GitHub AI Agent Skills

An AI coding assistant built in Rust that provides both command-line and graphical interfaces for autonomous code analysis and modification. Multi-Modal Tool Execution: Adapts to different LLM capabilities with pluggable tool invocation modes - native function calling, XML-style tags, and triple-caret blocks - ensuring compatibility across various AI providers. Real-Time Streaming Interface: Advan

QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control QGIS. This integration enables prompt assisted project creation, layer loading, code execution and more. This project is strongly based on the BlenderMCP project by Siddharth Ahuja - Two-way communication: Connect Claude AI to QGIS through a socket-based server. - Proj

This downloads the latest release and installs it to /Applications. 1. Download the latest MemoryLane Setup .exe from GitHub Releases. 2. Run the installer and finish setup. 3. Launch MemoryLane from the Start menu. Desktop app that sees what you see, stores summaries about it locally and lets you query it in any AI chat via MCP. Screenshots → local storage → MCP into AI chats Once connected, try

A Model Context Protocol (MCP) server for LinkedIn. Search people, companies, and jobs, scrape profiles, and retrieve structured JSON data from any MCP-compatible AI client. Built with FastMCP, Patchright, and a clean hexagonal architecture. The getpersonprofile tool supports granular section scraping. Request only the sections you need: - Main profile (always included) — name, headline, location,

MCP server for management and troubleshooting of certificates and other resources managed by cert-manager. Claude Desktop config: Claude Desktop config for GKE clusters: This MCP server provides the following tools for interacting with cert-manager and Kubernetes resources: - listcertificates - List certificates within a namespace or across all namespaces, with options for filtering expired certif

The MCP server calls the Shahnameh API behind the scenes, so you need to keep that running first. Please refer to the repository below for more information: Shahnameh API Also, please bear in mind that the API uses a database, which can be found here: Shahnameh Dataset Create and activate the virtual environment. For example, on macOS: Then run the inspector: این ریپازیتوری تنها یک بخش کوچک از پرو

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

An MCP server that aggregates real-time cryptocurrency news from multiple RSS feeds, helping AI agents make informed decisions in a fast-paced market. - Feed Retrieval: Fetches latest entries from specified RSS feeds, formatting them as Markdown with plain-text summaries. - Keyword Filtering: Filters feeds by keyword in descriptions or categories. - OPML Support: Import feed list from a local OPML

Access comprehensive NBA statistics via Model Context Protocol A Model Context Protocol (MCP) server that provides access to live and historical NBA data including player stats, game scores, team information, and advanced analytics. 1. Install the server: 2. Add to your Claude Desktop config file: MacOS: ~/Library/Application Support/Claude/claudedesktopconfig.json Windows: %APPDATA%/Claude/claude

Practical patterns for using fp-ts with React - hooks, state, forms, data fetching. Use when building React apps with functional programming patterns. Works with React 18/19, Next.js 14/15.

An MCP server implementation that provides job search functionality. Get available jobs with filtering options sinceWhen (string): Since when to get available jobs. e.g., '1d' or '1w' (only days and weeks are supported) keywords (string[], optional): Keywords to filter jobs by excludeKeywords (string[], optional): Keywords to exclude from the jobs isRemote (boolean, optional): Whether to filter jo

An MCP server for interacting with the Bluesky social network via the atproto client. :wave: Leave an issue if you have any problems running this MCP. I should be able to push out fixes pretty quickly. Get your Bluesky app password at: https://bsky.app/settings/app-passwords Add the following to your MCP config file (Note that the version is pinned): - For security reasons, I think its best to kee

A Model Context Protocol (MCP) server that provides comprehensive access to MLB statistics and baseball data through a FastMCP-based interface. This MCP server acts as a bridge between AI applications and MLB data sources, enabling seamless integration of baseball statistics, game information, player data, and more into AI workflows and applications. - Current standings for all MLB teams with flex

