Fodda Knowledge Graphs

Fodda MCP Server

Expert-curated knowledge graphs for AI agents — PSFK Retail, Beauty, Sports and partner datasets via the Model Context Protocol.

---

Quick Start

Claude (Web — Pro, Max, Team, Enterprise)

1. Get your personal MCP URL at app.fodda.ai → Account → MCP Integration (format: https://mcp.fodda.ai/c/<your-token>)
2. In Claude, go to Settings → Connectors → Add custom connector, paste the URL, and click Add
3. Start chatting with your Fodda knowledge graphs

Note: legacy ?api_key= or ?user_id= query string URLs are deprecated and return HTTP 401 with explicit instructions (Fodda: this connection URL is outdated. Get your new MCP URL at https://app.fodda.ai...). Get your fresh MCP URL or connect via OAuth at app.fodda.ai.

Claude Code (CLI — SSE)

claude mcp add --transport sse fodda https://mcp.fodda.ai/sse \
  --header "Authorization: Bearer YOUR_API_KEY"

Claude Enterprise

For Claude Enterprise with admin-managed connectors, your workspace admin can register the Fodda MCP server using the same Streamable HTTP endpoint (https://mcp.fodda.ai/mcp) via the Admin Console. See Enterprise MCP Setup for full details.

OpenAI (Responses API — Recommended)

Use OpenAI's native MCP support — no function definitions needed:

from openai import OpenAI
client = OpenAI()

resp = client.responses.create(
    model="gpt-5",
    tools=[{
        "type": "mcp",
        "server_label": "fodda",
        "server_description": "Expert-curated knowledge graphs for retail, beauty, sports trends and earnings intelligence.",
        "server_url": "https://mcp.fodda.ai/mcp",
        "authorization": "Bearer YOUR_API_KEY",
        "require_approval": "never",
    }],
    input="What are the top emerging retail trends?",
)
print(resp.output_text)

import OpenAI from "openai";
const client = new OpenAI();

const resp = await client.responses.create({
  model: "gpt-5",
  tools: [{
    type: "mcp",
    server_label: "fodda",
    server_description: "Expert-curated knowledge graphs for retail, beauty, sports trends and earnings intelligence.",
    server_url: "https://mcp.fodda.ai/mcp",
    authorization: "Bearer YOUR_API_KEY",
    require_approval: "never",
  }],
  input: "What are the top emerging retail trends?",
});
console.log(resp.output_text);

Tip: To reduce latency with 30+ tools, use allowed_tools to filter: "allowed_tools": ["search_graph", "search_statistics", "brand_tracker"]

Legacy: If you're using chat.completions.create() with function calling, define a custom function that calls the Fodda REST API. See fodda.ai/connect for details.

Generic Streamable HTTP Client

Connect to the /mcp endpoint using HTTP POST (Streamable HTTP) with Authorization: Bearer YOUR_API_KEY:

https://mcp.fodda.ai/mcp

Gemini / Antigravity

Add to ~/.gemini/config/mcp_config.json:

{
  "mcpServers": {
    "fodda": {
      "serverUrl": "https://mcp.fodda.ai/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Generic SSE Client

Connect to https://mcp.fodda.ai/sse with an Authorization: Bearer YOUR_API_KEY header.

---

Available Tools

The Fodda MCP server exposes a rich suite of 30 tools to search, analyze, brainstorm, and visualize trends, expert-curated knowledge graphs, and corporate documents.

Discovery & Search

Tool	Description	Deterministic
list_graphs	Discover available knowledge graphs, metadata, and routing instructions.	✅
search_graph	Hybrid keyword + semantic search across curated graphs for trend clusters and evidence.	❌
search_statistics	Search for specific quantitative metrics, indicators, and numeric data points.	❌
search_insights	Search expert quotes, qualitative signals, and professional interpretations.	❌
get_label_values	Discover valid values for a node label or category.	✅

Traversal & Graph Operations

Tool	Description	Deterministic
get_neighbors	Traverse from seed nodes to discover related concept nodes and links.	✅
get_node	Retrieve detailed metadata, properties, and attributes for a single node by ID.	✅
get_evidence	Retrieve source signals, articles, citations, and provenance for a trend or node.	✅
discover_adjacent_trends	Find semantically similar trends to a given trend node.	✅

Intelligence Domains

Tool	Description	Deterministic
get_domain_intelligence	Search all PSFK curated domain graphs (retail, beauty, sports, fashion, consumer electronics, F&B) in parallel.	❌
get_expert_intelligence	Query specialist industry graphs built by leading strategists and experts.	❌
get_report_intelligence	Search institutional report insights from DHL, PwC, Delta, and other partners.	❌

Earnings & Corporate Insights

Tool	Description	Deterministic
get_earnings_intelligence	Query management commentary, business guidance, and Q&A from company earnings calls.	❌
get_earnings_divergence	Detect deflections, gaps, and divergence between analyst concerns and executive responses in earnings calls.	❌

