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> **MCP 是 Agent 工具的"USB 接口"——统一了工具的发现、调用和授权,但它不解决工具本身的质量问题,也不能让一个烂工具变好用。**
description: Collect and organize first-hand research materials for technical writing. Use when the user wants to gather official documentation, source code examples, GitHub issues, or original technical resources before writing. Outputs structured research files ready for the writing phase.
A comprehensive Model Context Protocol (MCP) server for GitHub API that enables AI assistants to interact with GitHub repositories, issues, pull requests, releases, and more.
GitHub operations via gh CLI. Use for pull requests/PRs, GitHub code search,
title: AI Agents and Toolsets Configuration Guide
> **MCP はエージェント(Agent)ツールの「USB インターフェース」だよ。ツールの発見・呼び出し・認可を統一してくれるけど、ツール自体の品質問題は解決してくれないし、ダメなツールを良くする魔法でもない。**
**Presentation for Runloop Final Interview**
title: "GitHub Topics & Skills Monitor"
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**Status**: ✅ Architecture Implemented (Commit 2146731c)
**场景**: 第一次使用 dogfood 技能对 localhost:8081 做完整 QA 测试
<a href="https://acuvity.ai">
**Parent:** [Project Design](../../PROJECT_DESIGN.md)
- `github_search_repositories` - Search for repositories
> How much usage do I need?
The GitHub MCP Server connects AI tools directly to GitHub's platform, giving AI agents the ability to read repositories and code files, manage issues and PRs, analyze code, and automate workflows through natural language interactions.
- [Introduction](#introduction)
> ## Documentation Index
I took some time to run Runloop through my research process and this report outlines my playbook for lead generation and customer growth tactics targeting AI/ML engineers, Agentic startups and large enterprises that are building coding Agents, Agentic solutions and Hybrid AI Automation products..
This document provides details about each of the Model Context Protocol (MCP) servers included in our docker-compose configuration, including their available tools and how to use them.
description: GitHub operations via gh CLI for pull requests/PRs, GitHub code search, and drafting exact gh commands. Always use instead of WebFetch for github.com.
<a href="https://acuvity.ai">
In the Model Context Protocol (MCP), there are three main capabilities:
MCPJungle Gateway is an enhanced AI platform gateway that integrates the Model Context Protocol (MCP) with authentication, OpenTelemetry tracing, and role-based access control (RBAC). It provides a unified interface to multiple MCP servers while maintaining security and observability.