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Code Reasoning
Enhances Claude's ability to solve complex programming tasks by enabling structured, step-by-step reasoning.
Lark OpenAPI
Enables AI Agents to efficiently collaborate with Feishu/Lark by encapsulating Open Platform API interfaces.
Server Commands
Enables Large Language Models to execute operating system commands and scripts.
Foundry
Enables LLM assistants to interact with the Foundry ecosystem for Solidity development and blockchain analysis.
Reddit Content
Fetches and analyzes content from Reddit, providing access to hot threads and post details.
Mcp Chatbot
Enables chatbot interaction with external tools via Model Context Protocol (MCP) servers.
Quick-Start Auto
Simplifies the process of integrating Anthropic's Model Context Protocol (MCP) into Claude Desktop and Cursor for enhanced functionality.
Spring AI
Enables Java and Spring applications to interact with AI models and tools through the Model Context Protocol.
Prometheus
Enables AI assistants to query and analyze Prometheus metrics through standardized Model Context Protocol (MCP) interfaces.
TaskManager
Enables Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Paper Search
Searches and downloads academic papers from multiple sources like arXiv, PubMed, and bioRxiv.
Calculator
Extends AI capabilities by providing a powerful interface for remote control, calculations, email operations, and knowledge search.
Documentation
Manages and semantically searches documents using AI embeddings, bridging knowledge gaps for various content types.
Easy
Simplifies the creation of Model Context Protocol (MCP) servers in TypeScript.
Code Executor
Executes Python code from LLM prompts within a specified Conda environment.
OpenAI Gemini Llama Example
Demonstrates building an AI agent using the Model Context Protocol (MCP) with open LLMs like Meta Llama 3, OpenAI, or Google Gemini, and a SQLite database.
LiteMCP
Builds Model Context Protocol (MCP) servers elegantly using a TypeScript framework.
Compass
Enables AI assistants to discover and utilize Model Context Protocol (MCP) services based on natural language queries.
Azure AI Agent Service
Integrates with Azure AI Foundry to connect to existing Azure AI Agents, leveraging models and knowledge tools.
Proxy
Proxies Model Context Protocol (MCP) servers that use stdio transport via a TypeScript SSE proxy.
MongoDB Lens
Provides a local Model Context Protocol (MCP) server for interacting with MongoDB databases using natural language queries.
Rag Web Browser
Enables AI agents and LLMs to interact with the web and extract information from web pages via the RAG Web Browser Actor.
Tinystruct
Empowers developers to create robust, efficient, and scalable web and CLI applications using a lightweight, modular Java framework with AI integration.
Context Generator
Generates context files from code, repositories, and web pages for AI language models.
Mindmap
Converts Markdown content into interactive mindmaps.
SearXNG
Integrates the SearXNG API to provide web search capabilities within an MCP environment.
Maigret
Facilitates open-source intelligence by collecting user account information from various public sources.
Gdrive
Enables reading and writing to Google Drive files and Google Sheets via the Model Context Protocol.
Memento
Provides LLMs with a scalable knowledge graph memory system, enabling semantic retrieval, contextual recall, and temporal awareness.
Flutter Inspector
Connect Flutter applications with AI coding assistants via the Model Context Protocol.
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