"How to conduct web searches" 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.

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.

Integrates Jira and Sourcegraph, enabling LLMs to retrieve and comment on Jira issues and perform code searches using Sourcegraph.

Read-only MCP server for the HIT ticket management system that lists queues, searches/fetches ticket details, and lists ticket templates.

Enables Claude Code to interact with JIRA through natural language, supporting issue creation, updates, searches, and workflow transitions, designed for enterprise intranets.

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.

Provides access to Fellow.ai meeting data including transcripts, summaries, action items, and participants, with local SQLite caching for fast searches and offline access.

Enables managing Microsoft To Do tasks from chat via natural language, including OAuth login, task/list creation, updates, searches, completions, and deletions, with optional HTTP transport and web admin console.

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

Enables AI assistants to search and browse Jira Service Management Assets data using AQL queries, schema exploration, and hierarchical object searches. It features robust automatic pagination to ensure reliable retrieval of complete asset datasets.

Small MCP server for connecting to enterprise Jira using a personal access token. It enables issue operations, project listing, JQL searches, and attachment handling.

Enables AI assistants to interact with Zoho Projects for managing projects, tasks, issues, milestones, users, and performing searches. Supports comprehensive project management operations through natural language with automatic OAuth token handling.

Enables AI assistants to access and manage Jira boards, sprints, epics, issues, JQL searches, transitions, comments, worklogs, projects, users, and any REST endpoint across Jira Cloud and Data Center.

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.

An MCP server that enables interaction with Jira to fetch issues by key and perform JQL searches. It provides a foundation for integrating multiple work systems, with planned support for Slack and GitHub.

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.

Enables users to manage CRM leads, opportunities, projects, tasks, and sales records within ERPNext directly through MCP-compatible clients. It supports global searches, timesheet entries, and access to dashboard KPIs using natural language.

Open-source MCP server that connects AI assistants to Fizzy (Basecamp's task management) with 70+ tools for boards, cards, workflows, and AI-powered project management.