Mcp AI Agent Skills

Longbridge MCP Server Official MCP server for the Longbridge brokerage. 145 tools across real-time quotes, options, order routing, fundamentals, analyst ratings, calendars, IPO, price alerts, DCA plans, portfolio analytics and community sharelists — covering US and HK markets. Built with Rust using rmcp and axum. - 145 MCP tools across 13 categories: quotes, trading, fundamentals, screener, market

Publish the package to npmjs by bumping version, building, and creating a GitHub release

A Model Context Protocol (MCP) server implementation for DuckDB, providing database interaction capabilities through MCP tools. It would be interesting to have LLM analyze it. DuckDB is suitable for local analysis. This server enables interaction with a DuckDB database through the Model Context Protocol, allowing for database operations like querying, table creation, and schema inspection. Current

A lightweight Node MCP server around the kagi-ken package, providing access to Kagi.com services using Kagi session tokens: - Search: Searches Kagi - Summarizer: Uses Kagi's Summarizer to create summaries from URLs or text content Unlike the official Kagi API which requires API access, this MCP server uses your existing Kagi session to access both search and summarization features. "Kagi-ken" is a

English | 日本語 mcp-alphabanana is a Model Context Protocol (MCP) server for generating image assets with Google Gemini. It is built for MCP-compatible clients and agent workflows that need fast image generation, transparent outputs, reference-image guidance, and flexible delivery formats. Keywords: MCP server, Model Context Protocol, Gemini AI, image generation, FastMCP Key capabilities: - Ultra-fa

An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need. - OpenAI API Key: Required for generating embeddings (local embedding support planned) - Git: Must be a git repository (respec

A comprehensive Model Context Protocol (MCP) server that provides Claude Desktop and other MCP clients with tools for Kafka Schema Registry operations. Features advanced schema context support, multi-registry management, and comprehensive schema export capabilities. Latest Version: v2.1.5 | Docker: aywengo/kafka-schema-reg-mcp:stable - 🚀 Quick Start - ✨ Key Features - 🛠️ Claude Code Skills - 📦

A Model Context Protocol server that provides access to your iTerm session. Efficient Token Use: iterm-mcp gives the model the ability to inspect only the output that the model is interested in. The model typically only wants to see the last few lines of output even for long running commands. Natural Integration: You share iTerm with the model. You can ask questions about what's on the screen, or

A Go MCP server for D&D campaign state management, dice rolling, and session memory. - Serves a Model Context Protocol (MCP) toolset over stdio or streamable HTTP. - Stores campaign data in per-campaign SQLite databases. - Tracks characters, plot events/hooks, world flags, roll history, checkpoints, and session summaries. - Generates session briefs and markdown recaps for fast DM context restorati

MCP (Model Context Protocol) server for the Voxie AI Phone Number Directory. Allows AI assistants to query information about AI services and get webchat URLs to interact with them. Add to your Claude Desktop config (claudedesktopconfig.json): By default, the server runs in public mode which only exposes webchat URLs for Voxie services. This is the mode used when publishing to npm. For partners or

This is the MCP server of atest. Please start the MCP server with atest gRPC port. or start in Docker or start in npx You can also set the MCP server mode with the --mode flag. or as stdio mode: You can build the binary with the following command: You can build .dxt package with the following command: You can publish the package with the following command:

This project implements a Model Context Protocol (MCP) server for interacting with the ZenML API. The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). It acts like a "USB-C port for AI applications" - providing a standardized way to connect AI models to different data sources and tools. MCP follows a client-server

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your Obsidian vault. Access your notes, create content, manage tags, and search your knowledge base through natural conversation. - CRUD Operations: Create, read, update, and delete notes (with safety confirmation) - Write Modes: Overwrite, append, or prepend content - Batch Reading: Read multiple notes i

An MCP (Model Context Protocol) server that provides token-efficient access to OpenAPI (v3.0) and Swagger (v2.0) specifications via MCP Resource Templates. The primary goal of this project is to allow MCP clients (like Cline or Claude Desktop) to explore the structure and details of large OpenAPI specifications without needing to load the entire file into an LLM's context window. It achieves this

