Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Standalone MCP server with PASH compression. Saves ~87% LLM tokens via dynamic tool registration.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account AkynZH, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
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It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.
In the same category: Context7, Codebase Memory, Exa
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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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Standalone MCP Server with PASH Compression (Phoenix Architecture)
Этот проект представляет собой минимальный, production-ready Model Context Protocol (MCP) сервер, извлеченный из экосистемы Felix. Он разработан для предоставления внешних инструментов (Cursor, Claude Desktop и др.) с максимальной экономией токенов благодаря встроенному PASH-сжатию.
mcp_engines и загрузка инструментов из manifest.json.stdio с конфигурацией через .env.Для разработчиков, вносящих изменения в серверную часть (sse_server.py, тесты): строго соблюдайте паттерн [Surgical Process Cleanup by Port](docs/RUNTIME_SAFETY.md). Глобальное убийство процессов (taskkill /IM) категорически запрещено, так как оно обрывает агентскую сессию.
Felix MCP Standalone is a self-contained product. It shares principles, not code with the internal Felix core (C:\Users\53\Felix).
src/product_judge.py) is an independent implementation of deterministic validation. It shares the principle of "structural validation before output" with the internal Mirror Forge Synthesis, but has zero shared code by design. This is intentional technical debt prevention.Why this matters: When you install this package, you get a complete, autonomous system. No hidden dependencies on internal infrastructure.
git clone https://github.com/AkynZH/pash-mcp-server.git
cd pash-mcp-server pip install -e .
Скопируйте .env.example в .env и настройте пути:
MCP_ENGINES_DIR=./mcp_engines
LOG_LEVEL=INFO PASH_MIN_THRESHOLD=500
Создайте директорию mcp_engines и поместите в неё подпапки с manifest.json и исполняемыми файлами ваших MCP-серверов.
python server.py
Сервер запустится в режиме stdio и будет готов к подключению через совместимые клиенты (например, Claude Desktop).
pash-mcp-server/
├── server.py # Точка входа (FastMCP) ├── src/ │ ├── config.py # Pydantic-конфигурация │ ├── router.py # Сканер и JSON-RPC прокси │ └── compressor.py # Ядро PASH-сжатия ├── config/ │ └── manifest.example.json # Пример манифеста └── tests/ # Изолированные тесты
This repository serves as the cognitive core designed to be paired with an interface like Odysseus.
*We believe in shipping what works and clearly labeling what is being built.*
MIT License (c) 2026 AkynZH