"Exploring WhatsApp Integration Options" matching MCP servers:

Enables Jira integration with dynamic configuration, time logging, task creation, issue updates, and bulk imports through natural language.

Enables Claude to manage a personal todo list in Notion, with capabilities to add, view, and complete tasks.

Enables AI agents to interact with Jira Cloud through the REST API, supporting project management, issue operations (create, read, update, delete), JQL search, task assignments, and status transitions.

Enables agents to interact with Salesforce, Atlassian (Jira/Confluence), and Supabase through standardized tools and resources. Provides both read-only access for querying data and write operations for managing records across these enterprise platforms.

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.

A comprehensive Model Context Protocol server for YouTrack integration, providing extensive tools for issue tracking, project management, workflow automation, and team collaboration.

A governed AI agent platform that exposes GitHub Issues, Jira, and Slack as MCP servers, with mandatory human-in-the-loop approval for all write operations and full audit logging to PostgreSQL using PGVector semantic search.

A hybrid MCP server system that enables natural language management of Asana tasks, projects, and portfolios with enhanced security controls. It features a specialized guard server to provide audit logging and two-step confirmation for destructive actions like deletions.

Enables AI models to interact with Linear for issue tracking and project management through capabilities like creating/searching issues, managing sprints, and retrieving workflow states.

Enables seamless task synchronization between Kiro IDE and the Cirvoy project management platform. It provides tools to create, list, and update tasks directly within the IDE using the Model Context Protocol.

Enables AI models to interact with Linear for issue tracking and project management through the Model Context Protocol, supporting capabilities like creating issues, searching, managing sprints, and bulk updating statuses.

Enables intelligent analysis of regression test failures and automatic discovery of solutions in JIRA. Analyzes test logs using AI-driven algorithms and matches errors with relevant JIRA issues through natural language interactions.

Enables Gemini CLI and other AI assistants to manage todos (create, read, update, delete, filter) through natural language commands via the Model Context Protocol.

Enables AI assistants to access and manage OpenProject projects, work packages, attachments, time tracking, wiki, and users via the OpenProject API v3.

Lets agents read a GitHub repository's live issues through read-only tools for listing, filtering, fetching details with comments and cross-references, searching, and exploring labels and milestones, with transparent pagination and provenance notes.

Analyzes your repository and suggests the next tasks to work on, presented as numbered options with context, enabling immediate action.

Enables AI assistants to interact with Atlassian products (Confluence and Jira) through natural language, supporting both Cloud and Server/Data Center deployments. Allows searching, creating, and managing content across Jira issues and Confluence pages with flexible authentication options.

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.

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.