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profullstack/mcp-server

profullstack/mcp-server

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Official description๐Ÿ“‡ โ˜๏ธ ๐Ÿ  ๐ŸŽ ๐ŸชŸ ๐Ÿง - Developer utilities: SEO optimization, document conversion, domain lookup, email validation, QR codes, weather data, social media posting and security scanning.
Config template (adjust for your client)
claude mcp add mcp-server -- npx -y mcp-server
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
45 โ˜… ยท profullstack/mcp-server ยท read from the repository page ยท (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
Harvest history
first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร— ยท listed by 7 sources
Score
score 703 ยท 45 โ˜… ยท 7 sources ยท mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP ๆœๅŠก. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository profullstack/mcp-server๏ผ›first catalogued 2026-10-09๏ผ›last seen 2026-10-16ใ€‚There is no official certification or quality rating here โ€” we record sources and dates only.
Third-party quality signals

MCP Server (Model Context Protocol)

ไปฅไธ‹ๆ‘˜ๅฝ•่‡ช่ฏฅไป“ๅบ“็š„ README๏ผˆ็‰‡ๆฎต๏ผ‰ ยท ๅœจ GitHub ่ฏปๅฎŒๆ•ด README โ†’

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 โ€” curl, MCP clients, server-to-server calls โ€” 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
Source
awesome ยท https://github.com/profullstack/mcp-server
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