"Simple Icons" matching MCP servers:

lucide-icons-mcp

heroicons-mcp is a Model Context Protocol (MCP) server that exposes Heroicons. It allows LLMs and agentic applications to search, list, and generate usage examples of icons in React applications.

This server allows users to perform web searches using Perplexity AI, providing a tool for retrieving search results through a simple API interface.

An MCP server that enables AI models to retrieve information from Ragie's knowledge base through a simple 'retrieve' tool.

A Claude integration tool that enables users to query and analyze Aliyun (Alibaba Cloud) Simple Log Service logs through natural language commands.

A simple MCP server that implements a note storage system with RAG capabilities, allowing users to store notes and generate summaries of stored content.

Provides AI coding agents with persistent memory by recording sessions and normalizing them into a searchable knowledge graph, then delivering relevant context at the start of the next session.

A simple temporary MCP server for RAGFlow that bridges the gap until an official version is released.

A simple MCP server for local documentation with RAG capabilities, enabling AI assistants to access and search local documents.

This MCP server enables any MCP client to perform web searches over HTTP using just an endpoint URL and API key, abstracting away AWS SigV4 signing and Bedrock AgentCore protocol translation entirely server-side.

Self-hosted knowledge manager and MCP server that lets you organize snippets, questions, and documents via a web UI and exposes them to AI assistants for reading and writing.

Enables Claude Desktop to search custom knowledge bases using retrieval-augmented generation via a simple MCP tool.

A simple Model Context Protocol (MCP) server with ChromaDB integration, allowing AI assistants to interact with ChromaDB for vector storage and retrieval operations.

A template project for building custom MCP servers that enables direct access to PostgreSQL databases, allowing SQL query execution and schema information retrieval through the Model Context Protocol.

An MCP server that extends AI agents' context window by providing tools to store, retrieve, and search memories, allowing agents to maintain history and context across long interactions.

Enables LLMs to store, search, and manage memories with hybrid semantic and keyword search using ChromaDB and Neo4j for persistent memory and knowledge graph capabilities.

A simple application demonstrating Model Context Protocol (MCP) integration with FastAPI and Streamlit, allowing users to interact with LLMs through a clean interface.

A simple Model Context Protocol server that enables searching and retrieving relevant documentation snippets from Langchain, Llama Index, and OpenAI official documentation.

A stateless Model Context Protocol server that implements a simple echo functionality with resource, tool, and prompt components, enabling LLMs to echo back messages through standardized MCP interactions.

A Model Context Protocol server that enables AI assistants to analyze images using OpenRouter vision models through a simple interface.