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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers

Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools

A Model Context Protocol (MCP) server implementation for remote memory bank management, inspired by Cline Memory Bank.

A professional, config-driven backtesting framework for algorithmic trading, built on Backtrader. Seamlessly test, optimize, and integrate trading strategies with Large Language Models (LLMs) across...

Core PHP implementation for the Model Context Protocol (MCP) server

The Typescript MCP Framework

TL;DR: End-to-end documentation to set up your own local & fully private LLM server on Debian. Equipped with chat, web search, RAG, model management, MCP servers, image generation, and TTS, along...

Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs

MCP Server for Burp

A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup

A Model Context Protocol (MCP) server for interacting with Microsoft 365 and Office services through the Graph API

gcloud MCP server

A Model Context Protocol (MCP) server that reads and writes MS Excel data
Agent Skills

A collection of agent skills for pharmaceutical R&D.

Agentic IDE with custom harness

Lore injection: how fabricated memory becomes model trust

Claude Code / Codex skill — 面向中国 AI / ML 研究者,主投 、次投 、必要时冲刺 的论文写作技能。

Project management skill system for Agents that uses GitHub Issues and Git worktrees for parallel agent execution.

首先感谢 Andrej Karpathy 的《LLM Wiki》原文。这个项目直接受那篇 idea file 启发而来。

adds freshness decay (time-weighted memory), claim verification (verify_file_path MCP tool), 12 MCP tools (was 8), and 30+ bug fixes.

Curated guidance for AI assistants building MapLibre applications — covering ecosystem and open-source best practices.

Before I go to bed, I tell my agents: good night, have fun

A portable Agent Skill for AI product engineering + open-source maintainer intelligence . Map the repo. Route the task. Review risk. Prepare releases. Harden automation. Prove the result.

Stop TODO leftovers, leaked secrets, sloppy commits and red CI from reaching main — with zero review bandwidth spent on the obvious stuff.

A Hierarchical AI Agent Skill Set for managing AOSP platform integration, built on an MMU-driven Memory Model.