Fodda MCP
Fodda MCP Server is an AI knowledge graph service based on the Model Context Protocol (MCP), providing expert knowledge graphs from fields such as PSFK retail, beauty, and sports for AI agents to perform operations such as search, traversal, and evidence retrieval.
2 points
5.1K

What is Fodda MCP Server?

Fodda MCP Server is a knowledge graph service interface specifically designed for AI agents. Through the Model Context Protocol (MCP) standard, it enables AI assistants to access and query professionally curated industry knowledge graphs, including high - quality datasets such as PSFK retail trends, beauty industry insights, and sports data analysis.

How to use Fodda MCP Server?

Using Fodda MCP Server is very simple: First, obtain an API key. Then, connect to the server through supported AI platforms (such as Claude, OpenAI, Gemini). Finally, use the provided tools for knowledge query and exploration. Multiple connection methods are supported, including SSE streaming and standard HTTP interfaces.

Use cases

Fodda MCP Server is particularly suitable for AI application scenarios that require industry - specific knowledge, such as market trend analysis, competitor research, product innovation inspiration, industry report generation, and strategic planning support. Whether you are a corporate analyst, product manager, or researcher, you can gain valuable industry insights from it.

Main Features

Intelligent Graph Search
Combine keyword and semantic search to quickly find relevant concepts and trends in the knowledge graph. Support fuzzy matching and relevance sorting to help users discover hidden industry associations.
Graph Relationship Exploration
Start from a specific node to explore related concepts, trends, and association relationships. Support multi - level relationship mining to help build a complete industry knowledge network.
Evidence Tracing
Provide source evidence for each knowledge node, including original signals, relevant articles, and credibility proofs. Ensure that the information obtained by AI is well - documented.
Structured Industry Overview
Provide a macro - trend overview across industries and departments to help users quickly understand the overall market landscape and key development trends.
Multi - platform Compatibility
Support multiple AI platforms such as Claude, OpenAI, and Gemini, and provide two connection methods, SSE and HTTP, to ensure flexible integration.
Advantages
Professionally curated datasets: High - quality knowledge graphs organized by industry experts
Real - time industry insights: Cover the latest market trends and innovation dynamics
Structured knowledge: Transform unstructured information into an easily queryable graph structure
Multi - industry coverage: Multiple vertical fields such as retail, beauty, and sports
Easy integration: Standard MCP protocol, seamless docking with mainstream AI platforms
Limitations
Requires an API key: Commercial use requires a subscription service
Specific industry focus: Mainly covers limited fields such as retail, beauty, and sports
Query complexity: Requires an understanding of the basic concepts of graph queries
Data update frequency: Some datasets may not be updated in real - time
Network dependency: Requires a stable network connection

How to Use

Obtain an API Key
Visit the Fodda official website to register an account and obtain an API key. The key format usually starts with 'fk_live_'.
Select a Connection Method
Select an appropriate connection method according to the AI platform you are using: Use SSE for Claude, HTTP for OpenAI, and MCP configuration for Gemini.
Configure Connection Parameters
Add the Fodda MCP Server address and authentication information to the AI platform configuration. Ensure that the correct Authorization header is included.
Start Querying
Use the provided tools for knowledge query. You need to specify the user ID and graph ID (except for the psfk_overview tool).

Usage Examples

Market Trend Analysis
Product managers need to understand the latest consumption trends in the retail industry to provide directions for new product development.
Competitor Research
Market analysts need to understand the innovation strategies and technology applications of competitors in the beauty industry.
Industry Report Generation
Consultants need to quickly generate an annual trend report for the sports industry.

Frequently Asked Questions

Is Fodda MCP Server free?
Which AI platforms are supported?
What is the data update frequency?
How to obtain an API key?
Can I self - host the server?

Related Resources

Official Documentation
Complete API documentation, usage guides, and best practices
GitHub Repository
Source code, issue tracking, and contribution guidelines
MCP Registry
List in the official MCP registry
Quick Start Video
5 - minute quick start tutorial
Community Forum
User communication, problem discussion, and feature suggestions

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
7.9K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
6.3K
4.5 points
P
Paperbanana
Python
7.9K
5 points
F
Finlab Ai
FinLab AI is a quantitative financial analysis platform that helps users discover excess returns (alpha) in investment strategies through AI technology. It provides a rich dataset, backtesting framework, and strategy examples, supporting automated installation and integration into mainstream AI programming assistants.
7.3K
4 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
6.7K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
9.5K
5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
9.5K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.7K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.1K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
36.1K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
73.9K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
33.0K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.8K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.2K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
98.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase