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LLM & AI Agent Skills

AI agent skills for working with large language models. Prompt engineering, API integration, and AI workflow patterns.

241 listings

Blockchain MCP powered by Tatum

MCP

A Model Context Protocol (MCP) server that provides access to the Tatum Blockchain Data API and RPC Gateway, enabling any LLM to read and write blockchain data across 130+ networks. Visit official MCP webpage for more details and to get your Tatum API key. - 130+ Blockchain Networks: Bitcoin, Ethereum, Solana, Polygon, Arbitrum, Base, Avalanche, and many more. - 🔗 Blockchain Data API: Blocks, tra

7.0364by tatumio

Csl Core

Skill

CSL-Core (Chimera Specification Language) is a deterministic safety layer for AI agents. Write rules in .csl files, verify them mathematically with Z3, enforce them at runtime — outside the model. The LLM never sees the rules. It simply cannot violate them. Originally built for Project Chimera, now open-source for any AI system. This doesn't work. LLMs can be prompt-injected, rules are probabilist

8.0403by Chimera-Protocol

HarmonyOS MCP Server

MCP

HarmonyOS MCP Server     This is a MCP server for manipulating harmonyOS Device. 1. Clone this repo 2. Setup the envirnment. You can use Claude Desktop to try our tool. You can also use openai-agents SDK to try the mcp server. Here's an example You can use LangGraph, a flexible LLM agent framework to design your workflows. Here's an example Write the system prompt in server.py Use l

7.0378by XixianLiang

mcp-stockfish 🐟

MCP

A Model Context Protocol server that lets your AI talk to Stockfish. Because apparently we needed to make chess engines even more accessible to our silicon overlords. This creates a bridge between AI systems and the Stockfish chess engine via the MCP protocol. It handles multiple concurrent sessions because your AI probably wants to analyze seventeen positions simultaneously while you're still fig

7.0357by sonirico

Conversation Memory

Skill

Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.

3.013kby sickn33

RAG Documentation MCP Server

MCP

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context. - Vector-based documentation search and retrieval - Support for multiple documentation sources - Semantic search capabilities - Automated documentation processing - Real-time context augmentation f

8.0650by hannesrudolph

Chargebee Model Context Protocol (MCP) Server

Skill

Please migrate to our new KnowledgeBase MCP Server, which provides enhanced capabilities and improved accuracy. Model Context Protocol (MCP) is a standardized protocol designed to manage context between large language models (LLMs) and external systems. The Chargebee MCP Server offers a robust set of tools to improve developer efficiency. It integrates with AI-powered code editors like Cursor, Win

6.0313by chargebee

Torrentclaw MCP

MCP

Model Context Protocol server for TorrentClaw — giving AI assistants the ability to search movies and TV shows, find torrents with magnet links, check streaming availability, and explore cast/crew metadata. torrentclaw-mcp is developed by TorrentClaw as part of its open-source ecosystem. It wraps the TorrentClaw API into the MCP standard so that any compatible AI assistant (Claude, GPT, etc.) can

7.0351by torrentclaw

MCP Simple Arxiv

MCP

An MCP server that provides access to arXiv papers through their API. This server allows LLM clients (like Claude Desktop) to: - Search for scientific papers on arXiv by title and abstract content - Filter search results by submission date range - Control search result sorting (by submission date, update date, or relevance) - See total matching results count to gauge search specificity - Get paper

8.0581by andybrandt

Code To Tree

Skill

- 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

7.0430by micl2e2

Bugsnag MCP Server

MCP

A Model Context Protocol (MCP) server for interacting with Bugsnag. This server allows LLM tools like Cursor and Claude to investigate and resolve issues in Bugsnag. - Organization & Project Navigation: Easily browse your Bugsnag hierarchy - Error & Event Filtering: Find specific issues with powerful filtering options - Detailed Stacktrace Viewing: See formatted stacktraces with source code contex

8.0418by tgeselle

MCP Echarts

MCP

Generate Apache ECharts with AI MCP dynamically for chart generation and data analysis. Also you can use mcp-server-chart to generate chart, graph, map. - Fully support all features and syntax of ECharts, include data, style, theme and so on. - Support exporting to png, svg, and option formats, with validation for ECharts to facilitate the model's multi-round output of correct syntax and graphics.

