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licenseA
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maintenanceFeedback collection for AI agents. Create surveys from JSON schema, collect responses from groups of people, and retrieve structured results.
5
1
MIT
73,225 servers. Updated
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"Finding the Top 10 Most Frequently Pulled Packages from Nexus Repository" matching MCP servers:
- AlicenseAqualityCmaintenancere-backlog idea management with decision tracking, signal aggregation, and RICE scoring. Captures product feedback from Slack, Teams, Discord, and GitHub181MIT
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- AlicenseBqualityDmaintenanceMCP server for interacting with Shortcut (project management) directly from Claude, enabling viewing, searching, and creating stories, epics, and objectives with safe read-only and create operations.18MIT
- AlicenseBqualityDmaintenanceModel Context Protocol server that enables AI assistants to query and analyze project feedback and bug reports from FeedbackBasket projects, with filtering by category, status, sentiment, and search capabilities.414MIT
- AlicenseDqualityFmaintenanceEnables AI assistants to query and segment event data from Amplitude Analytics via the MCP protocol.2969MIT
Dovetail MCP Serverofficial
Alicense-qualityCmaintenanceConnects AI tools to the Dovetail API, enabling them to interact with Dovetail features.1,2998MIT
rifts.to MCP serverofficial
Alicense-qualityAmaintenanceEnables creating, managing, and analyzing live audience surveys on rifts.to directly from an AI client. Supports creating surveys, listing them, retrieving results, and closing surveys via natural language.Apache 2.0
featurejet-mcpofficial
Alicense-qualityCmaintenanceOfficial MCP server for FeatureJet, enabling agents to read and act on customer feedback boards: list/search posts, file feature requests, and pull top-voted planned items.MIT
Feedback MCPofficial
Alicense-qualityAmaintenanceCollect and analyze user feedback from any app via a single API endpoint, with MCP tools for listing, searching, and stats.1MIT
Outset MCPofficial
Alicense-qualityCmaintenanceConnects AI agents to the Outset research platform for creating studies, managing recruitment, and querying results via the Model Context Protocol.MIT
Sunex Optics MCP Serverofficial
Alicense-qualityDmaintenanceEnables AI assistants to search Sunex's lens and imager catalog using natural language queries. It provides tools for finding compatible lenses, sensor specifications, and product details through a public Model Context Protocol server.MIT- Alicense-qualityDmaintenanceEnables AI assistants to conduct user research workflows directly from Great Question, including creating studies, recruiting participants, and querying insights.MIT
- Alicense-qualityBmaintenanceMCP server for managing Tokei pre-launch and waitlist campaigns, wrapping the Tokei v1 REST API. Enables querying pages, stats, leaderboards, signups, and performing write operations like cloning pages and uploading media through natural language.313MIT
- Alicense-qualityCmaintenanceThis MCP server assists founders in customer discovery by structuring hypotheses, finding interviewees, generating call guides, and synthesizing insights to achieve product-market fit.25,271,753MIT
- Alicense-qualityAmaintenanceMCP server for the Productboard API v2. Provides 30 tools covering entities, notes, relationships, configurations, members, and analytics.27MIT
- Alicense-qualityBmaintenanceA task-management MCP server that enforces strict gates on task states, WIP limits, and closing reasons, refusing operations that would leave the list ambiguous or rotting.MIT
- Alicense-qualityBmaintenanceMCP server for noise-reduced X (Twitter) search planning and Feedback-to-Fix engineering handoffs. Enables AI agents to generate structured search plans, filter signals, and build handoff packages via MCP tools.1MIT
- Alicense-qualityBmaintenanceMCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.28MIT
- Alicense-qualityBmaintenanceEnables coding agents to access structured product context (decisions, goals, evidence) from meetings and tools, ensuring they build from actual product decisions.41MIT
