Developer Tools MCPサーバー

Excalidraw

360

Enables Large Language Models to interact with Excalidraw diagrams and drawings through a structured API.

Semantic Workbench

359

Prototype intelligent assistants, agents, and multi-agentic systems with a versatile and cohesive interface.

Voice Mode

357

Enables natural, human-like voice conversations for AI assistants like Claude and ChatGPT.

AnnotateAI

355

Automatically annotates papers using Large Language Models (LLMs) to provide contextual information while reading.

Hub

354

Manages and monitors multiple Model Context Protocol (MCP) servers from a central location.

AI Tools for Devs

354

Enables agentic AI workflows for developers using Docker containers and Markdown prompts.

Spec-Driven Development

354

Facilitates spec-driven development workflows by providing structured prompts for generating requirements, design documents, and code.

Codefetch

353

Converts code into Markdown format for use with Large Language Models (LLMs) through a simple terminal command.

K8s Go

351

Connects to Kubernetes, providing a Model Context Protocol (MCP) server for interacting with Kubernetes resources.

Baidu Maps

350

Provides a set of MCP-compatible APIs for accessing Baidu Maps functionalities, including geocoding, place search, route planning, and more.

Godot

349

Integrates the Godot Engine with AI assistants for enhanced game development workflows.

Alchemy

344

Connects large language models to relational databases, enabling exploration, query assistance, and data analysis.

Tfmcp

343

Enables AI assistants to manage and operate Terraform environments through the Model Context Protocol (MCP).

Vercel Adapter

341

Provides an adapter for the Model Context Protocol (MCP), enabling real-time communication between web applications and AI models on frameworks like Next.js.

Opencoder

339

Provides a local, open-source coding assistant experience similar to Claude Code, leveraging the Vercel AI SDK.

PaellaDOC

338

Provides an AI-first development framework that uses the Model Context Protocol (MCP) to enable Large Language Models (LLMs) to interact with development tools and context.

MCPSharp

338

Enables building Model Context Protocol (MCP) servers and clients in .NET for AI assistant integration.

Apify Actors

337

Enables AI applications to use Apify Actors as tools for performing specific tasks like data extraction and web scraping.

Dify Plugin Daemon

337

Manages the lifecycle of plugins for the Dify API server, supporting local, debug, and serverless runtimes.

Llm Bridge

337

Connects Model Context Protocol (MCP) servers to OpenAI-compatible LLMs.