An MCP server that provides semantic search capabilities by integrating with an OpenSearch-based search service. It enables users to perform complex document searches across multiple indices with support for advanced filtering and robust error handling.
A unified Model Context Protocol server that integrates multiple search providers including Brave, Tavily, Exa, Semantic Scholar, and arXiv. It enables users to perform web, news, and image searches alongside academic research and citation analysis through a single interface.
使用Java Spring框架的MCP使用实验
A multi-model platform that integrates RAG (Retrieval-Augmented Generation) with LLMs, supporting OCR via Tesseract and offering both backend API and frontend web interface.
Future location for a deployable MCP server to turn internal databases, APIs, and more services into MCP tools for internal LLM apps.
A Flask-based server that implements Model Context Protocol to enhance LLMs with external tool capabilities via natural language, allowing tools like weather lookup and calculations to be invoked directly in the model's text output.
알고리즘 MCP를 구현해보자
A minimal, well-documented MCP server boilerplate providing a reusable baseline with tools, resources, prompts, and extensive documentation for building custom MCP servers.
Enables generation of 25+ types of charts and data visualizations using AntV, including bar charts, line charts, maps, mind maps, and specialized diagrams like fishbone and sankey charts. Supports both statistical charts and geographic visualizations for comprehensive data analysis and presentation.
A MCP Server used to collect MCP Servers over the internet.
The MCP server is used for the Curio project of Filecoin ecosystem.
Enables AI systems to remember interactions, understand document context through semantic search, and intelligently route requests with persistent memory and quality-scored content synthesis.
MCP server for AI chat
Enables Claude to interact with Asana workspaces, tasks and projects through the Asana API, allowing users to search, create, update, and manage Asana tasks and projects using natural language.
MCP Server for Google Analytics 4
A Model Context Protocol server that enables Claude Desktop and other MCP-compatible clients to leverage Google's Gemini AI models with features like thinking models, Google Search grounding, JSON mode, and vision support.
Enhanced MCP server for Google Gemini 2.5 Pro Preview with 16 powerful tools. Compatible with Claude Desktop.
Look up IP address geolocation, network information, detect proxies and VPNs, and find abuse contact details using IPLocate.io
This template provides a streamlined foundation for building Model Context Protocol (MCP) servers in Python. It's designed to make AI-assisted development of MCP tools easier and more efficient.
Enables chat with multiple LLM providers (OpenAI and Anthropic) while maintaining persistent conversation memory. Provides extensible tool framework for various operations including echo functionality and conversation storage/retrieval.