8.0609by hustcc

Next Type LLM

Rules

Holistic understanding of requirements & stack

7.041kby PatrickJS

OSV MCP Server

MCP

An MCP (Model Context Protocol) server that provides access to the OSV (Open Source Vulnerabilities) database. This project implements an SSE-based MCP server that allows LLM-powered applications to query the OSV database for vulnerability information. The server provides tools for: 1. Querying vulnerabilities for a specific package version or commit 2. Batch querying vulnerabilities for multiple

8.0426by StacklokLabs

Model Context Protocol Server for Home Assistant

MCP

The server uses the MCP protocol to share access to a local Home Assistant instance with an LLM application. A powerful bridge between your Home Assistant instance and Language Learning Models (LLMs), enabling natural language control and monitoring of your smart home devices through the Model Context Protocol (MCP). This server provides a comprehensive API for managing your entire Home Assistant

8.0944by tevonsb

Stats Compass MCP

MCP

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

8.3427by oogunbiyi21

mcp-shell 🐚

MCP

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

8.0457by sonirico

Vektor Memory

MCP

Hardware-accelerated persistent memory for AI agents. Local-first. No cloud. One-time payment. 66.9% on LoCoMo benchmark (adjusted). Under 1ms retrieval. Zero cloud dependency. Retrieval pipeline rebuilt from scratch. - bge-small-en-v1.5 bi-encoder + ms-marco cross-encoder reranker (spec-decode architecture) - BM25 + Porter-stemmed BM25 + named entity injection, fused via RRF - MAGMA graph layer —

8.7438by getvektor

Dingo

Skill

👋 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

8.01.0kby DataEval

Semantic API MCP Server

MCP

An MCP (Model Context Protocol) server that lets Claude, ChatGPT, and other LLM agents search and discover APIs using natural language via Semantic API. Ask for any API capability in plain English and get back endpoint details, parameters, auth info, and code snippets. Or run directly with uvx: Sign up at semanticapi.dev to get your API key. Add to your Claude Desktop config (~/Library/Application

8.0400by peter-j-thompson

Package Version MCP Server

MCP

An MCP server that provides tools for checking latest stable package versions from multiple package registries: - npm (Node.js/JavaScript) - PyPI (Python) - Maven Central (Java) - Go Proxy (Go) - Swift Packages (Swift) - AWS Bedrock (AI Models) - Docker Hub (Container Images) - GitHub Container Registry (Container Images) - GitHub Actions This server helps LLMs ensure they're recommending up-to-da

8.0520by sammcj

MCP Chess Server

MCP

This MCP let's you play chess against any LLM. To use this chess server, add the following configuration to your MCP config: Play a game: Find a position in a PGN for game analysis: The server provides the following tools: getboardvisualization(): Provides the current state of the chessboard as an image. The board orientation automatically flips based on the user's assigned color. getturn(): Indic

8.0418by jiayao

Connect AI to Your Bitbucket Repositories

MCP

Transform how you work with Bitbucket by connecting Claude, Cursor AI, and other AI assistants directly to your repositories, pull requests, and code. Get instant insights, automate code reviews, and streamline your development workflow. - Ask AI about your code: "What's the latest commit in my main repository?" - Get PR insights: "Show me all open pull requests that need review" - Search your cod

8.0516by aashari

SearXNG MCP Server

MCP

An MCP server implementation that integrates the SearXNG API, providing web search capabilities. - Web Search: General queries, news, articles, with pagination. - URL Content Reading: Advanced content extraction with pagination, section filtering, and heading extraction. - Intelligent Caching: URL content is cached with TTL (Time-To-Live) to improve performance and reduce redundant requests. - Pag

6.0783by ihor-sokoliuk