Developer Tools MCP Servers

Webflow

Integrates Webflow MCP Server as a context server for Zed's Assistant.

MnemoX Lite

Provides a persistent, semantic memory system for large language models to overcome context limitations across conversations.

File Control

Enables AI assistants to interface with the local file system, providing advanced directory analysis and file editing capabilities.

AI Pair Programmer

Provides an AI Pair Programmer server offering various AI-powered tools for code development and analysis.

Reablocks

Generates production-ready React components using natural language processing and a deep understanding of Reablocks components.

Arbitrum Tools

Provides a suite of tools for interacting with the Arbitrum blockchain via the Model Context Protocol (MCP).

AutoEDA

Automates VLSI chip design flows, transforming natural language instructions into complete RTL-to-GDSII sequences via AI-powered orchestration and microservices.

Teamate

Facilitates AI agent communication and collaboration through a server-sent events (SSE) based system.

Spring Demo SSE

Demonstrates implementing Server-Sent Events (SSE) and Model Context Protocol (MCP) tooling with Spring Boot for real-time data streaming and AI integration.

Todoist

Integrates Todoist with Large Language Models (LLMs) via the Model Context Protocol (MCP).

RSS3

Query data across decentralized chains, social media platforms, and the RSS3 network.

Qonto

Connects Qonto financial accounts and data to AI models, enabling contextual responses and automated financial operations.

Wix

Enables AI clients to interact with Wix tools and services, such as documentation search, code writing, and API calls.

Harvest Natural Language Time Entry

Log Harvest time entries using natural language, including specific support for leave requests.

Development Server

Enables Claude to manage software development projects with project context awareness and code execution via Docker.

TokenScope

Enables large language models to efficiently explore and understand codebases by providing token-aware directory exploration and file content viewing.

Xcode CLI

Optimizes interactions with Xcode command-line tools by intelligently summarizing outputs, caching results, and providing progressive disclosure to significantly reduce large language model token usage.

Aterm2

Facilitates command-line interaction with LLMs, supporting MCP.

Langtools

Orchestrates best-in-class language tools for multi-language code analysis and static checks across AI agents, LLMs, and automation workflows.

Unity Editor

Empowers AI assistants to interact directly with the Unity Editor, facilitating AI-assisted game development and automation.