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Fodda Deep Research

by ai.fodda
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Server Details

Autonomous deep research reports merging PSFK trend graphs with citable sources.

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Status
Unhealthy
Uptime
22.4% 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

A4.2/5.0

Scored across 14 tools

Disambiguation4/5

Most tools target clearly distinct steps: graph discovery, search, node/evidence/neighbor retrieval, and status polling. Mild overlap exists between deep_research_topic and get_supplemental_context, and between search_graph and get_label_values, but the descriptions provide explicit usage rules to resolve ambiguity.

Naming Consistency4/5

The vast majority of tools follow a clear verb_noun snake_case pattern: get_node, search_graph, list_graphs, check_research_status. The one clear deviation is deep_research_topic, which reads more like a noun phrase than an imperative action, but it is still readable and consistent in style.

Tool Count5/5

Fourteen tools is well within the ideal range for a research platform of this scope. Each tool earns its place by covering a distinct step in the workflow from graph discovery and deep dives to supplemental data, visualization, and account/capability checks.

Completeness5/5

The tool set covers the full research lifecycle: discover graphs, search trends, retrieve detailed nodes/evidence/neighbors, launch deep or supplemental research with status polling, ingest external URLs, and generate visuals. There are no obvious dead ends for the intended read-only research use case.

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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