GitHub AI Agent Skills

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 Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools. - Query supported Kubernetes resource types (built-in resources and CRDs) - Kubernetes resource operations with fine-grained control - Read operations: get resource details, list resources by type with filtering options - Write operations: create, update, and delete resources (each

An MCP server for nearby place searches with IP-based location detection. - IP-based Location Detection: Uses ipapi.co to determine your current location - Google Places Integration: Searches for nearby places based on keywords and optional type filters - Simple Interface: Single tool endpoint with customizable radius - Python 3.10+ - Google Cloud Platform API Key with Places API enabled - Interne

Own your AI. Agents, memory, tools, and identity that live on your Mac. Built purely in Swift. Fully offline. Open source. Download for Mac · Plugin Registry Models are getting cheaper and more interchangeable by the day. What's irreplaceable is the layer around them -- your context, your memory, your tools, your identity. Others keep that layer on their servers. Osaurus keeps it on your machine.

A Model Context Protocol (MCP) server that provides access to GitHub's GraphQL API. This server exposes a single tool that allows executing arbitrary GraphQL queries and mutations against GitHub's API. - Execute any GraphQL query against GitHub's API - Comprehensive error handling and reporting - Detailed documentation with example queries - Support for variables in GraphQL operations - Python 3.1

MCP server for Bitbucket API operations. Works with Claude Code, Claude Desktop, Cursor, and any MCP-compatible client. This repository contains both TypeScript and Python implementations: - Repositories: get, create, delete, list, update (move to project, rename) - Pull Requests: create, get, list, merge, approve, decline, request changes, comments, diff - Pipelines: trigger, get status, list, vi

GXtract is a Model Context Protocol (MCP) server designed to integrate with VS Code and other compatible editors. It provides a suite of tools for interacting with the GroundX platform, enabling you to leverage its powerful document understanding capabilities directly within your development environment. - Architecture - Prerequisites - Installing UV - Quick Start: VS Code Integration - Available

- Requirements - Entity Operations - Telemetry Management - Relations - OTA Packages - Entity Data Query - Quick Start Guide - Installation - Docker Image - Build from Sources - Client Configuration - Binary Configuration - Docker Configuration - Environment Variables - Tool Groups Configuration - Available Tools - Device Tools - Asset Tools - Customer Tools - User Tools - Alarm Tools - OTA Tools

The implementation of Model Context Protocol (MCP) server for VictoriaLogs. This provides access to your VictoriaLogs instance and seamless integration with VictoriaLogs APIs and documentation. It can give you a comprehensive interface for logs, observability, and debugging tasks related to your VictoriaLogs instances, enable advanced automation and interaction capabilities for engineers and tools

Dependency intelligence infrastructure for AI assistants and agents working with JVM projects. Traditional upgrade workflow: 1. Google "Spring Boot 2.7 to 3.2 migration guide" (5 minutes) 2. Read 50-page migration docs, cross-reference breaking changes (15 minutes) 3. Check Maven Central for compatible dependency versions (5 minutes) 4. Update pom.xml, compile, fix breaking changes (30 minutes) 5.

Spring Boot starter that automatically exposes SpringDoc OpenAPI operations as MCP tools. - Auto-discovery of OpenAPI operations from your running Spring app - Auto-registration of MCP tools for discovered API operations - Smart-context tools: metadiscoverapitools, metainvokeapibyintent - Response optimization with projection/summarization controls - Risk controls for dangerous operations (confirm

A Model Context Protocol (MCP) server implementation for the Linear GraphQL API that enables AI assistants to interact with Linear project management systems. MCP Linear bridges the gap between AI assistant and Linear (project management tool) by implementing the MCP protocol. This allows to: - Retrieve issues, projects, teams, and other data from Linear - Create and update issues - Change issue s

An MCP server serving as a structured knowledge base of crypto whitepapers for AI agents to access, analyze, and learn from. - Search Whitepapers: Use DuckDuckGo to find whitepaper PDFs for cryptocurrency projects. - Load Whitepapers: Download and index whitepaper PDFs into the knowledge base. - Query Knowledge Base: Query whitepaper content with optional project filtering. - List Projects: View a

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details. This MCP server is free and open source, supported by Unipile. It runs locally with your own browser session. Unipile is the fully managed cloud alternative: a hosted LinkedIn API for Classic, Sales Navigator, and Recru

Shodh-Memory Persistent memory for AI agents. Single binary. Local-first. Runs offline. We built this because AI agents forget everything between sessions. They make the same mistakes, ask the same questions, lose context constantly. Shodh-Memory fixes that. It's a cognitive memory system—Hebbian learning, activation decay, semantic consolidation—packed into a single ~17MB binary that runs offline

A modular and extensible Model Context Protocol (MCP) server for Jira and GitHub integration, enabling end-to-end automation of developer workflows - from issue tracking to code changes and pull request management - via AI agents inside the IDE. - Jira integration: fetch issues by filters, search via JQL, and transition issues across workflows - GitHub integration: create branches, open and merge

Academic-focused graph analysis in your AI conversations - The first and only NetworkX MCP server specialized for academic research and citation analysis. NetworkX MCP Server enables Large Language Models (like Claude) to perform sophisticated academic research and citation analysis directly within conversations. Built specifically for researchers, academics, and students who need to analyze citat

SmartBear MCP server A Model Context Protocol (MCP) server which provides AI assistants with seamless access to SmartBear's suite of testing and monitoring tools, including BearQ, BugSnag, Reflect, Swagger, PactFlow, Pact Broker, QMetry, QTM4J, Zephyr and Collaborator. The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to external data sources and t

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

Generates customer-ready roadmap views and launch timelines from ProductPlan for Sales and Customer Success teams. Use when preparing for customer calls, sharing product direction, or answering "when will feature X ship?" questions.

MCP server connecting Claude/Cursor to Codex CLI. Enables code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode. - File Analysis — Reference files with @src/, @package.json syntax - Multi-Turn Sessions — Conversation continuity with workspace isolation - Native Resume — Uses codex resume for context preservation (CLI v0.36.0+) - Local OSS Models

if macbook or linux If the network is slow, you can set up a domestic mirror source. Method 1: On the setting page of cherry-studio, click on the MCP server, then click "Add Server", and subsequently configure it on the page. Method 2: Use the configuration parameters

⚡ Fully automated MCP server built on top of apktool to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, parse manifests, and reverse engineer effortlessly. Image generated using AI tools. apktool-mcp-server is a MCP server for the Apk Tool that integrates directly with Model Context Protocol (MCP) to provide live reverse engineering support with LLMs like Claude. Think: "Dec

You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C