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9,129 servers · updated 23 Sept

Deep Research MCP server

community Active last commit 14 d
{
  "mcpServers": {
    "fodda-deep-research": {
      "type": "http",
      "url": "https://mcp.fodda.ai/deep-research"
    }
  }
}
file .mcp.json (in your project root)version 1.46.31

What it does

Fodda MCP Server exposes PSFK-curated knowledge graphs covering retail, beauty, sports, fashion, and related domains, along with earnings intelligence and deep research capabilities. It is aimed at developers and AI agents that need structured trend data, brand tracking, and corporate earnings analysis via the Model Context Protocol.

  • Run an autonomous deep research session that combines PSFK trend graphs with live web search to produce a citable narrative report on a given topic.
  • Query management commentary and analyst Q&A from company earnings calls to detect gaps between executive responses and analyst concerns.
  • Track how a specific brand appears across all available knowledge graphs to compile a comprehensive brand intelligence profile.

Tools this server exposes

ToolDoes
list_graphsReturns metadata and routing instructions for all available knowledge graphs.
search_graphRuns a hybrid keyword and semantic search across curated graphs to surface trend clusters and evidence.
search_statisticsSearches for quantitative metrics and numeric data points within the knowledge graphs.
search_insightsRetrieves expert quotes, qualitative signals, and professional interpretations from the graphs.
get_label_valuesReturns valid values for a given node label or category in the graph.
get_neighborsTraverses from seed nodes to discover related concept nodes and their links.
get_nodeRetrieves detailed metadata and properties for a single node by its ID.
get_evidenceRetrieves source articles, citations, and provenance for a trend or node.
discover_adjacent_trendsFinds semantically similar trends to a given trend node.
get_domain_intelligenceSearches all PSFK curated domain graphs in parallel across retail, beauty, sports, fashion, consumer electronics, and F&B.
get_expert_intelligenceQueries specialist industry graphs built by external strategists and experts.
get_report_intelligenceSearches institutional report insights from partner organizations such as DHL, PwC, and Delta.
get_earnings_intelligenceQueries management commentary, business guidance, and Q&A transcripts from company earnings calls.
get_earnings_divergenceDetects deflections and gaps between analyst concerns and executive responses in earnings calls.
brand_trackerCompiles a Brand Intelligence Profile for a given brand across all knowledge graphs.
brainstorm_topicGenerates a graph-powered brainstorm map that surfaces unexpected connections and adjacent topic areas.
deep_research_topicLaunches an autonomous research session combining knowledge graphs with live web search.
check_research_statusChecks the progress of a deep research job or retrieves its final narrative report.
get_supplemental_contextFetches macro context from up to ten institutional data sources in a single query.
check_supplemental_statusRetrieves the output from a completed supplemental context job.
list_analystsLists the available Synthetic Analyst expert personas.
consult_analystEngages a Synthetic Analyst persona to synthesize a response in a specialized expert voice.
generate_visualGenerates branded SVG data visualizations such as Cultural Shifts, Competitive Compass, and Innovation Pathway charts.

Before you enable it

An MCP server runs with whatever access you give it. Start with a development account rather than production, and check which tools the server exposes before you let an agent call them unattended.