Developer Utility MCP
Provides developer utilities like UUID generation, hashing, JSON formatting, environment information, and reusable prompts via the Model Context Protocol.
README
Developer Utility MCP
A beginner-friendly Model Context Protocol (MCP) server built with Python to learn and demonstrate the core concepts of MCP through practical developer utilities.
This project focuses on understanding how an MCP-compatible AI host can discover and interact with Tools, Resources, and Prompts exposed by an MCP server.
Overview
Developer Utility MCP is a local MCP server that provides a small collection of developer-focused capabilities such as UUID generation, hashing, JSON formatting, environment information, and reusable prompts.
The project was intentionally kept simple so the focus remains on understanding the MCP architecture and protocol flow.
It demonstrates:
- MCP Host / Client / Server architecture
- stdio transport
- MCP Tools
- MCP Resources
- MCP Prompts
- Tool discovery and invocation
- Input schemas
- Structured outputs
- Input validation
- Controlled error handling
- Logging and observability
- MCP Inspector testing
- Claude Desktop integration
Architecture
flowchart TD
A[User] --> B[Claude Desktop / MCP Inspector]
B --> C[MCP Client]
C -->|stdio| D[Developer Utility MCP Server]
D --> E[Tools]
D --> F[Resources]
D --> G[Prompts]
E --> E1[get_current_status]
E --> E2[generate_uuid]
E --> E3[calculate_hash]
E --> E4[format_json]
F --> F1[dev://environment]
F --> F2[dev://python-version]
G --> G1[explain_environment]
G --> G2[explain_text]Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.