"Information about sandbox environments or games" matching MCP servers:

Enables AI tools to interact with the Fellow.ai API for managing action items, notes, recordings, webhooks, and user info with full CRUD operations.

MCP server integrating OBSS Timepiece Time in Status for Jira, enabling queries about issue durations, status histories, and aggregated metrics via natural language.

A read-only MCP server that gives LLM agents deterministic operational facts about Trello boards, including structural history, card movement, workflow flow, staleness, and due-date information.

Enables defect management on the SEPP platform, allowing users to query defects, retrieve user project information, and set up automated monitoring with alerts for new or unresolved defects via webhook or email.

Enables AI assistants to manage Sciple platform content including environments, services, dashboards, runbooks, projects, and tickets through the Sciple REST API.

MCP server for reading ONES documents in intranet environments, supporting authentication via account/password or browser session reuse.

Enables AI assistants to manage Optimizely DXP deployments through natural language conversations. Supports code deployment, database operations, content synchronization, and environment management across Integration, Preproduction, and Production environments.

Read-only MCP bridge connecting Claude Desktop to Merlin Project on Mac, allowing natural-language queries about plans, activities, resources, and project data.

Connects your Ashby recruiting data to Claude, enabling natural language queries and management of candidates, applications, jobs, interviews, offers, and team information.

Enables AI assistants to retrieve Trello card information by ID or link, providing access to card details including labels, members, due dates, and attachments through a standardized interface.

Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.

A Model Context Protocol server that enables seamless interaction between MCP clients (like Claude Desktop) and CODESYS V3 programming environments, allowing automation of project management, POU creation, code editing, and compilation tasks.

A Model Context Protocol server for intelligent task management in AI-powered development environments, providing file-based storage, dependency management with cycle detection, and an interactive CLI.

A zero-dependency MCP server that answers common questions about Jira work, such as what is assigned to me, standup status, sprint health, and more, without returning raw issue JSON.

Connects Canvas LMS to Claude Desktop, enabling natural-language queries about courses, assignments, grades, and more.

Enables MCP clients to interact with Jira for managing tasks, including fetching assigned issues and creating new tasks. It supports retrieving detailed task information and filtering by project or status using the Jira API.

Enables AI agents to access Planning Center Online data including worship plans, song library, teams, and volunteer information through natural language queries and direct tools.

Enables the creation of interactive schedule visualizations on rhylthyme.com featuring parallel tracks, dependencies, and resource constraints. Users can import recipes or protocols from external sources and define custom workspace environments to generate shareable timelines with live execution timers.

MCP server to provide Jira Tickets information to AI coding agents like Cursor

Integrates Claude with Jira for corporate environments using an internal MCP server with SSE, supporting ticket creation, update, summarization, and listing via natural language commands.