"Access to filesystem resources" matching MCP servers:

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.

Provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.

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.

Provides todo management capabilities, allowing AI agents to add, list, and complete tasks via MCP tools, resources, and prompts.

Enables AI assistants to manage COR project management platform resources like projects, tasks, hours, clients, teams, and users through natural language.

MCP server for parsing, querying, and analyzing Primavera P6 XER files with 13 tools, 3 resources, and 2 prompts.

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

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

Enables interaction with the Clockodo time tracking API, providing tools, prompts, and resources for time tracking, HR analytics, and team management with role-based access.

An MCP server that provides full read/write access to OmniFocus, enabling AI assistants to manage tasks, projects, folders, tags, and perspectives via 51 tools, resources, and prompts.

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.

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

MCP server for accessing and managing Linear resources like issues, projects, and comments with full CRUD operations and search.

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.

A Model Context Protocol server that enables AI to manage AtomGit open source collaboration platform resources including repositories, issues, pull requests, branches, and labels.

Exposes 30 tools to manage Redmine resources (issues, projects, users, time entries, wiki pages, news, files, roles) via the REST API using stdio transport.

Provides full access to the Coda API v1, enabling AI agents to interact with Coda docs, tables, rows, formulas, and more through 51 tools.

Enables interaction with Topcoder challenges through tools that support authentication-based access via JWT and role/permission guards.

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.