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Last active July 14, 2025 05:04
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Curated links for MCP Servers, Copilot customizations, AI coding context management, and prompt-friendly codebase tools.

About this Gist

A quick reference list of powerful tools and resources for setting up AI coding agents, customizing GitHub Copilot, and making your codebase prompt-friendly for better AI development workflows.


Name Link Description
MCP Servers for Agent Mode MCP Official VS Code MCP (Managed Coding Platform) for running, managing, and scaling coding agents remotely in secure environments.
Awesome GitHub Copilot Customizations Awesome Copilot A curated list of plugins, tools, and workflows to extend, tweak, and supercharge GitHub Copilot for different development needs.
AI Coding with Context Management 16x Engineer A set of tools and workflows for managing context windows, prompts, an
Gitingest Prompt-friendly codebase Turn any Git repository into a simple text digest of its codebase. This is useful for feeding a codebase into any LLM.
Opencode by SST OpenCode ADE The AI coding agent built for the terminal.
Figma Context MCP Github Repo MCP server to provide Figma layout information to AI coding agents like Cursor
Talk to Figma MCP Github Repo Cursor Talk To Figma MCP - Model Context Protocol (MCP) integration between Cursor AI and Figma, allowing Cursor to communicate with Figma like agentic ai for reading designs and modifying them programmatically.
Context7 Website Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Filesystem MCP Server Github Repo Node.js server implementing Model Context Protocol (MCP) for filesystem operations.
Notion MCP Github Repo MCP Server for the Notion API, enabling LLM to interact with Notion workspaces. Additionally, it employs Markdown conversion to reduce context size when communicating with LLMs, optimizing token usage and making interactions more efficient.

Github Links

  • Model Context Protocol Servers - The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources. Typically, each MCP server is implemented with an MCP SDK:
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