"How to read document contents" matching MCP servers:

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.

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

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

Exposes a Notion-synced AI OS as read-only MCP tools, enabling MCP-compatible AI clients to search the vault, fetch page contents, list projects, and check project statuses without scraping public links.

Enables reading GitHub Projects v2 kanban boards mid-conversation, with tools to list boards, retrieve board details, and summarize their contents.

Enables AI agents to interact with issue, comment, document, and agent workflows through a simplified HTTP API, returning compact Markdown or file-based snapshots.

AI job search and job application tracker. Search live jobs by title, location, salary, date posted, and remote or on-site, and see each one checked on real data: pay against market rates, ghost-job signals, visa sponsorship history, and how well it matches your resume. Check how hiring software reads your resume, track applications, set follow-up reminders, and get email alerts.

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.

Enables AI agents to read and edit Microsoft To Do tasks, lists, and steps via Microsoft Graph, including due dates, reminders, and subtasks.

MCP server that connects Clio Manage to Claude via OAuth, enabling law firm management tasks like matter lookup, time tracking, billing, calendar, and document retrieval through natural language.

Integrates with Dradis Pro to manage projects, vulnerabilities, content blocks, and document properties through MCP-enabled tools.

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

Gives Claude persistent, local context about how you work, your weekly agenda, and shipped work, with automatic work logging and git integration—all stored privately on your machine.

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

Enables Claude to create, read, update and delete Microsoft To Do lists, tasks and checklist items, and Microsoft Planner plans, buckets and tasks, through Microsoft Graph as the signed-in user. Lists, plans and buckets can be referenced by ID or exact name, with destructive deletes requiring confirmation.

Lets Claude and other AI clients read and modify Microsoft To Do through natural language, adding, completing, searching, updating, and deleting tasks and sub-steps by title and list name instead of ids. Personal Microsoft accounts need no Azure app registration — a single device-code sign-in grants access, with optional read-only and no-delete modes available.

Provides a document database with search, retrieval, and creation tools, and a task tracker with search and status filtering, enabling AI agents to manage documents and tasks via natural language.

Enables AI assistants to interact with Atlassian Cloud APIs for Confluence and Jira, supporting document management, search, issue tracking, and sprint operations through natural language.

A Dart-based MCP server implementation that enables AI-assisted task management, document handling, and workspace organization through standardized tools and seamless Dart integration.

A Model Context Protocol server that enables AI assistants to create and manage JIRA issues with rich markdown formatting and automatic conversion to Atlassian Document Format.

Persistent multi-agent work graph and document-state machine for contracts, specs, slices, evidence, verification, handoffs, and cost-aware AI execution.

An MCP server that helps teams create, manage, and access structured project documentation through six core document types, leveraging AI to generate comprehensive project knowledge management.

Converts a plain-english goal into a structured plan document: Gantt chart, risk, stakeholders, SWOT, and role descriptions. A detailed first draft - expect to verify budgets and timelines before use.

A remote MCP server (Node.js/TypeScript) deployed on Azure Container Apps that provides todo list management tools with JWT authentication and role-based access control.

Enables AI agents to query, and when writes are enabled operate, an ISP management platform in natural language, including subscriber lookup, internet profiles, work orders, technicians, and network status. It runs locally against the platform’s public API with an API key, defaults to read-only, and redacts personal contact and document fields from agent-visible responses.

Lets an external AI agent work inside shared project rooms as a genuine client, handling seven tools that list and fetch projects, read full room state (project, document, recent chat, presence), post chat messages, edit the shared document, create projects, and upvote. Every action happens under a visible agent handle over the same REST and WebSocket endpoints humans use, returning schema-declared structured content and machine-readable error codes so agents can plan multi-step work.

Enables managing Microsoft To Do lists and tasks through MCP, including creating, updating, completing, deleting, searching, and checklist operations via Microsoft Graph.

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.

A Model Context Protocol (MCP) server for project document management with 32 comprehensive prompts covering the complete software development lifecycle.

Exposes the Beck agent plan board REST API as 34 MCP tools, enabling agents and terminal users to manage workspaces, documents, epics, tasks, progress, and decisions with etag-guarded document writes.