Fodda Earnings Intelligence MCP Server

by fodda Your server? Claim it

answering

Fodda Earnings Intelligence is answering right now. Last checked 8 min ago. It exposes 13 tools. Last commit 18 Sep 2026.

Cross-company earnings trends & executive divergence with citable sources.

Uptime history 47 days of history · worst day 92%

47 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

282 ms

Response time

average over 24h

Stars

last commit 18 Sep 2026

What changed 44

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 7 tool descriptions were rewritten get_capabilities, get_company_earnings, get_earnings_divergence and 4 more

23 Aug a tool changed version2 times that day

22 Aug a tool changed version10 times that day

21 Aug a tool changed version3 times that day

and 24 more, back to 10 August 2026

Nothing serious here today

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

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add earnings-intelligence --transport http https://mcp.fodda.ai/earnings-intelligence

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "earnings-intelligence": {
      "url": "https://mcp.fodda.ai/earnings-intelligence"
    }
  }
}

~/.codex/config.toml

[mcp_servers.earnings-intelligence]
url = "https://mcp.fodda.ai/earnings-intelligence"

.cursor/mcp.json

{
  "mcpServers": {
    "earnings-intelligence": {
      "url": "https://mcp.fodda.ai/earnings-intelligence"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "earnings-intelligence": {
      "url": "https://mcp.fodda.ai/earnings-intelligence"
    }
  }
}

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 13

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

earnings

get_earnings_divergence

Cross-company analyst-management divergence detection from the knowledge graph (legacy-thematic). Surfaces where executives are deflecting, reframing, or avoiding specific topics — the gap between what analysts press on and how management responds. Use for "where are executives deflecting?" or "divergence in [sector] earnings." For per-ticker deflection signals, use get_company_earnings with view=qa and filter by response_directness.

get_earnings_intelligence

Cross-company thematic earnings intelligence from the knowledge graph and web sources. Use for multi-company comparisons ("what are hotel companies saying about labor costs?"), industry-level queries, or sector filters. For single-brand earnings, brand_tracker includes earnings automatically. For per-ticker structured analysis (analyst concerns, activity breakdown, validated consumer trends), use get_company_earnings instead — it reads the canonical truth layer. Results may include "knowledge_graph" or "web_supplemental" provenance.

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.

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.

company

get_company_earnings

The canonical per-ticker earnings source. Returns the full truth-layer record for covered tickers (517 consumer-sector companies) — analyst concerns, sentiment labels, strategic activity (marketing/retail/technology/sustainability), CEO intelligence, and validated consumer trends from Fodda's quarterly analysis pipeline. Falls back to web-backfill for uncovered tickers. Use this for company-specific data. Use get_earnings_intelligence for cross-company thematic comparisons.

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.

validated

get_validated_trends

Returns market-validated consumer trends from corporate earnings reports cross-validated by Fodda's analysis pipeline. Connects earnings commentary (analyst concerns, CEO statements) with consumer trend signals.

Endpoints

URL	Transport	State	Latency	Checked
https://mcp.fodda.ai/earnings-intelligence	streamable-http	sign-in	434 ms	8 min ago

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Fodda Earnings Intelligence — questions

Answers built from our own checks of this server.

What can Fodda Earnings Intelligence do?

It exposes 13 tools, read directly from the server on our last check. Among them: generate_visual, get_capabilities, get_company_earnings, get_earnings_divergence, get_earnings_intelligence, get_evidence and 7 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 Earnings Intelligence 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 282 ms. The bar chart above shows every period we have measured.

How do I connect Fodda Earnings Intelligence?

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 Earnings Intelligence?

No API key is involved. Fodda Earnings Intelligence 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 Earnings Intelligence?

It answers our handshake in 282 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 Earnings Intelligence 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.