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MCP Servers

A comprehensive collection of examples demonstrating how to build AI agents that integrate with the Xero API using various agentic frameworks and the Xero MCP (Model Context Protocol) Server.

A simple, locally hosted Web Search MCP server for use with Local LLMs

The Extension is open-source and at https://github.com/jasonkneen/mcpz-vscode and in the mcspx-tweaks branch

A custom MCP server that performs code reviews using Repomix and LLMs.

A universal plugin framework for development tools that enables seamless browser-server communication and MCP (Model Context Protocol) integration with AI/LLM systems.

A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.

This release includes AAS Core under the claim for local search, inspection, recommendation, manifest validation, planning, and diagnosis.

Cesium AI Integrations is a collection of reference integrations, experiments, and patterns that connect the Cesium ecosystem with AI systems such as LLMs, retrieval pipelines, and agent workflows.

Build powerful AI applications with graph-powered RAG using Memgraph. This toolkit provides everything you need to integrate knowledge graphs into your GenAI workflows.

A comprehensive collection of LangGraph implementations, tutorials, and advanced AI workflows covering Agentic RAG systems, MCP (Model Context Protocol) development, and practical AI application...

Model Context Protocol server to use ClickHouse® databases in your AI agents

This is a 12306 ticket search server based on the Model Context Protocol (MCP).
Agent Skills

265 Rust rules your AI coding agent can use to write better code. Current for Rust 1.96 (2024 edition).

面向硬件产品的PCB方案设计 AI Agent。输入产品需求,输出可评审、可落地的PCB原理图的方案。

Code is cheap. Context, control, and evidence are not. Let the model move the work forward. Let the human own goals, boundaries, permissions, checkpoints, evidence, and acceptance.

Built from practice, not theory — calibrated against real deals including vLLM/Inferact ($150M @ $800M) and Hugging Face ($235M @ $4.5B).

Personal AI assistant built on agentsdk-go.

(maintained by the authors): - https://github.com/minicoohei/ai-agent-camp Running AI agents from this repo grants them shell, file-write, and external-API permissions on your machine.

An AI coding assistant skill for creating, compiling, reviewing, and polishing academic presentations.

Run any coding agent, on any OS, from desktop or phone . just terminals. no abstractions.

Portable operating instructions for AI agents controlling Android and iOS devices—locally or in the cloud.

Skills that translate your coding agent's output into plain language: honest reports, straight verdicts, steps you can follow. MIT.

skill infrastructure for multi-agent projects

Make AI coding agents remember your project between sessions.