Developer Tools MCPサーバー

Apifox

Integrates Apifox API documentation with AI assistants using the Model Context Protocol (MCP).

Model Context Server

Implements the Model Context Protocol (MCP) as a comprehensive Python backend, integrating JSON-RPC 2.0, Azure OpenAI, and Server-Sent Events for streaming responses.

Wizlights

Enables large language models to control WiZ smart lights through a Model Context Protocol (MCP) server.

Calc-mcp72

Provides basic arithmetic operations as tools callable by Large Language Models (LLMs) through the Model Context Protocol.

Brightsy

Connects to a Brightsy AI agent using the Model Context Protocol.

Stun

Sends STUN Binding Requests (RFC8489) and returns the results via MCP.

Web Tools

Enables Large Language Models to interact with web content through standardized tools.

Satim Payment Gateway

Facilitates direct integration with the SATIM e-payment gateway for Algerian CIB/Edhahabia card transactions.

Popmelt

Exposes Talent AI profiles and styling capabilities for dynamic UI component styling using the Model Context Protocol.

HK Prompt

Delivers custom prompts to guide bot interactions within an MCP client environment.

Browser Recorder

Records browsing sessions using MCPML and Playwright.

Simple Server Setup

Demonstrates calculator operations via Server-Sent Events (SSE) and Standard Input/Output (STDIO) client-server communication modes.

Ynab

Provides access to YNAB (You Need A Budget) functionality through the Model Context Protocol.

RAG Demo

Demonstrates a Retrieval-Augmented Generation (RAG) application integrated with MCP server.

Airflow

Manages and monitors Apache Airflow DAG runs.

Clerk Template

Provides a production-ready template for building Model Context Protocol (MCP) servers with Clerk authentication on Cloudflare Workers.

Server Test

Facilitates the testing of server-side applications.

Cursor A11y

Identifies accessibility issues in web applications using AI agents and comprehensive testing.

Mcp-tools

Provides a collection of MCP tools.

Servers

Provides reference implementations for Model Context Protocol (MCP) servers, demonstrating how to give Large Language Models (LLMs) secure, controlled access to tools and data sources.