Cortex

Name: Cortex
Author: VBlackJack

作者：VBlackJack版本 2026.1021.3i★ –i在你的电脑上运行

注册名称io.github.VBlackJack/cortex

安装

概览

作者提供的说明（英文原文）

Local multi-client RAG server over the Model Context Protocol.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 搜索与 AI 记忆
你需要填写：CORTEX_KB_PATH

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： CORTEX_KB_PATH

你需要

PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "cortex": {
      "command": "uvx",
      "args": [
        "cortex-local-rag",
        "serve"
      ],
      "env": {
        "CORTEX_KB_PATH": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add cortex --env CORTEX_KB_PATH=your-value -- uvx cortex-local-rag serve

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "cortex": {
      "command": "uvx",
      "args": [
        "cortex-local-rag",
        "serve"
      ],
      "env": {
        "CORTEX_KB_PATH": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "cortex": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "cortex-local-rag",
        "serve"
      ],
      "env": {
        "CORTEX_KB_PATH": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

CORTEX_KB_PATH 必填 env
Absolute path to the local knowledge base Cortex indexes and serves.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 VBlackJack 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 7233 个服务器的 0%
发布到注册中心的时间比此分类中其他 7233 个服务器的 71% 更新
基础检查结果等于或优于此分类中其他 7233 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Cortex 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：CORTEX_KB_PATH

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（2026.1021.3）于16天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者：upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT3天前更新

安装

Codebase Memory

作者：DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新

安装

Exa

作者：exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT44天前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Cortex - RAG MCP for a knowledge base

English | Français

Cortex is an MCP (Model Context Protocol) server that exposes semantic search over a local knowledge base. It lets Claude, Codex and Gemini find the right passage in your documents without wasting their context window. Search is semantic (by meaning, not keyword), in French and in English. Cortex processes and indexes the knowledge base locally without sending its content; the MCP client may still pass requested chunks to its model under its own policy. The optional Confluence writer only downloads explicitly allowlisted spaces; the generated Markdown, vector index, and lexical index remain local.

Starting with 2026.0906.01, Companion offers a guided home screen, operation history and Confluence setup from one page or space link. Connection and measured scope confirmation stay in the flow; successful collection is followed by indexing. Use the combined installer to keep Cortex and Companion compatible.

Since 2026.0909.02, Confluence updates preserve the served generation when subtree enumeration fails and apply changed target/classification settings on retry. Search uses multilingual vector retrieval by default; CLI and MCP callers can explicitly select hybrid or reranked search. The first successful collection after upgrading regenerates older publication revisions, and the following sync removes obsolete index entries.

Guided document updates (2026.0909.00)

Companion brings local documents and Confluence together in My sources, with one Update my documents action. Search previews are resizable, large page trees render visible rows, and cancelling review preparation keeps the draft. Readiness now follows the saved document folder and configuration, including after restart. Run one document update after upgrading to establish this evidence for older indexes. See the release notes.

Measured scope without enumerating the space (2026.0907.00)

Adding a Confluence source measures its page, subtree and whole-space scopes with one indexed count each instead of reading the space page by page. On a 5916-page space that measurement took 3 min 19 s, past the timeout of every graphical caller, so Companion showed nothing at all. It now answers in about a second, and the emitted contract is unchanged.

Two whole-space numbers shift by one as a result: the resolved page is no longer folded into the space total, and a space with no visible page reports zero rather than one. A deployment whose search endpoint returns no total cannot measure a scope and reports that as a permanent failure instead of a retryable one. See the contracts.

Paired Companion 2026.0907.00 restores the contrast of the scope window, whose options were drawn in the system text colour, and stops reporting a timeout as a connection failure or advising a delay increase that silently reverts.

Source management in Companion (2026.0906.02)

The workflow includes search, remote page trees, impact review, evidence-based readiness, save-and-update, last-removal undo and recovery actions. See the contracts.

Paired version 2026.0906.02 provides visible My sources cards, a prefilled selection editor, confirmed page/space removal and browser links to originals. Removal only changes Cortex tracking; search reflects it after successful collection and indexing.

Removing the final source explicitly writes spaces = [] in a schema v2 or v3 configuration. This intentional empty allowlist permits an empty publication with tombstones for prior documents. An absent spaces key remains incomplete configuration and collection is refused. Connection and credential validation and publication safeguards still apply. Both updated components are required; this capability is absent from the installed 2026.0906.01 release.

Installation

Windows, no Python (recommended)

The simplest path: one installer for Cortex, Cortex Companion, the windowless Confluence converter, and the offline models. No separate Python or .NET runtime is required.

Download Cortex-Setup.exe and SHA256SUMS from the latest release.
Before running the unsigned installer, calculate its digest with Get-FileHash .\Cortex-Setup.exe -Algorithm SHA256 in PowerShell and verify that it exactly matches the Cortex-Setup.exe line in SHA256SUMS.
Double-click only after that check. If SmartScreen still warns, select More info, then Run anyway.
Choose the folder that holds your documents, keep Index everything in this folder, and finish. Cortex Companion opens when installation completes. Indexing only starts when you request synchronization in Companion.
In Companion, open Settings and verify the knowledge-base folder. The Cortex executable installed with Companion is detected automatically.
Drop your documents in that folder, open Local database, then select Synchronize local documents.
Restart your AI application: Cortex shows up there as an MCP server.

