LLM & AI Agent Skills

An MCP server that enables AI assistants like Claude to interact with Odoo ERP systems. Access business data, search records, create new entries, update existing data, and manage your Odoo instance through natural language. Works with any Odoo instance! Use YOLO mode for quick testing and demos with any standard Odoo installation. For enterprise security, access controls, and production use, insta

MCP server that fetches YouTube video transcripts and optionally summarizes them. - Fetch transcripts in multiple formats (text, JSON, SRT, WebVTT, pretty-print) - Summarize videos — returns transcript with instructions for the LLM to produce a summary - List available languages for any video's transcripts - Flexible URL parsing — accepts full YouTube URLs (youtube.com/watch?v=, youtu.be/, youtube

Project Synopsis

Jotdown is a Model Context Protocol (MCP) server that allows large language models (LLMs) to interact with Notion and also generate Markdown Books. It provides two primary tools for LLMs: - 👉 Notion Integration: Create or update pages in Notion with content generated by the LLM. - 👉 Mdbook Generation: Generate a mdbook from content and manage the structure. Jotdown enables LLMs to seamlessly int

👋 join us on Discord and WeChat If you like Dingo, please give us a ⭐ on GitHub! Dingo is A Comprehensive AI Data, Model and Application Quality Evaluation Tool, designed for ML practitioners, data engineers, and AI researchers. It helps you systematically assess and improve the quality of training data, fine-tuning datasets, and production AI systems. 🎯 Production-Grade Qua

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

Every multi-step tool workflow burns an LLM round-trip per step. The agent calls tool A, waits, sends the full context back to the model, gets a decision to call tool B, calls it, sends everything back again. Each round-trip re-transmits 2K–10K tokens on what is essentially plumbing. For a session with 20 two-step workflows, that's 20 wasted model calls, ~100K wasted tokens, and 20–40 seconds of a

Nile MCP Server Learn more ↗️ A Model Context Protocol (MCP) server implementation for Nile database platform. This server allows LLM applications to interact with Nile platform through a standardized interface. - Database Management: Create, list, get details, and delete databases - Credential Management: Create and list database credentials - Region Management: List available regions for databas

This project provides Model Context Protocol (MCP) for the Mifos X Ecosystem, enabling AI agents to access financial data and operations. Implementations is available in Java (Quarkus). Use the MCP Inspector to test and debug your server: This starts a local web UI to connect to your MCP server via STDIO or SSE. Prerequisites: JDK 21+, Maven 1. Configure environment variables in your shell or IDE:

Enable AI models to interact with a global network measurement platform through natural language. Give network access to any LLM. Globalping is a free, public API that provides access to a globally distributed network of probes for monitoring, debugging, and benchmarking internet infrastructure. With Globalping, you can run network tests (ping, traceroute, DNS, MTR, HTTP) from thousands of locatio

A powerful Ghidra extension that provides an MCP (Model Context Protocol) server, enabling AI assistants and other tools to interact with Ghidra's reverse engineering capabilities through a standardized API. GhidrAssistMCP bridges the gap between AI-powered analysis tools and Ghidra's comprehensive reverse engineering platform. By implementing the Model Context Protocol, this extension allows exte

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

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

The Parallel Search MCP allows using Parallel Search API from within any MCP-compatible LLM client. It is meant for daily use for everyday smaller web-search tasks. Please read our MCP docs here for more details. The official installation instructions can be found here. Running locally This is a Search MCP proxy server (https://search-mcp.parallel.ai) that proxies /mcp to https://mcp.parallel.ai/v

Make your meetings accessible to AI Agents 🤖 joinly.ai is a connector middleware designed to enable AI agents to join and actively participate in video calls. Through its MCP server, joinly.ai provides essential meeting tools and resources that can equip any AI agent with the skills to perform tasks and interact with you in real time during your meetings. - Live Interaction: Lets your agents exec

This project is a MCP server for automating and managing interactions on a Facebook Page using the Facebook Graph API. It exposes tools to create posts, moderate comments, fetch post insights, and filter negative feedback — ready to plug into Claude, or other LLM-based agents. This MCP provides a suite of AI-callable tools that connect directly to a Facebook Page, abstracting common API operations

   Give AI assistants (Claude, Cursor, VS Code, etc.) the ability to control your desktop and automate tasks across any application. Claude Code (one-liner): Other clients (Cursor, VS Code, Windsurf, etc.): Add to your MCP config file: See the MCP Agent README for detailed setup instructions. - Uses your browser session - no need to relogin, keeps all your cookies and auth - Doesn't take

MKP is a Model Context Protocol (MCP) server for Kubernetes that allows LLM-powered applications to interact with Kubernetes clusters. It provides tools for listing and applying Kubernetes resources through the MCP protocol. - List resources supported by the Kubernetes API server - List clustered resources - List namespaced resources - Get resources and their subresources (including status, scale,

A Mattermost integration that connects to Model Context Protocol (MCP) servers, leveraging a LangGraph-based AI agent to provide an intelligent interface for interacting with users and executing tools directly within Mattermost. - 🤖 Langgraph Agent Integration: Uses a LangGraph agent to understand user requests and orchestrate responses. - 🔌 MCP Server Integration: Connects to multiple MCP serve

Slack MCP Server Give Claude the same Slack access you have. DMs, threads, history—no admin approval. I built this because I was working with someone to help me manage a complex workload, and we kept hitting walls. They needed context from my messages—"what did X say about Y?"—but Slack's API blocks access to DMs without admin approval. Screenshotting messages is not a workflow. This server bridge

- 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

A Model Context Protocol server that enables LLMs to interact with GraphQL APIs. This implementation provides schema introspection and query execution capabilities, allowing models to discover and use GraphQL APIs dynamically. Run mcp-graphql with the correct endpoint, it will automatically try to introspect your queries. - graphql-schema: The server exposes the GraphQL schema as a resource that c

Holistic understanding of requirements & stack

The LeetCode MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with LeetCode APIs, enabling advanced automation and intelligent interaction with LeetCode's programming problems, contests, solutions, and user data. - 🌐 Multi-site Support: Support​ both leetcode.com (Global) and leetcode.cn (China) platforms - 📊 Problem Data Retrieval: Obtain detailed problem d