A Model Context Protocol (MCP) server for summarizing homepage of the user or contents of subreddits and comments on posts. - Summarize user's reddit frontpage (homepage) with or without comment analyses. - Summarize a subreddit contents by inspecting posts sorted by hot, new, top, rising, random (if aviable) with or without comment analysis. - Summarize comments on a post. - Python 3.12 or higher

English | 中文 k8m 是一款AI驱动的 Mini Kubernetes AI Dashboard 轻量级控制台工具，专为简化集群管理设计。它基于 AMIS 构建，并通过 kom 作为 Kubernetes API 客户端，k8m 内置了 Qwen2.5-Coder-7B，支持deepseek-ai/DeepSeek-R1-Distill-Qwen-7B模型 模型交互能力，同时支持接入您自己的私有化大模型（包括ollama）。 DEMO-InCluster模式 用户名密码 demo/demo - 详细的配置和使用说明请参考文档。 - 更新日志请参考更新日志。 - 开发设计文档-中文 - 开发设计文档-English - 迷你化设计：所有功能整合在一个单一的可执行文件中，部署便捷，使用简单。 - 简便易用：友好的用户界面和直观的操作流程，让 Kubernetes 管理更加轻松。支持

Apple Health MCP Server Apple Health Data Exploration Connect your Apple Health data with any LLM that supports MCP. Talk to your data and get personalised insights. This demo shows how Claude uses the apple-health-mcp-server to answer questions about your data. Example prompts from the demo: - I would like you to help me analyze my Apple Health data. Let's start by analyzing the data types - chec

- Agentic SWMM for reproducible stormwater modeling: the aiswmm runtime + Skills + MCP + SWMM, with a verification-first workflow and Obsidian-compatible audit trail. - Five minutes, one command: an Agentic SWMM workflow that is auditable, memory-informed, and agent-ready. - Live demo (no install, offline case replay): try it in the browser at aiswmm.com. - SWMMCanada upstream, ready to use: insid

Educational MCP server with 17 tools, persistent workspace, and cloud hosting. Built with FastMCP and the official Model Context Protocol Python SDK. Available on: - Official MCP Registry - io.github.clouatre-labs/math-mcp-learning-server - PyPI - math-mcp-learning-server Requires an MCP client: - Claude Desktop - Anthropic's desktop app - Claude Code - Command-line MCP client - Goose - Open-sourc

MCP server for Kagi API integration This is a TypeScript-based MCP server that integrates the Kagi Search API. It demonstrates core MCP concepts by providing: - Tools for performing web searches and other operations using Kagi's API (currently in private beta) - kagisearch - Perform web searches using Kagi - Takes a query string and optional limit as parameters - Returns search results from Kagi's

This MCP (Model Context Protocol) server provides various tools to interact with dbt. You can use this MCP server to provide AI agents with context of your project in dbt Core, dbt Fusion, and dbt Platform. Read our documentation here to learn more. This blog post provides more details for what is possible with the dbt MCP server. We publish an experimental Model Context Protocol Bundle (dbt-mcp.m

A robust Model Context Protocol (MCP) server that provides secure shell command execution capabilities to AI assistants and other MCP clients. In other words: the brain thinks, this runs the commands. This tool creates a bridge between AI systems and your shell environment through the standardized MCP protocol. It exposes the system shell as a structured tool, enabling autonomous workflows, tool-a

A Model Context Protocol (MCP) server for querying the Shodan API and Shodan CVEDB. This server provides comprehensive access to Shodan's network intelligence and security services, including IP reconnaissance, DNS operations, vulnerability tracking, and device discovery. All tools provide structured, formatted output for easy analysis and integration. To install Shodan Server for Claude Desktop a

Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multiple sources, or gather context from the internet without using external APIs. This skill teaches effective use of RAG-based web search with DuckDuckGo, Google, and multi-engine deep research capabilities.