Topic Research MCP server
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"fodda-topic-research": {
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"url": "https://mcp.fodda.ai/topic-research"
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"mcpServers": {
"fodda-topic-research": {
"type": "http",
"url": "https://mcp.fodda.ai/topic-research"
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"fodda-topic-research": {
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"servers": {
"fodda-topic-research": {
"type": "http",
"url": "https://mcp.fodda.ai/topic-research"
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}{
"mcpServers": {
"fodda-topic-research": {
"type": "http",
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}What it does
Fodda MCP Server provides access to PSFK expert-curated knowledge graphs covering retail, beauty, sports, fashion, and related domains, plus earnings call intelligence and brand tracking. It is aimed at developers and AI agents that need trend data, quantitative statistics, and citable source material from curated industry graphs.
- Search PSFK knowledge graphs for emerging retail or beauty trends with supporting evidence and citations.
- Query earnings call transcripts to extract management commentary, analyst concerns, and detect gaps between questions and executive responses.
- Track a brand across all available knowledge graphs to compile an intelligence profile including trend associations and expert signals.
Tools this server exposes
| Tool | Does |
|---|---|
| list_graphs | Returns available knowledge graphs, their metadata, and routing instructions. |
| search_graph | Runs hybrid keyword and semantic search across curated graphs to find trend clusters and evidence. |
| search_statistics | Searches for quantitative metrics and numeric data points within the knowledge graphs. |
| search_insights | Searches for expert quotes, qualitative signals, and professional interpretations. |
| get_label_values | Returns valid values for a given node label or category. |
| get_neighbors | Traverses from seed nodes to find related concept nodes and their links. |
| get_node | Retrieves detailed metadata and attributes for a single node by ID. |
| get_evidence | Returns source articles, citations, and provenance for a trend or node. |
| discover_adjacent_trends | Finds semantically similar trends to a given trend node. |
| get_domain_intelligence | Searches all PSFK curated domain graphs in parallel across retail, beauty, sports, fashion, consumer electronics, and F&B. |
| get_expert_intelligence | Queries specialist industry graphs built by named strategists and experts. |
| get_report_intelligence | Searches institutional report insights from partner organizations such as DHL and PwC. |
| get_earnings_intelligence | Queries management commentary, guidance, and Q&A from company earnings calls. |
| get_earnings_divergence | Detects gaps and deflections between analyst questions and executive responses in earnings calls. |
| brand_tracker | Compiles a Brand Intelligence Profile for a given brand across all knowledge graphs. |
| brainstorm_topic | Generates a graph-powered brainstorm map discovering connections and adjacent topic areas. |
| deep_research_topic | Launches an autonomous research session combining graph data with live web search. |
| check_research_status | Checks the progress of a deep research job or retrieves its final report. |
| get_supplemental_context | Fetches macro context from up to 10 institutional data sources in a single query. |
| check_supplemental_status | Retrieves the output from a completed supplemental context job. |
| list_analysts | Lists available Synthetic Analyst expert personas. |
| consult_analyst | Engages a Synthetic Analyst persona to synthesize answers in a specialized voice. |
| generate_visual | Generates branded SVG data visualizations such as Cultural Shifts or Competitive Compass charts. |
This entry comes from the registry but points to no public repository, so there is nothing to check: no commit history, no source, no tool list. It is listed for completeness and left out of search engines.
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.