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Open Source MCP Servers for Scientific Research
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MCP server for integration of ScopeGreen API with LLMs
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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.
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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.
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使用Java Spring框架的MCP使用实验
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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.
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Future location for a deployable MCP server to turn internal databases, APIs, and more services into MCP tools for internal LLM apps.
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알고리즘 MCP를 구현해보자
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A MCP Server used to collect MCP Servers over the internet.
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The MCP server is used for the Curio project of Filecoin ecosystem.
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Discover and share Model Context Protocol Servers for AI applications, development, and integration.
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Enables AI systems to remember interactions, understand document context through semantic search, and intelligently route requests with persistent memory and quality-scored content synthesis.
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MCP server for AI chat
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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.
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MCP Server for Google Analytics 4
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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.
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Enhanced MCP server for Google Gemini 2.5 Pro Preview with 16 powerful tools. Compatible with Claude Desktop.
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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.
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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.
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🧠 The Core of Your AI Agents\\r\\nMulti-agent orchestration MCP server with 10 tools for agent coordination. Features:\\r\\n• Persistent memory via local .brain/ folder\\r\\n• Event ledger for agent communication\\r\\n• State management for sprint tracking\\r\\n• Artifact storage for agent outputs\\r\\n• Neural triggers for automated routing\\r\\nWorks with Claude Desktop. Your data stays local.\\r\\npip install mcp-server-nucleus