Enables collaborative document authoring and composition with project-based organization, transforming Markdown and LaTeX content into professional PDFs with conflict-free multi-agent editing capabilities.
Enables AI-powered interaction with Salesforce, providing opportunity intelligence, engagement analysis, business case generation, and standard CRUD operations through natural language.
Provides 10 structured reasoning strategies (Chain of Thought, ReAct, Tree of Thoughts, etc.) for complex problem-solving with session persistence, branching, and tool integration capabilities.
A server that consolidates 21+ Obsidian tools into 5 intelligent operations (vault, edit, view, workflow, system) with contextual workflow hints to help AI agents effectively interact with Obsidian.
An MCP server that allows management of Jira Insights (JSM) asset schemas, enabling CRUD operations for object schemas, object types, and objects through the Model Context Protocol.
Provides tools for interacting with Targetprocess, a project management and agile planning platform, enabling AI assistants to search, create, and update project entities with proper validation.
Enables interaction with Confluence Cloud pages, spaces, content, media, and navigation via natural language, with session-based editing and native macro support.
Provides authenticated access to Google Workspace APIs with a focus on Gmail operations and planned Calendar support, featuring secure OAuth authentication and multi-account management with detailed error handling.
A personality-based MCP server that enables AI assistants to manage WordPress content through natural language by mapping human intents to semantic operations. It provides role-appropriate tools for drafting, editing, and publishing while handling transparent format conversions and native permission enforcement.
Bridges AI assistants to Linux D-Bus for system interaction, enabling clipboard, notifications, screenshots, and service discovery with configurable security levels.
MCP server for interacting with Jira Cloud instances. Enables issue management, JQL queries, project and sprint management, and batch operations via natural language interfaces.
Connects AI assistants to an Obsidian vault as a semantic knowledge graph, enabling graph navigation, semantic search, and content operations through MCP.