Feedback Hub MCP
Related Servers
Alternatives to Feedback Hub MCP
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityBmaintenanceEnables natural-language Q&A over customer support ticket data. Provides tools for schema inspection, SQL-based ticket counts and grouping, and full-text search for customer wording without requiring API keys.-
- AlicenseBqualityCmaintenanceProvides AI assistants with read-only access to Chatwoot analytics and operational data, including conversations, agents, inboxes, teams, CSAT, and real-time metrics.301MIT
- FlicenseAqualityCmaintenanceEnables AI clients to query AxonHub admin data through natural language, including instance status, projects, channels, models, requests, and usage statistics, with read-only safeguards and sensitive-field redaction.8-
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to interact with Zendesk ticket data for customer support analysis and insights. It supports searching tickets by tags or keywords, retrieving ticket details, and analyzing agent performance and service trends.-
- AlicenseAqualityDmaintenanceExposes five tools for querying and analyzing a customer-support dataset, including listing categories/intents, filtering, counting, and summarizing records.5MIT
- FlicenseNot gradedqualityDmaintenanceEnables querying and managing a CRM database through natural language conversations with Claude Desktop.-
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: get_feedback_stats returns aggregate counts and breakdowns, while list_feedback returns individual entries. An agent can easily choose between summary statistics and detailed records.
Both names use a consistent snake_case verb_noun pattern: get_feedback_stats and list_feedback. The shared 'feedback' noun and clear verb prefixes make the naming predictable.
Two tools is thin for a feedback hub server, even if the intended scope is read-only. The set feels borderline minimal rather than well-scoped for broader feedback workflows.
The surface only supports reading aggregate stats and listing entries. Core lifecycle operations such as submitting feedback, retrieving a single entry, updating classification/status, or resolving feedback are absent, creating significant gaps for a feedback hub.