A
licenseA
qualityD
maintenanceEnables playing a Workato-themed text-based RPG through MCP tools, allowing users to explore dungeons, battle enemies, and manage character progression in an integration-themed adventure.
15
1
MIT
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"Quest" matching MCP servers:
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- FlicenseCqualityDmaintenanceControls Oculus Browser via WebSocket CDP protocol, enabling full browser automation with Playwright-like API for navigation, interaction, content extraction, and more.571
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- AlicenseAqualityBmaintenanceManage podcast guest pipeline, outreach drafts, and analytics via 5 MCP tools.5MIT
- AlicenseAqualityCmaintenanceMCP server for self-hosted qTest Manager, enabling natural-language management of projects, modules, test cases, requirements, traceability, and test execution via the qTest REST API.31MIT
- AlicenseAqualityBmaintenanceThis is an unofficial, community-built MCP server for qTest Manager. Not affiliated with or endorsed by Tricentis. Browse projects, modules, and test cases Create/delete test design modules Create and manage test execution cycles Add test cases into execution suites9301MIT
- FlicenseAqualityCmaintenanceEnables AI agents to query component governance rules, validate component props, and generate development prompts for questionnaire editors.4
mcp-server-questdbofficial
AlicenseAqualityBmaintenanceQuestDB MCP server connects coding agents to a running QuestDB Web Console. The agent gets tools to create notebook cells, run queries, and build charts.3401Apache 2.0- AlicenseAqualityDmaintenanceMCP server for question.market prediction markets on Algorand. Enables market browsing, wallet onboarding, and trading through natural language.1325MIT
- AlicenseBqualityAmaintenanceAn unofficial MCP server that integrates with the Questrade API to provide access to trading accounts, market data, and portfolio information. It enables users to view balances, track positions, search symbols, and analyze market trends through natural language.9866MIT
- FlicenseBqualityDmaintenanceProvides an interactive user interface for asking questions with support for text inputs, single/multi-select options, and confirmation dialogs. It allows LLMs to gather structured input or feedback from users through a set of predefined input types.2