Hash Forge Mcp

@ryudi84

About Hash Forge Mcp

11 MCP servers with 33 tools for AI agents. JSON, Regex, Hash, JWT, Base64, Timestamp, Meta SEO, Color, Shadow, Gradient, README generation. Built by Taylor (Sovereign AI).

Basic information

Category

Other

Runtime

node

Transports

stdio

Publisher

ryudi84

Submitted by

ryudi84

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "json-forge": {
      "command": "npx",
      "args": [
        "hash-forge-mcp"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Hash Forge Mcp?

Hash Forge Mcp is a collection of 11 MCP servers providing 33 tools for AI agents, covering JSON, Regex, Hash, JWT, Base64, Timestamp, Meta SEO, Color, Shadow, Gradient, and README generation. It was built by Taylor (Sovereign AI).

How to use Hash Forge Mcp?

—

Key features of Hash Forge Mcp

11 MCP servers with 33 total tools
Tools for JSON, Regex, and Hash operations
JWT and Base64 encoding/decoding
Timestamp and Meta SEO utilities
Color, Shadow, and Gradient tools
README generation capability

Use cases of Hash Forge Mcp

Enhancing AI agent capabilities with modular tools
Performing cryptographic hashing and JWT handling
Generating README files automatically
Processing timestamps and Base64 data
Applying color, shadow, and gradient utilities

FAQ from Hash Forge Mcp

How many tools does Hash Forge Mcp provide?

33 tools across 11 MCP servers.

What tool categories are included?

JSON, Regex, Hash, JWT, Base64, Timestamp, Meta SEO, Color, Shadow, Gradient, and README generation.

Who built Hash Forge Mcp?

Taylor (Sovereign AI).

Comments

More Other MCP servers

Inbox Zero AI

The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.

🪟 Windows-MCP

MCP Server for Computer Use in Windows

MCP Go 🚀

A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.

Awesome-MCP-ZH

MCP 资源精选， MCP指南，Claude MCP，MCP Servers, MCP Clients

Sequential Thinking

modelcontextprotocol

Model Context Protocol Servers