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MCP server exposing AIMarket's verifiable oracle capabilities (Platon VRF, Chronos VDF, LUMEN reputation) as agent-callable tools with pay-per-call.

Score brand names across domain availability, USPTO trademark conflict, social handle availability (12+ platforms), SEO strength, and AI findability (GEO) in a single call. Pay-per-call via the x402 micropayment protocol (USDC on Base + Solana) — no signup, no API keys.

Search through Claude Code conversations across all projects using natural language queries. Find lost discussions, retrieve conversation context, and get resume commands to continue previous work. Uses SQLite FTS5 for full-text search with support for filtering by date, project, and content type.

Enables users to search and retrieve cupcake order records through natural language queries. Provides search functionality across order details and fetches complete order information by ID.

IETF Datatracker RFCs / drafts / working groups / people

Provides read-only tools for discovering, analyzing, and monitoring Hyperliquid HIP-4 prediction markets (outcome trading) on testnet.

A supply-side operations diagnostic MCP server for bid rate analysis, IVT detection, and ads.txt compliance.

Enables access to Paraguay's government procurement and public contracts data, keyless.

Provides Brazilian financial market data including stock prices, fundamentals, dividends, FIIs, and macro indicators to AI assistants.

MCP server that helps AI assistants automatically find, filter, and rank the best AI models for a specific task using the OpenRouter API.

Enables mahjong score calculation from Claude by inputting tile configurations, including dora indicators and game state parameters.

This nutrition analysis MCP server by sunilpowar5 provides food image recognition and nutritional data retrieval through Google's Gemini AI and the Nutritionix API, featuring a LangGraph-powered workflow that identifies food items from uploaded images and fetches detailed calorie and protein information. Built with FastAPI backend serving nutrition_fetch and wiki_search tools, and a Streamlit frontend for interactive image upload and follow-up questions, it uses Google Generative AI for food identification with quantity estimation and integrates Wikipedia search for additional nutritional context. The implementation leverages LangGraph's state management for conversational workflows, supports both initial image analysis and follow-up queries about nutrition facts, and includes comprehensive error handling with retry mechanisms, making it valuable for health-conscious users tracking dietary intake, nutritionists analyzing meal compositions, and fitness applications requiring automated food logging capabilities.

Provide access to Iconify's MCP server with over 200,000 open-source vector ICONS, supporting icon set browsing, searching, and obtaining multi-framework usage examples.

Sovereign, MIT-licensed MCP server wrapping the fallimmig-sdk for professional-service workflow automation, featuring Ed25519-signed transactions and offline-capable operation.

BookLab MCP Server — curated nonfiction book recommendations for AI agents. 21 books, 5 tools, affiliate links. First book-focused MCP server.

Provides comprehensive financial data from Yahoo Finance, enabling retrieval of stock prices, company information, financial statements, options data, analyst recommendations, and market news through natural language queries.

Enables AI assistants to check domain availability in real-time during brand naming conversations, using DNS and WHOIS queries to suggest available domains for brainstormed names.

Comprehensive management of Trendyol marketplace via API v2.0.

Enables AI agents to discover models, pricing, and chat completions through RouterBase, an API gateway for 200+ AI models.

MCP-Sonic-Pi provides a bridge between AI assistants and the Sonic Pi music programming environment, enabling the creation and control of musical compositions through code. The server exposes tools to initialize connections with Sonic Pi, play music using Ruby code, stop playback, and access pre-defined beat patterns for various musical styles. Built by Vinayak Mehta, this implementation checks if Sonic Pi is running locally, communicates via OSC protocol using the psonic library, and is particularly useful for music creation, education, and live coding scenarios where AI assistants can help generate and manipulate musical elements programmatically.