Companion then lets you synchronize, schedule, diagnose, and configure Cortex without a terminal. Details, silent mode and reinstall: Windows install.

Standalone archives (Windows x64, macOS Apple Silicon, Linux x64)

Every release also ships one ZIP archive per platform. It unpacks to a cortex/ folder holding the cortex or cortex.exe executable (MCP server + CLI, no Python), its runtime, and the licenses for every embedded dependency; keep the folder whole. See Standalone distribution.

From PyPI (Python, advanced)

py -m pip install --upgrade cortex-local-rag

cortex setup

This path installs the CLI and MCP server, but not Cortex Companion. The model is downloaded on first use if its cache is empty.

From source (development)

:: From the folder where you cloned Cortex

install.bat

install.bat and sync.bat are the development path for a source checkout, not a supported end-user installation: install.bat installs the unlocked dependencies from requirements.txt, and sync.bat indexes the folder section by section without the Confluence documents. To use Cortex, install Cortex-Setup.exe or a standalone archive instead. Details: Setup.

How it works

Documents folder (.md, .pdf)       Optional Confluence writer (REST)

| | | current Markdown generation +------------------+-------------------+ | v cortex sync <- Split, hash, vectorize, update FTS5 | v %LOCALAPPDATA%\Cortex\ <- ChromaDB + lexical.db | v cortex serve <- MCP server (FastMCP) | v MCP clients <- Claude / Codex / Gemini / Antigravity / LM Studio / Cursor / Windsurf / VS Code

The embedding model is the multilingual ONNX paraphrase-multilingual-MiniLM-L12-v2. The Windows installer bundles it; a source installation or standalone binary downloads it when the local cache is empty.

Two indexing modes

Whole folder (default): anything you place in the chosen folder, at the root or in any subfolder, becomes searchable. Nothing to configure.
Sections (advanced): limits indexing to named subfolders you can search separately (defaults knowledge, projects, notes).

These modes govern the user-selected document folder. Generated ingestion documents are indexed separately from the current published generation with source_kind=doc and section sources.

Details: Configuration.

The `cortex` command

The installed package exposes a single command:

Subcommand	Purpose
`cortex setup`	Config + index + client registration in one go (`--kb-path`, `--yes`, `--no-index`, `--reset`).
`cortex serve`	Runs the MCP server (used by clients).
`cortex sync`	Incremental index synchronization.
`cortex search`	Searches the index from the console (debugging aid).
`cortex ingestion`	Shows source health and whether catch-up is due.
`cortex confluence`	Stores the PAT interactively or runs the allowlisted writer.
`cortex config`	Reads or changes configuration through an atomic JSON contract, notably for Companion.
`cortex daemon`	Runs, inspects or stops the shared per-user server used when `[server] mode = "shared"` (opt-in).
`cortex bundle`	Describes or verifies an encrypted portable archive.
`cortex doctor`	Installation diagnostics (read-only).
`cortex register` / `cortex unregister`	Adds or removes Cortex from MCP clients.
`cortex init`	Creates the single per-user configuration.
`cortex check`	Verifies the installation.

cortex --help describes every subcommand and cortex --help describes its options. A prompt-free installation scripts as:

cortex setup --yes --kb-path "D:\Documents\Knowledge"

Exposed MCP tools

Tool	Description
`cortex_search`	Multilingual vector search by default; optional `retrieval_mode` (`vector`, `hybrid`, `rerank`). Parameters: `query`, `section`, `top_k` (1-10), source/author filters, and occurred/updated date ranges.
`cortex_sync`	Triggers an incremental sync of the selected folder and, on a full sync, the current published document generation.
`cortex_list_sections`	Lists included sections and "out of policy" folders.
`cortex_freshness`	Read-only vault and ingestion freshness summary. Parameters: `section` (optional), `include_entries` (`false` by default).

Documentation

Table of contents
Windows install: unified Cortex + Companion + Confluence converter + models installer, corpus choice, silent mode, reinstall.
Standalone distribution: per-platform archives and reproducible builds.
Install from source: prerequisites, MCP clients.
User guide: sync, search, tools, doctor, logs.
FAQ: installation, local data, sync, and diagnostics.
Release notes: user-visible changes by version and the published-history notice.
Technical changelog: complete changes by version.
Configuration: config.toml, indexing modes, sections, data home, migration.
Ingestion scheduling: source health, catch-up, retries, and Task Scheduler.
Metadata v2 migration: structured search metadata, backup, migration, and restore.
Confluence writer: allowlisted REST ingestion, Windows Credential Manager, conversion, and atomic generations.
Reproducible install: requirements.lock, --require-hashes, regenerating the lock.
Public specification: MCP surface, index contracts, data, distribution, and limits.
Architecture: end-to-end and technical choices.
Security: local runtime, telemetry off, single-writer.

Prerequisites

Path	Requirements
Windows installer	No separate Python or .NET runtime. At least ~500 MB of space (applications, model + index).
Standalone archive	No Python. ~500 MB of space (model + index).
From source	Python 3.11 to 3.13. ~500 MB of space.
Client	Claude Desktop/Code, Codex, Gemini, Antigravity, LM Studio, Cursor, Windsurf or VS Code (MCP support).

License

Apache 2.0. See LICENSE.

R

只显示了开头部分；其余内容请在仓库中阅读