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Fodda Earnings Intelligence

by ai.fodda
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Cross-company earnings trends & executive divergence with citable sources.

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Status
Unhealthy
Uptime
23.7% over 41 days
OAuth
Works in Glama
Last Tested
Transport
Streamable HTTP
URL
Repository
piers-fawkes/fodda-mcp
GitHub Stars
1
Server Listing
Fodda

TDQS

A4.3/5.0

Scored across 13 tools

Disambiguation4/5

Most tools are cleanly separated by domain: graph exploration, ticker-level earnings, cross-company themes, divergence, evidence, visualization, and account management. However, get_earnings_intelligence, get_earnings_divergence, and get_validated_trends occupy overlapping cross-company earnings space and could be confused despite helpful descriptions.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern: get_* for data access, plus list_graphs, search_graph, and generate_visual. The naming is predictable and makes the action and target clear across the entire set.

Tool Count5/5

13 tools is well-scoped for a research platform covering graph discovery, trend evidence, earnings analytics, visualizations, capabilities, and account status. Each tool earns its place and the count is neither bloated nor insufficient.

Completeness4/5

The graph research workflow is complete: list_graphs, search_graph, get_node, get_neighbors, get_label_values, and get_evidence support discovery through deep investigation. Earnings coverage handles per-ticker, cross-company, divergence, and validated trends, though brand_tracker is referenced but not exposed as a tool and some overlap between earnings tools creates minor ambiguity.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • Changedgenerate_visual1 field changed
      • changedInput schema / properties / data / description
        Previous value: -"JSON string containing the chart data. Structure depends on chart_type. cultural_shifts: {shifts:[{from,to}]}. competitive_compass: {brands:[{name,x,y}], axes:{left,right,top,bottom}}. trend_constellation: {trends:[{name,x,y}], connections:[{from,to,strength}]}. implication_ladder: {signal,trend,so_what,do_what}. innovation_pathway: {now,near_term,future}. opportunity_map: {items:[{name,consumer_desire,market_activity}]}"New value: +"JSON string containing chart data. Optional top-level \"focus\":\"Name\" or per-item \"focus\":true highlights key entity in brand accent. cultural_shifts: {shifts:[{from,to}]}. competitive_compass: {brands:[{name,x,y,focus?:boolean}], axes:{left,right,top,bottom}, focus?:string}. trend_constellation: {trends:[{name,x,y,focus?:boolean}], connections:[{from,to,strength}], focus?:string}. implication_ladder: {signal,trend,so_what,do_what}. innovation_pathway: {now,near_term,future}. opportunity_map: {items:[{name,consumer_desire,market_activity,focus?:boolean}], x_label?:string, y_label?:string, focus?:string}"

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