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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Project Knowledge MCP

作者:punic-pillars版本 1.0.6i★ 1 (星标属于其他仓库)i在你的电脑上运行
注册名称io.github.batook22/project-knowledge-mcp

安装方法

What it does

Cross-project knowledge graph for MCP — map features across mobile, backend, and admin codebases.

  • Connects 在你的电脑上运行
  • Account or key No key needed
  • Category 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

通过 2/3 项检查 · 在你的电脑上运行 · ✓ 命令已检查 2026年11月13日

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude,但需要先准备

需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 打开电脑版 Claude 应用的设置文件

    SettingsDeveloperEdit Config

  3. 粘贴这些设置并保存文件

    {
      "mcpServers": {
        "project-knowledge": {
          "command": "npx",
          "args": [
            "-y",
            "project-knowledge-mcp"
          ]
        }
      }
    }
  4. 退出 Claude 再重新打开

  5. 试一试

    用 Project Knowledge MCP 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 Project Knowledge MCP,或回答中出现 Project Knowledge MCP 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 Project Knowledge MCP

Project Knowledge MCP 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器

你可以改用这些方式

A · 使用能连接 Project Knowledge MCP 的应用

  • 需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
  • 需要先在电脑上安装 Node.js(只需一次)
  • 需要先在电脑上安装 Node.js(只需一次)
  • 需要先在电脑上安装 Node.js(只需一次)

B · 搜索与 AI 记忆 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code,但需要先准备

需要先在电脑上安装 Node.js(只需一次)

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  3. 粘贴这条命令并按 Enter

    claude mcp add --scope user project-knowledge -- npx -y project-knowledge-mcp
  4. 在 Claude Code 中输入 /mcp

    应能看到 Project Knowledge MCP 在列表中并显示已连接

  5. 试一试

    用 Project Knowledge MCP 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 Project Knowledge MCP,或回答中出现 Project Knowledge MCP 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor,但需要先准备

需要先在电脑上安装 Node.js(只需一次)

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  3. 在 Cursor 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 Project Knowledge MCP 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 Project Knowledge MCP,或回答中出现 Project Knowledge MCP 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code,但需要先准备

需要先在电脑上安装 Node.js(只需一次)

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  3. 在 VS Code 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 Project Knowledge MCP 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 Project Knowledge MCP,或回答中出现 Project Knowledge MCP 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Project Knowledge MCP 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

安装在电脑上

Claude Code

claude mcp add --scope user project-knowledge -- npx -y project-knowledge-mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "project-knowledge": {
      "command": "npx",
      "args": [
        "-y",
        "project-knowledge-mcp"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "project-knowledge": {
      "command": "npx",
      "args": [
        "-y",
        "project-knowledge-mcp"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "project-knowledge": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "project-knowledge-mcp"
      ]
    }
  }
}

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。

一览

GitHub 星标i
1 (星标属于其他仓库)
此条目指向他人的仓库,因此星标不计入排名
每周下载量i
61/周
连接方式
在你的电脑上运行
最新版本i
1.0.6
发布到注册中心i
2026年5月8日
代码最后更新i
2026年8月13日
作者
punic-pillars
软件包
npm: project-knowledge-mcp
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

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13日

  • ! 注意

    作者与仓库一致

    发布者(batook22)不是仓库所有者(punic-pillars);可能是其他人代为上架的

  • ✓ 通过

    仍在维护

    代码最后更新于3个月前

  • ✓ 通过

    有许可证

    使用 MIT

  • – 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

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

用户评价

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用 Google 登录后写评价

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 6067 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 6067 个服务器的 11% 更新
  • 基础检查结果等于或优于此分类中其他 6067 个服务器的 50%

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

Project Knowledge MCP 安全吗?

它在 3 项适用的基础检查中通过了 2 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?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

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3个月前,最新版本(1.0.6)于6个月前进入注册中心。

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 Node.js。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Ruflo

同类别的其他选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ 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

Up-to-date docs for AI agents

作者:upstash广泛使用↓ 125万/周★ 6.5万昨天更新

电脑或云端

Codebase Memory

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

作者:DeusData广泛使用↓ 1.7万/周★ 4.9万27天前更新

在你的电脑上运行

Ruflo

Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.

作者:ruvnet广泛使用↓ 7.4万/周★ 8.2万 整个仓库的星标今天更新

在你的电脑上运行

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。

Project Knowledge MCP Server

A cross-project knowledge graph for the Model Context Protocol (MCP). Map features across mobile, backend, and admin codebases so your AI agent has full-stack context when testing, writing code, debugging, or adding features.


