"Redis MCP server or integration" matching MCP servers:

MCP server for Everhour time tracking with first-class Asana integration, enabling tasks lookup, time logging, timer control, and timesheet review.

Exposes 3 meta-tools to efficiently search and execute 174 backend CRUD tools, reducing context token usage by ~98%.

Enables AI agents to read-only inspect an OmniFocus database, retrieving exact tasks and projects, Inbox roots, complete project hierarchies, tags, dates, notes and workload or review overviews. All access is read-only and bounded, with no mutation, write tools or sync triggers.

MCP server for seamless Jira integration with GitHub Copilot CLI, allowing natural language queries to search, view, and manage Jira tickets.

MCP server for Redmine integration, enabling AI assistants to manage issues, upload files, automate workflows, and handle wiki pages.

Enables AI assistants like Claude to interact with Lychee Redmine project management systems through API integration, allowing natural language access to project data and operations.

MCP server for Personal OS API that enables managing tasks, notes, projects, collections, reviews, and more through typed tools over stdio.

A Model Context Protocol server that enables AI assistants to securely interact with Yandex Tracker, supporting issues, queues, comments, worklogs, search, and workflow management with optional Redis caching.

Enables seamless integration with Trello boards, allowing users to manage cards, lists, and activities while automatically handling rate limiting and providing type safety.

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.

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.

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.

A Model Context Protocol (MCP) server for GitLab and Jira integration. This server allows AI agents like gemini-cli to interact with your GitLab and Jira instances.

A Model Context Protocol server that provides seamless integration with Coroot observability platform, enabling monitoring of applications, analysis of performance metrics, examination of logs and traces, and management of infrastructure through Coroot's comprehensive API.

MCP server for Checkvist API integration, enabling Claude to read and write to Checkvist checklists.

An integration server that enables AI assistants like Claude or Cursor to access and interact with strateegia projects through the strateegia API.

A Model Context Protocol server that enables Large Language Models to interact with ClickUp workspace tasks and data, allowing creation and retrieval of tasks through natural language.

Complete Todoist REST API v2 integration with support for tasks, projects, sections, comments, and labels management

Provides comprehensive integration with the Clockify time tracking API, enabling automated time entry management, project organization, task tracking, and reporting through a standardized interface.

Enables LLMs to interact with GitHub issues by providing details as tasks, allowing for seamless integration and task management through GitHub's platform.

MCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.

Enables AI assistants to access real-time weather data by city and manage HR operations including job applications, recruitment tracking, and interview scheduling through a unified, modular interface with live updates via SSE.

A Model Context Protocol server that enables integration with JIRA, allowing users to interact with JIRA tasks and issues through Claude AI assistant.

A server module for Claude Desktop that enables integration with Zerocracy, allowing interaction with the Zerocracy project management platform through natural language commands.

Connect an AI agent to your OKRs. FlowyTeam exposes 33 MCP tools covering OKR objectives, key results, KPI indicators and performance cycles, alongside tasks, projects, HR, attendance, tickets and CRM — one hosted connection for the whole workspace. Supports Claude Desktop, Claude web and mobile, ChatGPT (OAuth 2.0 + PKCE), and Claude Code / n8n (Bearer token). Tools respect the caller's existing

A Model Context Protocol server for interacting with Redmine using its REST API, enabling the management of tickets, projects, and user data through integration with LLMs.

Provides integration with Jira's REST API, allowing AI assistants to manage Jira issues programmatically.

Enables native integration with Apple Reminders on macOS, allowing you to create, list, complete, and manage reminders through natural language.

Enables comprehensive Trello integration via MCP, supporting boards, lists, cards, comments, labels, members, checklists, search, and attachments, deployed on Cloudflare Workers.

A multi-node todo application server using MCP protocol, Redis for storage, and OpenRouter for AI-powered prioritization analysis.

A Model Context Protocol (MCP) server that provides comprehensive Asana integration, enabling AI assistants like Claude to interact with Asana workspaces, projects, tasks, goals, portfolios, and more.

Enables integration with Planfix CRM and task management system, allowing lead management, contact/company management, task creation/search/commenting, and report generation via the Planfix REST API v2.0.

Enables AI assistants to securely interact with Yandex Tracker, covering queues, issues, comments, worklogs, checklists, boards, sprints, attachments, and advanced query-language search. Supports OAuth 2.0 or static token authentication, optional Redis caching, and stdio, SSE, or HTTP transports.

A Model Context Protocol server providing comprehensive integration with Apple Reminders, enabling CRUD operations, natural language date parsing, advanced search, and list management.

A TypeScript implementation of Model Context Protocol that provides integration tools for JIRA ticket creation and TODO management, allowing users to manage tasks through natural language interfaces.

Enforces engineering governance for AI-driven software projects, ensuring state over prompt, freeze over generate, and audit over output through the 5S workflow.

MCP server for Jira integration enabling multi-instance routing, ADF formatting, task caching, and comment templates.

Enables Codex projects to read Git-backed kickoff, acceptance, handoff, progress, and next-step context, and to append validated, audited progress events through scoped MCP tools. This supports visible agent progress, resumable sessions, and safer handoffs.

A comprehensive Model Context Protocol server for Jira Cloud integration, offering tools for board, issue, user, project, and time tracking management with enhanced features like AI-powered workflows and rate limiting.

Enables seamless Jira integration through browser-based OAuth authentication, providing tools for issue management, JQL search, and project access without manual API token configuration.