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MCP Servers

This project provides Model Context Protocol (MCP) for the Mifos X Ecosystem, enabling AI agents to access financial data and operations.

🐉 The fast, PHP way to build MCP servers

MCPHub Desktop is Model Context Protocol (MCP) servers installer, manager, directory. It's a GUI. It support install node, uv dependencies with one click, and install/uninstall with one click.

This is an LLM-powered application that allows users to execute terminal commands using simple English queries like:

Private AI for your Nextcloud — an MCP server (316 tools), a native Nextcloud app with chat and Coworkers, and one-command Hetzner deployment.

A type-safe implementation of the official Model Context Protocol (MCP) schema in Rust.

Sample MCP Server and MCP client using Aspire.

A Node.js package and GitHub Action for evaluating MCP (Model Context Protocol) tool implementations using LLM-based scoring, .

A practical implementation demonstrating ADK (Agent Development Kit) as an MCP (Model Context Protocol) client for flight search capabilities.

Minimal API & React framework, fully type safe, OpenAPI, RSC, MCP, type safe client, streaming with SSE

A practical governance framework for organizations adopting the Model Context Protocol (MCP), the open standard that lets AI agents connect to external tools, data sources, and systems.

It features a simple and easy-to-use API, allowing you to communicate without worrying about MC protocol details. It runs on various platforms, including Linux, Windows, and macOS.
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.