Earnings Intelligence MCP server

What it does

Fodda MCP Server exposes curated knowledge graphs covering retail, beauty, sports, fashion, and consumer electronics trends, along with earnings call intelligence, brand tracking, and institutional report insights. It is intended for AI agents and developers who need structured, citable trend data and corporate earnings analysis without building their own data pipelines.

• Query earnings call transcripts to surface gaps between analyst questions and executive responses across multiple companies.
• Search curated industry knowledge graphs for emerging retail or beauty trends with source citations.
• Compile a brand intelligence profile by pulling signals from multiple domain graphs in a single request.

Tools this server exposes

Tool	Does
list_graphs	Returns available knowledge graphs with metadata and routing instructions.
search_graph	Runs a hybrid keyword and semantic search across curated graphs to find trend clusters and supporting evidence.
search_statistics	Searches for quantitative metrics and numeric data points within the knowledge graphs.
search_insights	Retrieves expert quotes, qualitative signals, and professional interpretations from the graphs.
get_label_values	Returns valid values for a given node label or category.
get_neighbors	Traverses from seed nodes to discover related concept nodes and links in the graph.
get_node	Retrieves detailed metadata and properties for a single node by its ID.
get_evidence	Returns source articles, citations, and provenance data for a trend or graph node.
discover_adjacent_trends	Finds semantically similar trends to a given trend node.
get_domain_intelligence	Searches all PSFK curated domain graphs (retail, beauty, sports, fashion, consumer electronics, F&B) in parallel.
get_expert_intelligence	Queries specialist industry graphs built by domain strategists and experts.
get_report_intelligence	Searches institutional report insights from partner organizations such as DHL, PwC, and Delta.
get_earnings_intelligence	Queries management commentary, guidance, and Q&A from company earnings calls.
get_earnings_divergence	Detects gaps and divergence between analyst concerns and executive responses in earnings call transcripts.
brand_tracker	Compiles a brand intelligence profile by pulling signals across all available knowledge graphs.
brainstorm_topic	Generates a brainstorm map that surfaces unexpected connections and adjacent topic areas using graph traversal.
deep_research_topic	Launches an autonomous research session that combines 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 ten 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 a response in a specialized expert voice.
generate_visual	Generates branded SVG data visualizations such as competitive compasses and innovation pathways.

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.