mcp-dev-utils
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-dev-utilsformat this JSON: {"name":"John","age":30}"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-dev-utils
A lightweight Model Context Protocol server that exposes everyday developer utilities as MCP tools and resources.
Built with mcp — the official Python MCP SDK (uses FastMCP for a clean, decorator-based API).

Tools
Tool | Description |
| Pretty-print and validate a JSON string |
| Generate 1–20 random UUID v4 values |
| Encode or decode Base64 strings |
| Look up an HTTP status code name and description |
| Convert a Unix timestamp to UTC or get the current time |
Related MCP server: agent-utils-mcp
Resources
URI | Description |
| Full reference list of supported HTTP status codes |
Running locally
Requirements: Python ≥ 3.11, uv (or pip)
# Install dependencies
uv sync
# Run over stdio (default — used by most MCP hosts)
uv run python server.py
# Or run as an SSE server on port 8000
uv run python -c "from server import mcp; mcp.run(transport='sse')"
# Test interactively in the browser
uv run mcp dev server.pyConnecting to Claude Desktop
Add the following to your claude_desktop_config.json:
{
"mcpServers": {
"dev-utils": {
"command": "uv",
"args": ["run", "python", "server.py"],
"cwd": "/absolute/path/to/mcp-dev-utils"
}
}
}On macOS the config lives at:
~/Library/Application Support/Claude/claude_desktop_config.json
On Windows the config lives at:
%APPDATA%\Claude\claude_desktop_config.json
Project structure
mcp-dev-utils/
├── server.py # All tools, resources, and server definition
├── test_client.py # Example MCP client for manual testing
├── test_msg.txt # Raw JSON-RPC messages (educational — use test_client.py for reliable testing)
├── pyproject.toml # Project metadata and dependencies
└── README.mdKey design decisions
Single-file server — keeps the codebase easy to read and audit at a glance; ideal for a portfolio piece where clarity matters.
FastMCP — the high-level SDK wrapper that removes boilerplate while still showing the underlying MCP concepts (tools, resources, structured arguments).
stdio transport — the default and most universally supported transport; no extra infrastructure needed.
No external dependencies — all tools rely only on the Python standard library plus
mcpitself.
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