LLM & AI Agent Skills

MongoDB Lens is a local Model Context Protocol (MCP) server with full featured access to MongoDB databases using natural language via LLMs to perform queries, run aggregations, optimize performance, and more. - Quick Start - Installation - Configuration - Client Setup - Data Protection - Test Suite - Disclaimer - Install MongoDB Lens - Configure MongoDB Lens - Set up your MCP Client (e.g. Claude D

A Model Context Protocol (MCP) server that provides access to the MongoDB Atlas API. This server wraps the mongodb-atlas-api-client package to expose MongoDB Atlas functionality through MCP tools. This MCP server exposes most of the mongodb-atlas-api-client surface as MCP tools. - userget — Get a database user by username - usergetall — List all database users - usercreate — Create a database user

An MCP (Model Context Protocol) server providing comprehensive email capabilities via IMAP and SMTP. Enables AI assistants to read, search, send, manage, schedule, and analyze emails across multiple accounts. Exposes 47 tools, 7 prompts, and 6 resources over the MCP protocol with OAuth2 support (experimental), email scheduling, calendar extraction, analytics, provider-aware label management, real-

ntfy-me-mcp provides AI assistants with the ability to send real-time notifications to your devices through the ntfy service (either public or selfhosted with token support). Get notified when your AI completes tasks, encounters errors, or reaches important milestones - all without constant monitoring. The server includes intelligent features like automatic URL detection for creating view actions

A Deno monorepo containing packages for JSR (JavaScript Registry) access: - @wyattjoh/jsr - Core library for JSR API access - @wyattjoh/jsr-mcp - Model Context Protocol (MCP) server for LLM integration - Search packages across the JSR registry - Get package details, versions, and dependencies - Manage scopes and package publishing - Handle member invitations and permissions - Access registry stati

           CentralMind Gateway: Create API or MCP Server in Minutes 🚀 Interactive Demo avialable here: https://centralmind.ai Simple way to expose your database to AI-Agent via MCP or OpenAPI 3.1 protocols. This will run for you an API: Which you can use inside your AI Agent: Gateway will generate AI optimized API. AI agents and LLM-powered applications need fas

Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol. Quick demo of Langfuse Prompts MCP in Claude Desktop (unmute for voice-over explanations): This server implements the MCP Prompts specification for prompt discovery and retrieval. - prompts/list: List all available prompts - Optio

Welcome to the awesome-ai-research-writing project! This application helps you elevate your AI research writing without the usual hassle. Let’s guide you through the steps to download and run the application smoothly. 1. Visit the Releases page to download your copy of the software. 2. Choose the latest version available. Look for the asset that fits your operating system. 3. Click the download li

Model Context Protocol server for YDB. It allows to work with YDB databases from any LLM that supports MCP. This integration enables AI-powered database operations and natural language interactions with your YDB instances. uvx, which is an allias for uv run tool, allows you to run various python applications without explicitly installing them. Below are examples of how to configure YDB MCP using u

- MCP Server: code-to-tree - Using code-to-tree - Configure MCP Clients - Building (Windows) - Building (macOS) The code-to-tree server's goals are: 1. Give LLMs the capability of accurately converting source code into AST(Abstract Syntax Tree), regardless of language. 2. One standalone binary should be everything the MCP client needs. These goals imply: 1. The underlying syntax parser should be v

stats-compass-mcp Turn your LLM into a data analyst. Multiple data science tools via MCP. Restart your client and start asking questions about your data. Run stats-compass-mcp list-tools to see all available tools. Start your message with "Use stats compass to..." — this tells the AI to use the Stats Compass tools instead of trying to write code or use other methods. Local mode: Start with "Use st

