Go AI Agent Skills

A Model Control Protocol (MCP) server for managing and serving dynamic prompt templates using elegant and powerful text template engine. Create reusable, logic-driven prompts with variables, partials, and conditionals that can be served to any compatible MCP client like Claude Code, Claude Desktop, Gemini CLI, VSCode with Copilot, etc. - MCP Compatible: Works out-of-the-box with any MCP client tha

Free Local RAG for Claude Code - Save Tokens & Time 日本語版はこちら | Japanese Version DevRag is a lightweight RAG (Retrieval-Augmented Generation) system designed specifically for developers using Claude Code. Stop wasting tokens by reading entire documents - let vector search find exactly what you need. When using Claude Code, reading documents with the Read tool consumes massive amounts of tokens: - ❌

Master Go 1.21+ with modern patterns, advanced concurrency,

Use this skill when building applications with Gemini models, Gemini API, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage (google-genai for Python, @google/genai for JavaScript/TypeScript, com.google.genai:google-genai for Java, google.golang.org/genai for Go), model selection, and API capabilities.

A Model Context Protocol (MCP) server providing AI assistants with comprehensive Quip document access and management. - Full Document Lifecycle: Create, read, edit, delete Quip documents - Smart Search: Find documents with comprehensive search capabilities - Recent Documents: Access your recently viewed/edited documents - User Management: Get user information and details - Comments: Retrieve and m

Golang-based MCP server connecting to Kubernetes Features ⚙ Browse With Inspector ⚙ Use With Claude ⚙ Contributing ↗ ⚙ About MCP ↗ MCP 💬 prompt 🗂️ resource 🤖 tool - 🗂️🤖 List Kubernetes contexts - 💬🤖 List Kubernetes namespaces - 🤖 List, get, create and modify any Kubernetes resources - includes custom mappings for resources like pods, services, deployments - 🤖 List Kubernetes nodes - 💬 Li

A Model Context Protocol (MCP) server that lets AI assistants use Go’s LSP (gopls) for navigation, diagnostics, testing, coverage, and more. This MCP server helps AI assistants to: - Use LSP to analyze Go workspaces - Navigate to definitions, references, and workspace symbols - Format, rename, and inspect code actions without leaving MCP - Run Go tests, coverage, go mod tidy, govulncheck, and modu

English | 中文 Zero-dependency MCP memory server for AI agents — persistent, searchable, local-first, single binary. - No infra to babysit. Single Go binary. No Docker, no Node.js runtime, no cloud account, no API keys. brew install in 30 seconds. - Memory stays with the project. Stored in .aimemo/ next to your code — commit it to git or add it to .gitignore. Switch branches; memory follows the dire

A comprehensive Go-based MCP (Model Context Protocol) server for mathematical computations, implementing 13 mathematical tools with advanced features and high precision calculations. Owner & Maintainer: Avinash Sangle (avinash.sangle123@gmail.com) 1. Basic Math Operations - Precision arithmetic with configurable decimal places - Addition, subtraction, multiplication, division - Multiple operand su

A Model Context Protocol (MCP) server that enables AI assistants to play tic-tac-toe through standardized tool interfaces. Perfect for demonstrating AI-human collaboration and MCP integration. This project implements a complete tic-tac-toe game as an MCP server, allowing AI assistants like Claude to: - Create and manage multiple game sessions - Make strategic moves and analyze positions - Provide

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

search golang packages and their docs from pkg.go.dev, provide the infomation to llm as mcp server You can download the compiled binary from the releases page. Or you can install it from source, compile it by yourself: just use your client to request. it servers on stdio - localCache - [x] use a local cache to avoid search every time(From reddit user) - searchPackage - [x] imported by how many pac

A Golang-based Model Context Protocol (MCP) server implementation for Prometheus that enables natural language interactions with Prometheus metrics and queries. Built with Go, prometheus-mcp-server provides a robust, type-safe interface that maintains full consistency with the Prometheus HTTP API, allowing you to query and manage your Prometheus instance through natural language conversations with

Edit MediaWiki pages safely using the right tool for each change. Covers text replacement, formatting, bulk updates, and new page creation with preview-before-save workflow.

Verify any company's legal identity in one question. Look up LEI codes, validate counterparties, and trace corporate ownership structures using the official GLEIF database. Covers 2.8M+ entities across 200+ jurisdictions. 29 tools for LEI lookup, entity search, BIC/SWIFT cross-referencing, corporate ownership, and batch validation. Works with Claude Desktop, Claude Code, Cursor, VS Code, Windsurf,

mcp-log-proxy can be used to see the messages to and from a MCP client and a MCP server using a Web interface. Currently, it only supports the STDIO interface. All running mcp-log-proxy processes will register themselves in .mcp-log-proxy-instances.json located in your home directory. On the web page, you can use the selector to switch to another proxy instance. mcp-log-proxy requires one argument

godoc-mcp is a Model Context Protocol (MCP) server that provides efficient access to Go documentation. It helps LLMs understand Go projects by providing direct access to package documentation without needing to read entire source files. godoc-mcp can vastly improve the performance of using LLMs to develop in Go by substantially reducing the number of tokens needed to understand and make use of Go

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.

The firewall for AI agents. Open-source policy enforcement for MCP. Website: policylayer.com Intercept is a deterministic enforcement proxy for the Model Context Protocol (MCP). It sits between an AI agent and an MCP server, evaluating every tools/call request against YAML-defined policies. Violating calls are blocked at the transport layer before reaching the upstream server. MCP gives AI agents

This repository contains an implementation of a Model Context Protocol (MCP) server for the Royal Spanish Academy (RAE) API. It allows language models to interact with RAE's dictionary and linguistic resources. Run the server with stdio transport (for integration with LLMs): Or run it as an SSE server: The MCP server exposes the following tools to LLMs: 1. search - Search RAE API for information -

For the best experience, use Pipedream's hosted MCP server which provides: - 2,800+ APIs and 10,000+ tools through a single server - Built-in authentication: no manual token management required - Multiple tool modes: sub-agent and full configuration - Automatic app discovery - Enterprise-grade reliability and security 🚀 Get started: Pipedream MCP Documentation This reference implementation shows

           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

A tool similar to cloc, sloccount and tokei. For counting the lines of code, blank lines, comment lines, and physical lines of source code in many programming languages. Goal is to be the fastest code counter possible, but also perform COCOMO calculation like sloccount, LOCOMO estimation for LLM-based development costs, estimate code complexity similar to cyclomatic complexity calculators and prod

Wrap any existing Echo API into MCP tools, enabling AI agents to interact with your API through Model Context Protocol. Inspired by gin-mcp but for the Echo framework. - Zero Configuration: Works with any existing Echo API - Multiple Schema Sources: Support for Swaggo, raw OpenAPI YAML/JSON, and manual schemas - Filtering: Include/exclude endpoints with wildcard patterns - MCP Compatible: Works wi