OpenZeppelin Contracts Wizard is an interactive smart contract building tool that allows users to generate contract code based on OpenZeppelin components by selecting contract types, parameters, and functions. It supports multiple programming languages and provides API and embedding functions.

An image generation server based on the MCP protocol, using the Replicate flux-schnell model, supporting image generation through text prompts and configurable with various parameters.

A Google job search MCP server based on SerpAPI, providing multi - language support, flexible search parameters, and intelligent error handling.

This project provides a Google patent search MCP server based on SerpApi, allowing users to query patent information through the MCP protocol and supporting multiple search parameters and filtering conditions.

The Jimeng AI Image Generation MCP Service based on Volcengine provides standardized interfaces to generate high-quality images, supporting multiple ratios and customizable parameters.

An MCP server that allows Claude Desktop to directly call the ChatGPT API, supporting custom parameters and web search functions.

Search-Scrape is a completely free web search and content scraping tool designed for AI assistants, no API key is required, and it supports advanced search parameters and intelligent content extraction.

An MCP server based on the Serper API, providing Google search functionality and an AI in-depth research tool, supporting configurable search parameters, multi-level research depth, and result quality monitoring.

The Gemini MCP Server is a middleware designed for the Claude desktop application, enabling image generation through Google's Gemini AI model. This project provides a convenient installation and configuration wizard, supports Docker containerized deployment, and allows users to customize generation parameters.

The Ideogram MCP Server is an image generation service based on the Ideogram API, providing a variety of customizable image generation parameters, including ratio, model, style, etc.

SearXNG MCP is a model context protocol server based on the SearXNG privacy-protecting metasearch engine, providing web search functionality for AI assistants. It supports zero-configuration use of public instances or connection to private instances, with features such as customizable search parameters, multi-search engine support, and privacy-first.

Superargs is a tool that allows dynamic setting of MCP server parameters at runtime, supporting server configuration updates through chat interaction without initial setup.

A Node.js tool for generating images from text through the fal.ai API and MCP protocol, supporting multiple models and parameters, suitable for developers and creators to quickly generate images.

A SearXNG search integration MCP server designed for n8n workflows, supporting the configuration of search requests via JSON parameters.

An MCP server for Solidity smart contract analysis that provides comprehensive function context analysis capabilities, including the extraction of detailed information such as parameters, visibility, modifiers, and function bodies

A weather query MCP service based on the OpenWeatherMap API, providing global real - time weather and forecasting functions, supporting API key configuration through environment variables or parameters.

A lightweight and extensible API tool server that supports defining and executing API tools through the MCP protocol, providing dynamic HTTP requests, typed parameters, and multiple transmission methods (stdio, sse).

A Google job search MCP server based on SerpAPI, providing multi-language support, flexible search parameters, and smart error handling.

ResearchMCP is a research service based on the MCP protocol, providing internet research functions by integrating the Perplexity AI API, and supporting configurable parameters and structured logs.

An MCP server based on the Tavily API that provides real-time web search functionality for AI models and supports configuration of multiple search parameters.

The Locust-MCP-Server is a load testing server based on the Model Context Protocol framework, supporting seamless running of Locust performance tests through an AI development environment, providing configurable test parameters and real-time execution output.

An image generation MCP server based on the Flux.1 Schnell model, providing high-quality image generation services through Together AI, supporting customizable parameters and standardized interfaces.

An image - generating MCP server based on the FLUX model, providing functions such as text - to - image conversion, batch generation, and custom parameters

Prompt Cleaner is an MCP server based on TypeScript, providing prompt cleaning tools and health check functions. The main functions include sensitive information desensitization, structured output, client-friendly content standardization, support for configuring LLM parameters through environment variables, and following the single model strategy to ensure behavior determinacy.

The WatchBase MCP Server is a middleware service that provides access to the WatchBase data API for querying watch metadata, including brand, collection, model, technical parameters, and other information.

A k6 load testing server implementation based on the Model Context Protocol framework, supporting custom test parameters and real-time output.

The MCP project provides a server running environment based on the uv tool, supporting custom parameters and environment variable configuration.

The MCP Perplexity Server is a server that provides an API interface for asking questions to the model through the Perplexity API. It supports rapid Docker deployment and local Node.js operation, and multiple parameters can be configured.

Next.js MCP Server is a tool for analyzing the routing information of Next.js applications. It can scan the project directory structure, extract detailed information about API routes, including paths, HTTP methods, parameters, status codes, etc., and provides two running modes: command line and Docker.

An example of a time server based on the MCP protocol, providing the function of getting the current time and supporting time zone parameters.

An experimental project that exposes the function of calling Micro services through the MCP Server, supporting the passing of service/endpoint/request parameters via the client.Call request.

GNNEPCSAFT MCP Server is an implementation based on the Model Context Protocol (MCP) for thermodynamic calculations of the GNNePCSAFT tool. It predicts ePC - SAFT parameters through Graph Neural Networks (GNNs), supports the calculation of thermodynamic properties such as density and vapor pressure for pure substances and mixtures, and can automatically obtain molecular data from PubChem.

A TypeScript-based MCP server that integrates the Local Victor API, supports configuration via command-line parameters or environment variables, and provides various business tools.

The Gemini MCP Server project implements the Model Context Protocol (MCP) service, enabling Claude Desktop to interact with Google's Gemini AI model. It provides full MCP protocol support, real - time response streaming, secure API key handling, and configurable model parameters, and is implemented in TypeScript.