me-mcp)** (by gitmotion) - An ntfy MCP server for sending/fetching ntfy notifications to your self-hosted ntfy server from AI Agents 📤 (supports secure token auth & more - use with npx or docker!)

Milvus-based MCP enables LLMs to access Milvus vectors and collections through the MCP, delivering text search, vector search, and collection management with simple deployment, flexible configuration, and support for standard running modes across local and web-based clients.

Private browser tooling that enables AI to monitor logs, run audits, and interact through an IDE extension.

VSCode-integrated solution exposing language features over HTTP for AI assistants to navigate, analyze, and refactor code.

Summarizes chat conversations with AI prompts via a queryable interface, featuring local database integration and Claude Desktop workflow.

Query and Summarize chat messages with LLM. by mcpso

Automates API and MCP server creation from database schemas using LLMs, with PII protection, RLS, and multi-provider AI support.

Access and editing data to your Google Sheets.

Deprecated integration enabling multi-language security scanning via stdio or streaming transport with Semgrep rules.

TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically.

Robust MCP server enabling Docker container creation, compose deployment, and logs via Claude AI integration.

Token-efficient access to local or remote OpenAPI/Swagger specs via MCP Resources.

High-performance, multi-format data extractor delivering code intelligence, OCR, and structured output across 91+ formats.

A Model Context Protocol server that provides AI assistants with accurate, real-time information about NixOS packages, system options, Home Manager settings, and nix-darwin macOS configurations.

Unified middleware gateway that aggregates multiple endpoints into a single configurable meta endpoint, with pluggable middlewares and OpenAPI exposure.

Specification and documentation for the Model Context Protocol

Local-first knowledge graph built from Markdown notes, enabling persistent memory across conversations with LLMs.

Python framework for building autonomous and traditional agents with MCP tool integration, OCR support, prebuilt agents, and sandboxed execution.

53AI Hub is an open-source AI portal, which enables you to quickly build a operational-level AI portal to launch and operate AI agents, prompts, and AI tools. It supports seamless integration with development platforms like Coze, Dify, FastGPT, RAGFlow.

Adaptive deception runtime with LLM-powered decoys across multiple protocols, enabling prompt-injection detection and rich threat intel collection.

Unified access to shadcn/ui v4 components across React, Svelte, Vue, and React Native with ready-made demos, blocks, and rich metadata to accelerate AI-driven UI prototyping and multi-framework learning.

Fast, token-efficient web content extraction that converts websites to clean Markdown. Features Mozilla Readability, smart caching, polite crawling with robots.txt support, and concurrent fetching with minimal dependencies.

Enterprise AI assistant platform enabling multi-agent collaboration, RAG-powered knowledge, and visual workflow orchestration with tool integrations.

Sleek MCP client with local knowledge base, RAG-ready vectors, prompts library, and seamless MCPSvr tool integrations.