Audiense Insights MCP Server
OfficialRelated Servers
Alternatives to Audiense Insights MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseDqualityFmaintenanceEnables LLMs to interact with Google Ads accounts via tools like list_accounts and search_stream, using a standardized Model Context Protocol integration.211Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables interaction with dbt projects via the Model Context Protocol for data analysis and insights.3MIT
- AlicenseAqualityBmaintenanceEnables interaction with Google Ads accounts through the Model Context Protocol, specifically tuned for local service businesses. Provides account health scoring, search term waste analysis, and diagnostic insights without requiring GAQL knowledge.1183 npmMIT

funnelkeeper-mcpofficial
AlicenseNot gradedqualityBmaintenanceExposes a Model Context Protocol interface to a growth and revenue API, enabling MCP clients to manage account data and interact with platform tools through natural-language-driven tool calls.3 npmMIT- AlicenseNot gradedqualityDmaintenanceProvides a standardized interface for interacting with Mailchimp's tools and services through the Model Context Protocol, enabling easy management of Mailchimp campaigns, audiences, and reports via natural language commands.1MIT
- AlicenseNot gradedqualityDmaintenanceEnables LLMs to interact with the Google Ads API through the Model Context Protocol, allowing natural language queries for campaign management and metrics.Apache 2.0
TDQS
Scored across 8 tools
Each tool has a clearly distinct purpose with no overlap: compare-audience-influencers focuses on influencer comparisons, get-audience-content on content engagement, get-audience-insights on aggregated statistics, get-baselines on baseline data, get-categories on affinity categories, get-report-info on report metadata, get-reports on report listings, and report-summary on report summarization. The descriptions reinforce these distinct roles, making tool selection unambiguous.
All tool names follow a consistent kebab-case pattern with a verb-noun structure (e.g., get-audience-insights, compare-audience-influencers). The verbs are appropriate and predictable (get, compare, report), and there are no deviations in naming style or convention across the set.
With 8 tools, this server is well-scoped for an audience insights domain. The count is neither too sparse nor bloated, covering core operations like retrieving insights, content, reports, and comparisons without redundancy. Each tool serves a specific, necessary function in the workflow.
The tool set provides comprehensive coverage for analyzing audience insights, including retrieval of reports, insights, content, and comparisons. Minor gaps exist, such as the lack of tools for creating or updating reports or audiences, which might limit full lifecycle management. However, the available tools support most common analysis tasks effectively.