and Windsurf to a Planora account so they can list, read, create, edit, and delete markdown notes and folders, export files as PDF download links, and manage active device sessions. Authentication uses Google Authenticator TOTP codes with locally stored, refreshable session tokens.

Enforces a structured planning-before-building workflow for AI coding agents via an MCP server, maintaining a project diary and protocol to ensure agents understand context and success criteria.

Enables AI models to search Jira issues using JQL and retrieve issue details through the Jira 9.12.14 API.

MCP server to attach PDF status reports to file columns on Monday.com items.

Provides SEO, WPO, and Asana project management tools for enhancing interactions with language models.

Enables AI models to interact with Linear for issue tracking and project management through capabilities like creating/searching issues, managing sprints, and retrieving workflow states.

MCP server integrating with PocketBase to manage tasks and projects. Enables AI models to create tasks, list tasks with status filters, and browse projects.

Enables automated project analysis and structured development specification generation. Supports multiple export formats and integrates with AI models for comprehensive project documentation and validation.

Enables a weekly review of Todoist tasks by listing overdue tasks with key signals (days overdue, priority, times postponed) and letting Claude propose fixes per task, which you approve or veto in chat before any changes are applied.

Pre-flight scoring for AI agents, returns Accelerate, Fix, or Stop with EUR value range, decision confidence, and pace-layer drag.

Enables AI agents to send emails and manage tasks in Microsoft To Do with scoped, low-risk access to Microsoft Graph.