Brand & Ideation

Tool	Description	Deterministic
brand_tracker	Compile a comprehensive Brand Intelligence Profile across all knowledge graphs.	❌
brainstorm_topic	Graph-powered brainstorm map discovering unexpected connections and adjacent territories.	❌

Deep Research & Execution Agents

Tool	Description	Deterministic
deep_research_topic	Launch an autonomous research session combining graphs with live web search.	❌
check_research_status	Check progress or retrieve the final narrative report of a deep research job.	✅
get_supplemental_context	Fetch macro context from up to 10 institutional data sources in a single query.	❌
check_supplemental_status	Retrieve output from a supplemental context job.	✅

Synthetic Analyst & Visualization

Tool	Description	Deterministic
list_analysts	List available Synthetic Analyst expert personas.	✅
consult_analyst	Engage a Synthetic Analyst persona to synthesize answers with specialized voice.	❌
generate_visual	Generate branded SVG data visualizations (Cultural Shifts, Competitive Compass, Innovation Pathway, etc.).	❌

Note on Dynamic Partner Skills: When partner skills (such as Paralogy or Igloo) are enabled for a user's account, additional specialized tools (e.g. paralogy_analyze_trends, ideation tools) are dynamically registered on the MCP server and made available automatically.

Note on System Utilities: The server also registers several helper and account management utilities (e.g., get_my_account, toggle_graph_preference, update_user_profile, manage_scheduled_reports, send_feedback) to allow the AI assistant to query subscription status, manage scheduled briefings, or save personalization settings directly.

---

Discovery Endpoints

Endpoint	Description
GET /health	Health check ({ "status": "ok", "version": "..." })
POST /mcp	MCP endpoint — call the standard tools/list method on an initialized session to retrieve full tool schemas and capabilities

---

Authentication

Preferred — HTTP header (used by the directory connection and all header-capable clients). Pass your Fodda API key as a Bearer token:

Authorization: Bearer sk_live_...

The server also accepts the key via an X-API-Key: sk_live_... header.

In MCP request _meta:

{ "_meta": { "authorization": "Bearer sk_live_..." } }

Fallback — URL query parameter. Some clients (e.g. the Claude.ai web custom connector UI) cannot set custom request headers. For those, the key may be passed as ?api_key=.... This is provided only for compatibility; prefer header-based auth wherever the client supports it, since URLs are more likely to be logged by intermediaries. The server never returns your API key in tool output.

---

Configuration

Variable	Description	Default
PORT	HTTP server port (omit for stdio mode)	—
FODDA_API_URL	Upstream API base URL	https://api.fodda.ai
FODDA_MCP_SECRET	HMAC signing secret for API requests	—
NODE_ENV	Environment (development / production)	production

---

Build & Run

npm install
npm run build

# Stdio mode
npm start

# SSE mode
PORT=8080 npm start

Self-Hosting

• Docker: docker build -t fodda-mcp . && docker run -p 8080:8080 -e PORT=8080 fodda-mcp
• Cloud Run: ./deploy_cloud_run.sh
• Kubernetes: See deployment/k8s/
• Terraform: See deployment/terraform/

---

MCP Registry

This server is published to the Official MCP Registry as ai.fodda/mcp-server.

# Verify listing
curl "https://registry.modelcontextprotocol.io/v0.1/servers?search=ai.fodda/mcp-server"

---

Privacy Policy

Full policy: https://www.fodda.ai/privacy

Summary of how the Fodda MCP server handles data (the hosted policy is authoritative):

• What we collect. Account information (name, email, organization) to manage your account; usage data — API queries (query text, graph accessed, timestamps) logged for billing, service improvement, and abuse prevention; and standard technical data (IP, browser type, referral URLs). We do not store the full content of AI-generated responses. Your API key authenticates requests and is never returned in tool output.
• How it's used. To provide and improve the Services, process billing, enforce rate limits and prevent abuse, communicate support/service updates, and meet legal obligations. Requests are proxied to the Fodda API (https://api.fodda.ai) over TLS.
• Third-party sharing. We do not sell your personal information. Data is shared only with service providers (e.g. payment processors, cloud hosting) under confidentiality agreements, or when required by law.
• AI model training. Fodda does not use your queries or data to train AI models. Knowledge graphs are expert-curated, not generated from user interactions.
• Retention. Account information is retained while your account is active; query logs are retained for billing and analytics. You may request account/data deletion via the contact below.
• Security. TLS-encrypted connections, API-key authentication, and secure cloud infrastructure.
• Contact. Privacy inquiries: privacy@fodda.ai.

See the full hosted Privacy Policy (last updated June 16, 2026) for the complete, authoritative terms.

---

Support

• Email: hello@fodda.ai
• Account & API keys: app.fodda.ai → Account → MCP Integration
• Documentation: fodda.ai

To report a security issue, email hello@fodda.ai with "SECURITY" in the subject line.

---

License

Proprietary — fodda.ai