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Access expert-curated knowledge graphs for retail, beauty, sports, and institutional data.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Fodda Knowledge Graphs" MCP server from askskill: Run: claude mcp add 'io-github-piers-fawkes-fodda' -- npx -y fodda-mcp
Retrieve the retail knowledge graph from Fodda Knowledge Graphs and map the relationships between 'running shoes' and upstream brands, common materials, target customer segments, and related accessories. Summarize the results in a table.
A table of retail entity relationships derived from the knowledge graph, plus brief analysis.
Use Fodda Knowledge Graphs to query beauty domain data and list a skincare brand's product lines, key ingredients, suitable skin types, competitor brands, and common marketing themes.
A structured brand knowledge list suitable for research or marketing analysis.
Call Fodda Knowledge Graphs to look up an athletic event's organizations, participating teams, sponsors, related historical events, and public institutional data, then generate a background summary.
A summary of the sports and institutional entity network to quickly understand the context.
Query football knowledge graphs naturally and build searchable graphs from text.
Give AI agents persistent memory, knowledge graphs, recall, and relationship insights.
Access and analyze structured startup datasets with AI-powered skills.
Lets AI agents search, read, and traverse Open Knowledge Format documentation bundles.
Query and understand large codebases with a fast knowledge graph for AI agents.
Access verifiable US public-domain government and scientific data per record.