"Multi-platform information search across productivity and knowledge tools" matching MCP servers:

MCP server that connects AI assistants to Super Productivity for managing tasks, projects, and tags through natural language, supporting quick capture, batch triage, and full planning workflows.

Enables AI assistants to manage tasks, projects, and analyze productivity directly in Super Productivity through real-time integration via Socket.IO bridge plugin.

An MCP server that connects AI assistants to Super Productivity for managing tasks, projects, and tags. Supports quick capture, batch triage, and full planning sessions through natural language.

A multi-domain productivity tool that currently enables job search automation, application tracking, and pipeline analysis for Career management. Future phases plan to add health tracking, workout management, and family expense monitoring capabilities.

An MCP server that connects ChatGPT Desktop or Codex to Super Productivity's local REST API, enabling explicit task selection, planning, timer control, and completion via natural language.

Enables MCP clients to manage Super Productivity tasks, projects, and tags via its Local REST API, including task creation, updates, starting, stopping, archiving, and reading status and Focus Mode state.

Enables interaction with Super Productivity's local REST API to manage tasks, projects, and time tracking through natural language.

Provides MCP tools for GitHub code search, Jira sprint status, pull request risk analysis, and project metrics, enabling agentic workflows for developer productivity.

Lets an AI assistant read and write business records in plain language, including looking up people, creating and updating tasks, logging time, and pulling utilization reports through a synthetic ops platform or an optional ClickUp adapter.

MCP server wrapping a mock internal ops platform (FastAPI + SQLite) so Claude Code can read and write employee, project, task, and time data through natural language.

Provides centralized knowledge management for projects, allowing users to store, search, and maintain project-specific knowledge that persists across sessions.

Enables Claude to interact with Super Productivity's local REST API for task, project, and tag management, including CRUD operations, status checks, and daily planning prompts.

Enables personal productivity management by exposing MCP tools to create, retrieve, list, update, complete, and delete tasks and calendar events, with validation and conflict detection.

Enables multi-tenant task management through a remote MCP server with OAuth2 authentication, per-tenant data isolation, rate limiting, and a client SDK.

Enables coding agents to read and modify GitHub issues, project boards, pull requests, repositories, releases, and Actions through configurable toolsets, with read-only and write-confirmation controls.

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.

Enables Claude Code to read and write issues on the Testing Platform via natural language, including listing projects, filtering issues, creating and updating issues, and adding comments.

Centralized MCP server for spec-driven AI agent workflows, enabling isolated feature management, task tracking, and implementation with handoff and archiving capabilities across multiple projects and developers.

Enables AI agents to interact with tasks, spaces, lists, and folders across multiple ClickUp workspaces via the Model Context Protocol.

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 interaction with multiple Jira and Confluence workspaces simultaneously, with automatic account routing by URL or issue key.

A single MCP server that lets users interact with multiple Jira Cloud sites at once, routing requests by issue-key prefix and supporting attachment download/upload to disk.

A standalone MCP server that provides AI tools by proxying requests to the FTC Platform's REST API, enabling tasks like fetching event applications, evaluations, and scoring criteria.

Automates enterprise Power Platform project setup and management via MCP, reducing setup time from weeks to hours through template-based provisioning, Azure DevOps orchestration, and direct API integration.

A Model Context Protocol server that provides AI assistants with structured access to your Logseq knowledge graph, enabling retrieval, searching, analysis, and creation of content within your personal knowledge base.

A modular multi-server architecture providing development automation, JIRA management, and performance reporting for Claude Code. It features specialized tools for PR health analysis, code reviews, and generating comprehensive team and individual quarterly reports.

Provides task and project management tools for AI agents, including todo list management, prioritization frameworks like Eisenhower Matrix and RICE scoring, time estimation using PERT, daily standup generation, and sprint burndown calculation.

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 search and management of Azure DevOps work items and wiki pages via MCP, wrapping the ado-search CLI.

A production-ready MCP server that connects AI assistants to the D-Tools System Integrator platform, enabling natural language management of AV projects, clients, catalogs, tasks, service orders, and purchase orders.