Developer Tools MCP Servers

Wasabina67

Provides a TypeScript example for building MCP servers.

Calculator

Provides a suite of mathematical functions accessible via a Model Context Protocol (MCP) server.

NEXIA

Provides persistent memory and context retention for Claude Desktop sessions, eliminating the 'goldfish memory' problem for AI.

Joke

Retrieves safe jokes with various filtering options from the JokeAPI.

Testing Server

Tests MCP servers within a web-based application designed for typical web hosting environments.

Swiftcode

Automates code generation for modern web development, producing TypeScript API clients and Vue.js components from specifications.

Intro

Explores Model Context Protocols (MCPs) through a practical, step-by-step guide to building a first custom MCP.

Time Server

Provides timezone conversions and time-related operations using the Model Context Protocol.

EVM

Enables AI agents to interact with multiple EVM-compatible networks via a unified interface.

Cli Client

Interacts with local and remote Machine Communication Protocol (MCP) servers using a command-line interface.

Forensics

Analyzes forensic evidence to identify people and their connections, generating Python code for network visualization.

Flask Webapp

Integrates LLMs with MCP tools, enabling users to process prompts using various AI models and contextual tools.

Polybar Notification

Enables desktop notifications and status bar messages through integration with polybar and dunst.

Twitch

Integrates AI assistants with Twitch chat via a Model Context Protocol (MCP) server.

Qingtianyu

Exposes enterprise microservice APIs via the MCP protocol with dynamic tool registration.

Brummer

Manages and monitors development tasks and scripts through an interactive terminal user interface with integrated external tool access.

Paprika

Connects Claude to custom SQL databases for real-time query and interaction, acting as a Model Context Protocol (MCP) desktop extension.

Zaifer

Enables Python-based access to the Zaif cryptocurrency exchange API via the Model Context Protocol (MCP), allowing large language models to interact with its functionalities using natural language.

Izzan Zahrial

Facilitates the creation of Model Context Protocol (MCP) servers and clients using Python.

Qdrant

Enables semantic code search by leveraging Qdrant vector database and OpenAI embeddings.