Quick Start

npx -y project-knowledge-mcp --knowledge-file ./project-knowledge.json

Then add to your MCP settings:

{

"mcpServers": { "project-knowledge": { "command": "npx", "args": [ "-y", "project-knowledge-mcp", "--knowledge-file", "C:\\projects\\project-knowledge.json" ], "autoApprove": [] } } }


Table of Contents

  • Overview
  • Features
  • Prerequisites
  • Installation & Configuration
  • Knowledge File Management
  • Tools Reference
  • Usage Walkthrough
  • Security
  • Contributing
  • License

Overview

The Problem

When working on a project with multiple codebases — for example, a React Native mobile app, a NestJS backend, and a Next.js admin panel — the AI agent has no awareness of how a single feature flows across all three. This leads to incomplete context, missed dependencies, and breaking changes that could have been caught earlier.

The Solution

This MCP server stores a knowledge graph of your features, mapping each workflow step to the relevant screens, endpoints, controllers, and files in every project. The AI agent can then query this graph to understand end-to-end feature flows, detect cross-project impacts before editing files, and keep type definitions synchronized across codebases.


Features

  • Multi-project awareness — register any number of projects (mobile, backend, admin, etc.)
  • Feature workflow mapping — define features as ordered steps across all projects
  • Auto-scanning — discover NestJS endpoints, Next.js pages, and React Native screens automatically
  • Full-text search — search across features, endpoints, files, and screens
  • Cross-reference lookup — given a file path, find which features reference it
  • Rich context — retrieve all endpoints, screens, and files for a feature at a specific workflow step
  • Breaking change detection — before editing a file, see which other projects will be affected
  • Type/schema synchronization — map equivalent types across projects (e.g., ProductCreateDto ↔ ProductFormSchema)
  • Architecture exploration — browse any project's directory tree with keyword filtering and content highlighting
  • Health validation — verify that all registered file paths still exist; auto-detect stale entries
  • Persistent knowledge — auto-saves to a JSON file after every mutation; can be git-tracked and shared
  • 100% dynamic — all configuration via CLI arguments and runtime tools; no source code edits required

Prerequisites

  • Node.js >= 18
  • npm >= 9 (or pnpm / yarn equivalent)
  • An MCP-compatible client (e.g., VS Code with Cline, any AI-powered IDE)

Installation & Configuration

Install from npm (recommended)
npm install --save-dev project-knowledge-mcp

Or run directly without installing:

npx -y project-knowledge-mcp --knowledge-file ./project-knowledge.json
Build from Source
git clone https://github.com/punic-pillars/project-knowledge-mcp.git

cd project-knowledge-mcp npm install npm run build

CLI Flags

All configuration is provided via CLI arguments. No environment variables or configuration files are required.

FlagDescriptionDefault
--backend-pathAbsolute path to the backend project—
--backend-frameworkBackend framework (nestjs, nextjs, react-native, or auto)auto
--backend-nameCustom name for the backend projectbackend
--mobile-pathAbsolute path to the mobile project—
--mobile-frameworkMobile frameworkauto
--mobile-nameCustom name for the mobile projectmobile
--admin-pathAbsolute path to the admin project—
--admin-frameworkAdmin frameworkauto
--admin-nameCustom name for the admin projectadmin
--knowledge-fileAbsolute path to persist the knowledge JSON./project-knowledge.json
MCP Client Configuration

Basic setup — register projects at runtime via tools:

{

"mcpServers": { "project-knowledge": { "command": "npx", "args": [ "-y", "project-knowledge-mcp", "--knowledge-file", "C:\\projects\\project-knowledge.json" ], "autoApprove": [] } } }

Bootstrap setup — pre-register projects at startup:

{

"mcpServers": { "project-knowledge": { "command": "npx", "args": [ "-y", "project-knowledge-mcp", "--knowledge-file", "C:\\projects\\project-knowledge.json", "--backend-path", "C:\\projects\\backend", "--mobile-path", "C:\\projects\\mobile", "--admin-path", "C:\\projects\\admin" ], "autoApprove": [] } } }


Knowledge File Management

The knowledge file is a plain JSON file that stores all registered projects, feature workflows, and type mappings. Understanding where it lives is essential for maintaining a consistent knowledge graph.

The Shared File Pattern

If your fullstack projects live in separate directories (e.g., backend/, mobile/, admin/), each IDE window starts the MCP server from a different working directory. Without --knowledge-file, each instance creates its own fragment:

backend/

└── project-knowledge.json ← only backend context

mobile/ └── project-knowledge.json ← only mobile context

admin/ └── project-knowledge.json ← only admin context

This defeats the purpose of cross-project awareness. Always use `--knowledge-file` with an absolute path to point all IDE windows to the same file:

projects/

├── project-knowledge.json ← single source of truth ├── backend/ ├── mobile/ └── admin/

Use the same `--knowledge-file` path in every IDE window, regardless of which sub-project you have open. All instances read and write to the same file, keeping the knowledge graph complete and consistent.

