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profullstack/mcp-server

profullstack/mcp-server

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配置模板(请按你的客户端调整)
claude mcp add mcp-server -- npx -y mcp-server
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
45 ★ · profullstack/mcp-server · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 45 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 profullstack/mcp-server;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

MCP Server (Model Context Protocol)

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

A generic, modular server for implementing the Model Context Protocol (MCP). This server provides a framework for controlling and interacting with various models through a standardized API.
Hosted deployment
A hosted deployment is available on Fronteir AI.
Features
- Modular architecture for easy extension
- Dynamic module loading
- Core model management functionality
- Standardized API for model context
- Simple configuration system
- Logging utilities
- Enhanced module structure with proper separation of concerns
- Package.json support for modules with dependency management
- Comprehensive testing infrastructure with Mocha and Chai
- Powerful module search functionality
- Module metadata display in API responses
- Integration with real AI model providers (OpenAI, Stability AI, Anthropic, Hugging Face)
- Support for text generation, image generation, and speech-to-text models
- Streaming inference support for compatible models
Getting Started
Prerequisites
- Node.js 18.x or higher
- pnpm 10.x or higher
This project uses ES Modules (ESM) exclusively. All imports use the import syntax rather than require().
Installation
Running the Server
The server will start on http://localhost:3000 by default.
Configuration
Copy the sample environment file and edit it with your API keys:
At minimum, you'll need to add API keys for the model providers you want to use:
You can get these API keys from:
- OpenAI: https://platform.openai.com/api-keys
- Stability AI: https://platform.stability.ai/account/keys
- Anthropic: https://console.anthropic.com/settings/keys
Security
The server has no global authentication layer, so anything that can reach the
port can call any module route. Modules that touch the filesystem or issue
outbound requests are constrained as follows.
**Module tokens.** Routes with side effects accept a token via
Authorization: Bearer or X-API-Key: . When the variable is
unset the routes stay open and a warning is logged at startup.
| Variable | Guards |
| ------------------------- | ------------------------------------------------------------------------ |
| SCANNER_API_TOKEN | /scanner/scan, /scanner/reports/:id/export, /tools/scanner |
| README_BADGES_API_TOKEN | /readme-badges/update, /readme-badges/detect, /tools/readme-badges |
**Path containment.** readme-badges resolves readmePath and rootDir
against README_BADGES_ROOT (default: the working directory) and refuses
anything that escapes it, targets a non-markdown file, or reaches outside via a
symlink. scanner confines exports to its reports directory the same way.
**Outbound request allowlists.** Modules that fetch caller-named URLs reject
loopback, link-local (cloud metadata), RFC1918, CGNAT and other non-public
addresses, resolve hostnames and check every returned address, and re-validate
each redirect hop. Where a module talks to one known service, the host is also
allowlisted:
| Variable | Extends the allowlist for |
| --------------------------- | ---------------------------------------------------- |
| CONVERT2DOC_ALLOWED_HOSTS | convert2doc baseUrl (default: convert2doc.com) |
| CRAIGSLIST_ALLOWED_HOSTS | /craigslist/details (default: *.craigslist.org) |
**Cross-origin requests.** CSRF_PROTECTION_ENABLED (default true) rejects
state-changing requests that carry a foreign Origin header, so a malicious web
page cannot drive a browser at a localhost-bound server. Clients that send no
Origin — curl, MCP clients, server-to-server calls — are unaffected. List
trusted browser origins in CORS_ORIGINS.
Run the server behind an authenticating reverse proxy if it is exposed beyond
localhost.
Testing the Server
The repository includes comprehensive testing using Mocha and Chai:
The testing infrastructure includes:
1. Core server tests for module loading, routing, and other core functionality
来源
awesome · https://github.com/profullstack/mcp-server
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