# Fodda Synthetic Expert Consult MCP server

Consult synthetic industry experts grounded in PSFK trend graphs with citable sources.

## Links
- Registry page: https://www.getdrio.com/mcp/ai-fodda-expert-consult
- Repository: https://github.com/piers-fawkes/fodda-mcp
- Website: https://www.fodda.ai

## Install
- Endpoint: https://mcp.fodda.ai/expert-consult
- Auth: Auth required by registry metadata

## Setup notes
- Remote header: Authorization (required; secret)
- The upstream registry signals required auth or secrets.
- Remote endpoint: https://mcp.fodda.ai/expert-consult
- Header: Authorization

## Tools
- get_my_account - Check the current user's account status: API call balance, plan, enabled/disabled graphs, and profile info. Use when the user asks "how many API calls do I have?", "what plan am I on?", "what graphs can I access?", or similar account questions. Returns live data — not cached from session start. Endpoint: https://mcp.fodda.ai/expert-consult
- list_graphs - List all knowledge graphs the user can access — IDs, descriptions, authors, sectors, signal counts. Use FIRST in any session to discover available sources before searching. Returns graph metadata needed for graphId parameters in other tools. Deprecated: waldo, psfk (use retail/tech/food/travel/fashion/beauty/sports instead). Endpoint: https://mcp.fodda.ai/expert-consult
- get_capabilities - Returns Fodda's main capabilities / features / offerings / products / services / tools and what they cost. Call this for any question about what Fodda can do or what's available. Endpoint: https://mcp.fodda.ai/expert-consult
- list_analysts - Lists available synthetic analyst personas (e.g. brand-cmo, brand-ceo, brand-cfo). To query a company-specific synthetic expert (e.g., "Nike CMO", "Apple CMO", "Adidas CEO"), consult brand-cmo (or relevant role ID) and supply the target company name in the company parameter (e.g. company: "Nike"). Endpoint: https://mcp.fodda.ai/expert-consult
- search_graph - Find trends, signals, and expert insights across 100+ curated knowledge graphs covering retail, beauty, tech, food, travel, sports, and 30+ specialist domains. Returns trend data with cited evidence, source attribution, and lifecycle stage (emerging/building/mature/fading) — not generic web summaries. If graphId is omitted, searches ALL accessible graphs in parallel (recommended default). Use for market trends, competitor analysis, innovation signals, consumer behavior, cultural shifts, or any topic where curated expert intelligence outperforms web search. Endpoint: https://mcp.fodda.ai/expert-consult
- get_neighbors - Discover what's connected to a specific trend — related brands, technologies, locations, and cross-domain links that search alone wouldn't surface. Returns curated editorial connections between trends that web search cannot provide. Use after search_graph to map the territory around a trend, find which brands are connected, or understand cross-domain relationships. Requires node_id from a prior search_graph result. Endpoint: https://mcp.fodda.ai/expert-consult
- get_evidence - Get the source articles, case studies, and statistics behind a specific trend — with full citations and publisher attribution. Each item includes source URL, location, brand names, publication date, category, and a formatted citation. Use after search_graph when you need the supporting proof behind a trend. This is a direct lookup by trend ID — not a text search tool. Endpoint: https://mcp.fodda.ai/expert-consult
- get_node - Get the full profile of a specific trend — detailed description, lifecycle stage (emerging/building/mature), signal strength, geographic scope, and all properties. Use when you need deeper detail on a single trend after search_graph returned a summary. Requires node_id from a prior search_graph result. Endpoint: https://mcp.fodda.ai/expert-consult
- get_label_values - List all brands, locations, technologies, audiences, or trends within a specific knowledge graph. Use to explore what a graph contains — e.g., "what brands are in the retail graph?" or "what locations does the fashion graph cover?". To get a complete list of every trend in a graph, call with label="Trend" — this returns the full deterministic list, useful for industry-report graphs where search may return partial results. Endpoint: https://mcp.fodda.ai/expert-consult
- generate_visual - Create a presentation-ready data visualization from research findings. Available chart types: "cultural_shifts" (From→To transitions), "competitive_compass" (brands on 2 axes), "trend_constellation" (network of related trends), "implication_ladder" (Signal→Trend→So What→Do What), "innovation_pathway" (Now→Near-Term→Future), "opportunity_map" (2×2 white space analysis). Returns a branded SVG that renders directly in the chat. Endpoint: https://mcp.fodda.ai/expert-consult
- consult_analyst - Consult a named Synthetic Analyst who answers in their expert voice using their curated knowledge graph — one-off questions or multi-turn engagements (pass session_id back to continue). Each analyst has a unique methodology, domain expertise, and analytical lens that produces insights distinct from generic search or standard graph queries. For company-specific executives (e.g. "Nike CMO", "Apple CEO", "Target CFO"), you can pass analyst_id: "brand-cmo" with company: "Nike", or pass analyst_id: "Nike CMO" directly (auto-resolves to analyst_id: "brand-cmo" and company: "Nike"). Call list_analysts first to discover available analyst_id values. Responses may include a coverage status (in/adjacent/out), source attribution, and referrals to other expert graphs. Referrals MUST be presented in third-person platform voice (not the expert's voice) with an offer to query the referred graph. The analyst researches on your behalf: they can search Fodda's graphs, earnings intelligence, and supplemental data mid-consultation, and may refer or consult other analysts. Their research reads bill to you at standard rates ($0.50/call) and are itemized in `sources_used`. Endpoint: https://mcp.fodda.ai/expert-consult
- request_deliverable - Commission a finished document from an analyst — a skill-based deliverable like a marketing plan, deck review, or trend briefing. Specify offering_key (see the `offerings` list on each analyst from list_analysts), a brief (2–5 sentences: audience, goal, constraints), and optional attachments. The analyst researches on your behalf, then produces the document in the background. Returns a job_id — poll with check_deliverable_status until status is "completed" to get the artifact links. The offering price is charged on acceptance; the analyst's research is included, not billed separately. Example brief: "Marketing plan for a DTC skincare launch targeting Gen-Z, $50k budget, 90-day horizon." Endpoint: https://mcp.fodda.ai/expert-consult
- check_deliverable_status - Poll a deliverable commissioned with request_deliverable. Pass the job_id from that response. Returns the current status ("working" | "completed" | "failed") and, once completed, the artifact links to present to the user. Polling is free. Deliverables typically take a few minutes — poll every ~15–30s. Endpoint: https://mcp.fodda.ai/expert-consult

## Resources
- fodda://graph/retail/trend/omnichannel-fulfillment - Curated trend profile for Omnichannel Fulfillment in Retail MIME type: application/json
- fodda://graph/tech/trend/generative-ai-agents - Curated trend profile for AI Agents in Technology MIME type: application/json
- fodda://expert/psfk-research/insight/latest-consumer-signals - Expert insight on latest retail & consumer behavior signals MIME type: application/json

## Prompts
Not captured

## Metadata
- Owner: ai.fodda
- Version: 1.33.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jul 27, 2026
- Source: https://registry.modelcontextprotocol.io