mcp-metricool
OfficialRelated Servers
Alternatives to mcp-metricool
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceAn MCP server that standardizes and contextualizes industrial Modbus data.25MIT
- -
- MIT
- AlicenseBqualityCmaintenanceMathematical Optimization MCP Server with PuLP and OR-Tools support135MIT
- AlicenseAqualityDmaintenanceheroicons-mcp is a Model Context Protocol (MCP) server that exposes Heroicons. It allows LLMs and agentic applications to search, list, and generate usage examples of icons in React applications.36 npmMIT
- MIT
TDQS
Scored across 28 tools
Most tools are clearly distinct by social network and content type (e.g., get_facebook_posts vs. get_instagram_reels), but there is some overlap between get_brands and get_brands_complete, and between get_analytics and various network-specific tools for retrieving data. The descriptions help clarify when to use each, but an agent might occasionally be uncertain between the two brand tools or between general analytics and specific post retrieval.
Tool names follow a highly consistent verb_noun pattern throughout, with all tools using 'get_' or 'post_' or 'update_' prefixes followed by a descriptive noun phrase (e.g., get_facebook_posts, post_schedule_post, update_schedule_post). There are no deviations in naming conventions, making the set predictable and easy to understand.
With 28 tools, the count feels heavy for a social media management server, bordering on excessive. While the domain involves many networks and content types, the number could be streamlined (e.g., by combining similar tools across networks). It's not extreme, but it's on the higher end of what's manageable for an agent.
The tool set provides comprehensive coverage for social media management: retrieving brands, analytics, metrics, best times to post, competitors, and posts from various networks (including ads campaigns), plus scheduling and updating posts. There are no obvious gaps; it supports full CRUD-like operations for scheduling and rich data retrieval across the domain.