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Fodda Synthetic Expert Consult MCP Server

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Fodda Synthetic Expert Consult is answering right now. Last checked 4 min ago. It exposes 14 tools. Last commit 18 Sep 2026.

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

Uptime history 47 days of history · worst day 93%
47 days agonow
100.0%
Uptime 24h
92 of 92 checks
14
Tools
read from the server
280 ms
Response time
average over 24h
1
Stars
last commit 18 Sep 2026

What changed 48

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 10 August 2026. No other catalogue keeps this.

1 Sep a tool changed version6 times that day
1 Sep a tool description was rewritten generate_visual
1 Sep a tool changed the parameters it asks for generate_visual
28 Aug a tool changed version
24 Aug 5 tools changed the parameters they ask for get_evidence, get_label_values, get_neighbors and 2 more
24 Aug a tool changed version2 times that day
23 Aug 4 tool descriptions were rewritten get_capabilities, get_evidence, request_deliverable and 1 more
23 Aug a tool changed version2 times that day
22 Aug a tool changed version10 times that day
22 Aug 3 tools changed the parameters they ask for consult_analyst, consult_human_agent, request_deliverable
and 29 more, back to 10 August 2026

Nothing serious here today

Today is the operative word: we check Fodda Synthetic Expert Consult every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 4 min ago.

run in your terminal
claude mcp add expert-consult --transport http https://mcp.fodda.ai/expert-consult
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "expert-consult": {
      "url": "https://mcp.fodda.ai/expert-consult"
    }
  }
}
~/.codex/config.toml
[mcp_servers.expert-consult]
url = "https://mcp.fodda.ai/expert-consult"
.cursor/mcp.json
{
  "mcpServers": {
    "expert-consult": {
      "url": "https://mcp.fodda.ai/expert-consult"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "expert-consult": {
      "url": "https://mcp.fodda.ai/expert-consult"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Available tools 14

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

consult
consult_analyst
Consult a named Synthetic Analyst expert who answers in their expert voice using their curated knowledge graph — one-off questions or multi-turn engagements (pass session_id back to continue). Synthetic analyst experts have 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 find the right expert ID. 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.
consult_human_agent
Consult an authorized Human Agent (Digital Twin) expert created directly with the named expert's consent, participation, and curated knowledge graph. The expert answers in their voice — one-off questions or multi-turn engagements (pass session_id back to continue). Each human agent has a unique methodology, domain expertise, and analytical lens distinct from generic search or standard graph queries. Call list_analysts first to find the right expert ID. 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. Response may include `book_a_call` (URL + a pre-written booking sentence shown verbatim) for booking time with the real person — surface it when the user wants to hire or speak to the expert.
account
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.
analysts
list_analysts
Lists available human agents and synthetic analysts (e.g. brand-cmo, brand-ceo, brand-cfo, human experts like Anu Lingala). 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").
capabilities
get_capabilities
Returns Fodda's main capabilities / features / offerings / products / services / tools and how to use them. Call this for any question about what Fodda can do or what's available.
deliverable
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.
evidence
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.
generate
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. Highlight focal entity using top-level "focus":"Name" or per-item "focus":true.
graph
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.
graphs
list_graphs
List all expert knowledge graphs the user can access — IDs, descriptions, authors, sectors, signal counts, and topic coverage (e.g. retail, tech, food, travel, fashion, beauty, sports). Use FIRST in any session to discover available sources before searching. Returns graph metadata needed for graphId parameters in other tools.
label
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.
neighbors
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.
node
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.
request
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."

Endpoints

URLTransportStateLatencyChecked
https://mcp.fodda.ai/expert-consult streamable-http sign-in 201 ms 4 min ago

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Fodda Synthetic Expert Consult — questions

Answers built from our own checks of this server.

What can Fodda Synthetic Expert Consult do?
It exposes 14 tools, read directly from the server on our last check. Among them: check_deliverable_status, consult_analyst, consult_human_agent, generate_visual, get_capabilities, get_evidence and 8 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Fodda Synthetic Expert Consult working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 280 ms. The bar chart above shows every period we have measured.
How do I connect Fodda Synthetic Expert Consult?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to Fodda Synthetic Expert Consult?
No API key is involved. Fodda Synthetic Expert Consult answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is Fodda Synthetic Expert Consult?
It answers our handshake in 280 ms on average, which is faster than 53% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Fodda Synthetic Expert Consult open source?
We cannot say either way: written in TypeScript and 1 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.