Wraps UOF (U-Office Force) SOAP/ASMX WebServices as MCP tools, enabling AI agents to perform enterprise workflow tasks like form query, application, approval, and case closure via Model Context Protocol.
A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, allowing users to query work items with plans to support creating/updating items, managing pipelines, handling pull requests, and administering sprints and branch policies.
A Model Context Protocol (MCP) server that provides AI assistants with secure, authenticated access to SpeechWire tournament data for speech-and-debate competitions.
A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, providing capabilities for work item management, project management, and team collaboration through natural language.
A Model Context Protocol (MCP) server for the Atlassian Goals API. Enables AI assistants like Claude to query, search, and update Atlassian Goals and Projects.
Model Context Protocol (MCP) server for Monnet. Exposes motions, plans, and approvals to MCP-compatible clients so you can work with your Monnet workspace from your terminal without leaving your AI assistant.
Enables teams to measure their actual ticket-writing style from GitLab, Jira, or GitHub and check new or draft tickets against that learned house profile, with optional model-backed drafting.
Provides read and write access to Railyard projects and organizations via the Model Context Protocol, enabling project management, validation, export, and org administration through natural language.
A persistent state machine and notification system for AI agents to manage complex, multi-step workflows via the Model Context Protocol, preventing context drift by maintaining structured checklists and sending desktop alerts.
A Model Context Protocol (MCP) server for accessing Productive.io API endpoints (projects, tasks, comments, todos), tailored for read-only operations, providing streamlined access to essential data while minimizing token consumption
A local Model Context Protocol server providing backend tools for AI agents to manage projects and tasks with persistent storage in SQLite, enabling structured tracking of project tasks with dependencies, priorities, and statuses.
Model Context Protocol (MCP) server for Freedcamp task management. Create, update, and list tasks in Freedcamp projects via a local MCP server. Includes robust validation, environment variable support, and easy integration with IDEs like Cursor and Roo.
A Model Context Protocol server that integrates OmniFocus with Claude Desktop, providing AI-powered access to tasks and projects for enhanced task management and weekly reviews.
A Model Context Protocol server that enables AI agents to interact with ClickUp workspaces, allowing task creation, management, and workspace organization through natural language commands.
An MCP (Model Context Protocol) server for Codebeamer ALM. Allows Claude and other MCP clients to read and write projects, trackers, and items in Codebeamer using natural language.
Enables coding agents to read and work a Zuuna board directly, with tools to list boards, view cards, create/update/move cards, and comment via the Model Context Protocol.
A Model Context Protocol server for FeaturePulse feedback management, enabling AI assistants to query feature requests, analyze MRR impact, and manage product roadmaps through natural language.