The stable, glowing orb at the center represents the persistent context that survives across chat sessions. The flowing data streams show how ongoing conversations connect to and draw from this stable core of information, preventing context loss. A static MCP (Model Context Protocol) server that provides AI models with persistent tool context, preventing context loss between chat sessions. This se

mcp-ragchat An MCP server that adds RAG-powered AI chat to any website. One command from Claude Code. Tell Claude Code "add AI chat to mysite.com" and it will crawl your content, build a local vector store, spin up a chat server, and hand you an embed snippet. No cloud infra. No database. Just one API key. 1. Clone and build 2. Configure Claude Code (~/.claude/mcp.json) Open Claude Code and say: C

Alibaba Cloud Ops MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Alibaba Cloud APIs, enabling AI assistants to operate resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS, OSS, VPC, RDS and other widely used cloud products. It also enables AI assistants to analyze, build, and deploy applications to Alibaba Cloud ECS instances. Smithery AI FC-

Author: Syncfusion Homepage: https://boldsign.com An MCP server designed to facilitate interaction between Large Language Models (LLMs) and the BoldSign API. The Model Context Protocol (MCP) extends LLM capabilities, enabling them to act as agents when connecting with external systems. This project contains various tools that interact with the BoldSign API to manage templates and documents for you

Code-Graph-RAG parses a multi-language codebase with Tree-sitter, builds a knowledge graph of its structure in Memgraph, and lets you query, edit, and optimise that code in plain English. It works across a monorepo of mixed languages under one unified graph schema. - Ruby Support: Ruby joins the graph through a new pluggable ast-grep tier that adds a language from a single YAML pattern file, emitt

Lightweight Model Context Protocol (MCP) server exposing read-only Interactive Brokers data (contracts, historical data, fundamentals, news, portfolio, account) via the asynchronous ibasync library and FastMCP. Ideal for feeding financial data into LLM workflows and autonomous agents while keeping trading disabled. This directory contains an MCP (Model Context Protocol) server that wraps the ibasy

An MCP server that delivers crypto ETF flow data to power AI agents' decision-making. - Unified Tool: The getetfflow tool dynamically fetches historical ETF flow data for BTC or ETH. - Markdown Table Output: Leverages pivot tables to present data with ETF tickers as columns, dates as rows, and a total column for summed flows. - Prompt Guidance: Includes a prompt (etfflowprompt) to streamline LLM i

CRUD operations for knowledge base docs — add, delete, update metadata, embed. Requires GNOSIS_MCP_WRITABLE=true.

Dead simple MCP (Model Context Protocol) server for Toggl time tracking. Control your Toggl timer directly from Claude, ChatGPT, or any LLM that supports MCP. - ⏱️ Start/stop timers - 📊 View current timer - 📈 Get today's time entries - 🗂️ List projects - 🗑️ Delete time entries Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claudedesktopconfig.json): 1. Go to Tog

An MCP (Model Context Protocol) server that provides unified access to multiple Large Language Model APIs for AI coding environments like Cursor and Claude Desktop. - 🌐 8 LLM Providers – ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, Mistral - 🎯 Smart Model Selection – Tag-based preferences (coding, business, reasoning, math, creative, general) - 📊 Prompt Logging – Track all prompts

An MCP (Model Context Protocol) server that exposes a collection of system prompts, summaries, and tool definitions from popular AI tools as MCP tools for AI coding environments like Cursor and Claude Desktop. - 🔍 Automatic Discovery – Every prompt in prompts/ is automatically exposed as an MCP tool - 🎯 Model-Aware Suggestions – Get prompt recommendations based on your LLM (Claude, GPT, Gemini,

Product Hunt MCP Server connects Product Hunt's API to any LLM or agent that speaks the Model Context Protocol (MCP). Perfect for AI assistants, chatbots, or your own automations! - 🔍 Get posts, collections, topics, users - 🗳️ Get votes, comments, and more - 🛠️ Use with Claude Desktop, Cursor, or any MCP client - Get detailed info on posts, comments, collections, topics, users - Search/filter b

Debug AI traces, find exceptions, analyze sessions, and manage prompts via Langfuse MCP. Also handles MCP setup and configuration.