A Model Context Protocol (MCP) server for Homebrew package management on macOS, designed for seamless integration with Claude Desktop and other MCP-compatible clients. - Language: Python 3.13 - MCP: Model Context Protocol - Package Manager: Homebrew (macOS) - Venv/Dependency Manager: uv - Exposes Homebrew commands as MCP tools. The supported commands are grouped by function: - Package Management:

- About the pgEdge Postgres MCP Server - pgEdge Postgres MCP Server - Choosing the Right Solution - Best Practices - Querying the Server - Installing the MCP Server - Quick Start - Quickstart Demo with Northwind - Deploying on Docker - Deploying from Source - Testing the MCP Server Deployment - Configuring the MCP Server - Specifying Configuration Preferences - Using Environment Variables to Speci

Real-time global intelligence dashboard — AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface. Documentation  ·  Releases  ·  Contributing - 500+ curated news feeds across 15 categories, AI-synthesized into briefs - Dual map engine — 3D globe (globe.gl) and WebGL flat map (deck.gl) with 56 map layer type

Generate workflow JSON files for chaining AI models

Ever wished you could just ask Portainer what's going on? Now you can! Portainer MCP connects your AI assistant directly to your Portainer environments. Manage Portainer resources such as users and environments, or dive deeper by executing any Docker or Kubernetes command directly through the AI. Portainer MCP is a work in progress implementation of the Model Context Protocol (MCP) for Portainer e

audit-prompt-caching is a portable Codex/agent skill for finding why LLM cache reuse fails across the request path: prompt/prefix caches, provider cache telemetry, cache-aware routing, agent tool stability, Bedrock checkpoints, OpenRouter routing drift, provider migration risk, and vLLM/SGLang KV reuse. LLM cache reuse usually fails silently. A timestamp in the system prompt, shuffled tool schemas

A CLI inspector for the Model Context Protocol - Run MCP servers from various sources - List Tools, Resources, Prompts - Call Tools, Read Resources, Read Prompts - OAuth support for SSE and Streamable HTTP servers This will use the config file of Claude Desktop. The config file has the same format as the Claude Desktop config file. Run a specific tool, resource, or prompt without interactive promp

This is a simple example of how to use a Fireproof database in a Model Context Protocol server (used for plugging code and data into A.I. systems such as Claude Desktop). This demo server implements a basic JSON document store with CRUD operations (Create, Read, Update, Delete) and the ability to query documents sorted by any field. Install dependencies: To use with Claude Desktop, add the server

MCPServers.org | ModelScope | （更多MCP平台陆续上架中……） CRIC物业AI 是 克而瑞 专为物业行业打造的智能 AI 助理，于2025年4月25日 正式发布。 CRIC物业AI 通过行业知识库建设，结合多模态大模型 + RAG 技术，集成五大核心能力模块：行业研究、法律法规、社区治理、项目经营、文案写作，并在行业垂类知识基础上，拓展了 资讯舆情 和 人才培训 两大智能体。 克而瑞通过三个能力来构建其自身在物业AI合作领域优势： - 数据资产转化能力： 将10亿字行业语料、TB级多模态数据转化为物业行业的高质量数据集，并构建了一套行业数据质量评估体系，保障准确率和可信度； - 场景穿透能力： 聚焦20+物业行业垂直业务场景，定向选用对应领域知识库，精准匹配； - 生态进化能力： 通过每日实时监测超过500+可信资讯和数据来源，处理10万+实时数据的自更新系

Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, ingesting files, saving web content, or handling PDF, HTML, DOCX, TXT, Markdown.

ACP to MCP Adapter Connect ACP Agents to MCP Applications Seamlessly The ACP to MCP Adapter is a lightweight standalone server that acts as a bridge between two AI ecosystems: Agent Communication Protocol (ACP) for agent-to-agent communication and Model Context Protocol (MCP) for connecting AI models to external tools. It allows MCP applications (like Claude Desktop) to discover and interact with