Fodda MCP server
{
"mcpServers": {
"fodda-mcp-server": {
"command": "npx",
"args": [
"-y",
"fodda-mcp@latest"
],
"env": {
"YOUR_API_KEY": "<your_api_key>",
"FODDA_API_URL": "https://...",
"FODDA_MCP_SECRET": "<fodda_mcp_secret>"
}
}
}
}{
"mcpServers": {
"fodda-mcp-server": {
"command": "npx",
"args": [
"-y",
"fodda-mcp@latest"
],
"env": {
"YOUR_API_KEY": "<your_api_key>",
"FODDA_API_URL": "https://...",
"FODDA_MCP_SECRET": "<fodda_mcp_secret>"
}
}
}
}{
"mcpServers": {
"fodda-mcp-server": {
"command": "npx",
"args": [
"-y",
"fodda-mcp@latest"
],
"env": {
"YOUR_API_KEY": "<your_api_key>",
"FODDA_API_URL": "https://...",
"FODDA_MCP_SECRET": "<fodda_mcp_secret>"
}
}
}
}{
"servers": {
"fodda-mcp-server": {
"command": "npx",
"args": [
"-y",
"fodda-mcp@latest"
],
"env": {
"YOUR_API_KEY": "${input:your_api_key}",
"FODDA_API_URL": "${input:fodda_api_url}",
"FODDA_MCP_SECRET": "${input:fodda_mcp_secret}"
}
}
},
"inputs": [
{
"id": "your_api_key",
"type": "promptString",
"description": "Your api key",
"password": true
},
{
"id": "fodda_api_url",
"type": "promptString",
"description": "Fodda api url",
"password": true
},
{
"id": "fodda_mcp_secret",
"type": "promptString",
"description": "Fodda mcp secret",
"password": true
}
]
}{
"mcpServers": {
"fodda-mcp-server": {
"command": "npx",
"args": [
"-y",
"fodda-mcp@latest"
],
"env": {
"YOUR_API_KEY": "<your_api_key>",
"FODDA_API_URL": "https://...",
"FODDA_MCP_SECRET": "<fodda_mcp_secret>"
}
}
}
}file .mcp.json (in your project root)file claude_desktop_config.jsonfile ~/.cursor/mcp.jsonfile .vscode/mcp.jsonfile ~/.codeium/windsurf/mcp_config.jsoninstall npx -y fodda-mcpversion 1.46.31
What it does
Fodda MCP Server provides access to expert-curated knowledge graphs covering retail, beauty, sports, fashion, and other industry domains, along with earnings call intelligence and brand tracking. It exposes 30+ tools for search, graph traversal, research, and visualization, intended for AI agents and developers building applications that need structured trend and market intelligence.
- Query earnings call transcripts to detect gaps between analyst questions and executive responses for a specific company.
- Search curated retail or beauty trend graphs to find quantitative statistics or expert qualitative signals on a topic.
- Launch an autonomous deep research session that combines knowledge graphs with live web search and retrieve a narrative report.
Tools this server exposes
| Tool | Does |
|---|---|
| list_graphs | Returns available knowledge graphs with metadata and routing instructions. |
| search_graph | 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 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 discover related concept nodes and links. |
| get_node | Retrieves detailed metadata and attributes for a single node by ID. |
| get_evidence | Retrieves 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 leading strategists and experts. |
| get_report_intelligence | Searches institutional report insights from partner organizations. |
| get_earnings_intelligence | Queries management commentary, guidance, and Q&A from company earnings calls. |
| get_earnings_divergence | Detects deflections and gaps between analyst concerns 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 unexpected connections and adjacent territories. |
| deep_research_topic | Launches an autonomous research session combining knowledge graphs with live web search. |
| check_research_status | Checks progress or retrieves the final report of a deep research job. |
| get_supplemental_context | Fetches macro context from up to 10 institutional data sources in a single query. |
| check_supplemental_status | Retrieves output from a supplemental context job. |
| list_analysts | Lists available Synthetic Analyst expert personas. |
| consult_analyst | Engages a Synthetic Analyst persona to synthesize answers with a specialized voice. |
| generate_visual | Generates branded SVG data visualizations such as Cultural Shifts, Competitive Compass, and Innovation Pathway 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.