"Understanding the text content of a webpage" matching MCP servers:

Enables MCP-compatible assistants to connect to a user's workspace, read across boards, notes, checklists, habits, money, meals, chores, and chat, and make scoped additions, changes, or removals with attribution.

An MCP server that uses AI to generate structured Asana project plans from diverse sources like text, PDFs, and meeting transcripts. It enables users to preview, generate, and directly sync detailed task lists, subtasks, and dependencies into Asana.

Runs 20 slash-command workflows across Google Calendar, Gmail, Linear, Slack, Granola, Google Docs, GitHub, Stripe, Notion, Google Forms, Sheets and Drive to produce morning briefs, meeting prep, action items assigned to owners and weekly updates. Reads proceed without asking, while anything that creates, sends, changes or deletes is shown for approval first.

Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.

Enables people to open a shared group chat as a card inside their own AI chat, where they and their AIs talk together and post, claim, and confirm tasks on a self-organizing board. Its tools also let any AI read the repository's code and submit a proposed change that becomes a pull request.

Enables AI-powered task management in OmniFocus with support for project reviews, planned dates, repeating tasks, custom perspectives, hierarchical subtasks, and advanced filtering. Perfect for Claude AI integration with comprehensive CRUD operations for tasks, projects, and folders.

MCP server for Redmine that enables interaction with issues, wiki pages, and time entries through natural language.

Lets a coding agent read and update a local-first roadmap over MCP, proposing actions, plans and checkpoints, reporting progress or blockers, and marking work complete only with evidence. Everything the agent sends stays a proposal until the user reviews and applies it in the app's planning screen.

Connects Claude to Jobber to manage clients, jobs, invoices, quotes, and scheduling through natural language.

Enables AI assistants to manage Bitrix24 CRM entities, tasks, project kanban boards, and Scrum sprints through an incoming webhook, requiring explicit user confirmation for all write operations.

Project management and session memory for AI agents that provides 13 tools for tracking projects, tasks, and context during AI coding sessions.

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.

An MCP server that enables AI assistants to interact with Atlassian Jira and Confluence across Cloud and Server/Data Center environments. It supports tasks like searching and summarizing documentation, managing Jira issues, and creating content through natural language.

Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.

Enables task management through MCP tools, resources, and prompts, backed by a PostgreSQL database.

A shared, concurrency-safe ledger for LLM code audits. It enables multiple agents to collaboratively report, verify, and resolve bugs with deduplication and hallucination resistance.

Connects Claude Desktop to Canvas LMS to monitor academic activities like assignments, announcements, and upcoming deadlines. It enables users to track courses and pending tasks through a unified interface using the Canvas REST API.

Exposes a curated set of Bot Army tools (chat, GTD tasks, docs search, dice roll) to external SSE-only MCP clients via authenticated SSE transport.

Enables automatic filing of notes, links, and meeting lines by classifying each item’s kind, project, urgency, and duplicates, while storing your original text unchanged in an append-only inbox.

Process memory for AI agents and humans that remembers the evolution of a project. Provides MCP tools to create timeline events, search history, explain files, and visualize the evolution graph.

MCP server for Directum RX (ECM/BPM): assignments, tasks, documents and their text, knowledge base, agile boards, project plans, any entity via OData, and search over the system help of your own RX version. Read-only by default; write tools are behind a flag and ask for confirmation.

Atlassian Jira/Confluence MCP server with schema-validated Markdown↔ADF roundtrips — surfaces content-model violations at conversion time instead of silently dropping panels, mentions, and layouts.

Connects Claude Desktop to an Obsidian vault, enabling natural language management of PM documents like PRDs, Jira notes, meeting notes, and ideas with automatic folder structuring and full-text search.

This MCP server lets GitHub Copilot fetch Azure Boards work items by URL or ID and generate QA test cases from the ticket content.

A server that enables management of ApiPost API documentation and team collaboration through the Model Context Protocol, supporting complete interface management directly from compatible editors.

Enables Claude Desktop to interact with Miro boards to list projects, retrieve board items like sticky notes and frames, and search for specific text content. It facilitates seamless board management and information retrieval through the Miro API.

Enables management of TestRail projects, test cases, runs, and results directly through MCP-supported clients. It provides a comprehensive set of tools to interact with the TestRail API for seamless test cycle management within AI environments.

An MCP server that connects AI assistants to Notion, enabling automated research, GitHub tracking, and content pipelines with human-in-the-loop approval via a Notion task queue.

Enables comprehensive management of Zendesk tickets, comments, and Help Center articles through tools for searching, creating, and updating content. It includes specialized prompts for ticket analysis and response drafting to streamline support workflows.

A Model Context Protocol server that enables AI assistants to interact with Sentry for error tracking and monitoring, allowing retrieval and analysis of error data, project management, and performance monitoring through the Sentry API.