When the Default Is Safe

The default path (no --knowledge-file) is only safe when you open the monorepo root — the single directory containing all sub-projects:

my-monorepo/              ← open this in your IDE

├── project-knowledge.json ← created here, covers everything ├── backend/ ├── mobile/ └── admin/

If your projects are in separate repositories or directories, always use --knowledge-file.

Sharing with Your Team

Since the knowledge file is plain JSON, you can commit it to version control and share it with your team:

# Track the knowledge graph

git add project-knowledge.json git commit -m "chore: add project knowledge graph"

Or keep it local

echo "project-knowledge.json" >> .gitignore

Guideline: One fullstack project = one knowledge file. Use --knowledge-file with an absolute path whenever your projects live in separate directories.


Tools Reference

Project Management
ToolDescription
register_projectRegister a project with name, path, and framework
remove_projectRemove a registered project
scan_projectAuto-discover endpoints, screens, or pages from a project
Feature Management
ToolDescription
register_featureDefine a feature with its multi-project workflow steps
remove_featureRemove a feature
get_featureRetrieve full feature details (compact or verbose, with optional health check)
Search & Query
ToolDescription
searchSearch across features, endpoints, files, and screens
reverse_lookupFind all cross-project references to a file (graph-registered + scan-discovered), plus which features reference it
get_contextRetrieve cross-project context for a feature or step (with optional impact analysis)
Type/Schema Synchronization
ToolDescription
register_type_mappingsRegister one or more type mappings (accepts single object or array)
check_type_mappingFind all files across projects that define or reference a type
suggest_type_mappingsAuto-detect potential type mappings by scanning all projects
Architecture Exploration
ToolDescription
get_architectureExplore a project's directory tree with optional filter (path keyword), highlight (content keyword with ★ marker), and showAll (full tree with matches marked)
Validation
ToolDescription
validate_knowledgeCheck all registered file paths for stale entries; optionally auto-fix with fix=true
Persistence
ToolDescription
export_knowledgeConfirm the knowledge file path and trigger an explicit save (auto-persist handles this after every mutation)
import_knowledgeLoad knowledge from a JSON file (merge or replace, with preview)

Usage Walkthrough

This walkthrough demonstrates the core workflow using a real multi-project setup (NestJS backend, React Native mobile, Next.js admin panel). Domain names have been anonymized — "products" instead of "stations", "orders" instead of "reports" — but every command shown was run against actual projects.

Step 1: Register Projects
register_project { name: "backend", path: "C:/projects/backend", framework: "nestjs" }

register_project { name: "mobile", path: "C:/projects/mobile", framework: "react-native" } register_project { name: "admin", path: "C:/projects/admin", framework: "auto" }

Step 2: Scan Projects

Discover endpoints, screens, and pages automatically:

scan_project { projectName: "backend" }

scan_project { projectName: "mobile" } scan_project { projectName: "admin" }

The scanners discover 150+ endpoints, 200+ screens, and multiple admin pages across all registered projects.

Step 3: Define a Feature

Register an auth feature — a straightforward flow that touches all three projects:

register_feature {

name: "auth", description: "Authentication flow — login, register, forgot password, email confirmation", workflow: [ { step: 1, name: "Login", description: "User logs in with email and password", mobile: { screen: "LoginScreen", api: "POST /api/v1/auth/email/login" }, backend: { endpoint: "POST /api/v1/auth/email/login", controller: "AuthController", file: "src/auth/auth.controller.ts" }, admin: { page: "/login", file: "src/pages/Login" } }, { step: 2, name: "Register", description: "User registers a new account", mobile: { screen: "RegisterScreen", api: "POST /api/v1/auth/email/register" }, backend: { endpoint: "POST /api/v1/auth/email/register", controller: "AuthController", file: "src/auth/auth.controller.ts" } }, { step: 3, name: "Email Confirmation", description: "Confirm email address", mobile: { api: "POST /api/v1/auth/email/confirm" }, backend: { endpoint: "POST /api/v1/auth/email/confirm", controller: "AuthController", file: "src/auth/auth.controller.ts" } }, { step: 4, name: "Forgot Password", description: "Request password reset", mobile: { screen: "ForgotPasswordScreen", api: "POST

只显示了开头部分;其余内容请在仓库中阅读