Developer Tools MCP 서버

Docs Fetch

Recursively fetches and extracts content from web pages for LLM consumption.

Zim

Provides a Model Context Protocol (MCP) server for accessing and searching content stored in ZIM files.

Daemonize

Enables AI agents to seamlessly manage and monitor long-running daemons via the Model Context Protocol.

Jira Integration

Automates and enhances Jira project management tasks through integration with Claude AI via the Model Context Protocol (MCP).

Apifox Demo

Enables developers to integrate Apifox API definitions with Cursor IDE for AI-assisted code implementation.

Notes

Manages persistent notes through a Model Context Protocol (MCP) server, built with the Python SDK.

Memory File

Enables Claude, and other Model Context Protocol (MCP) clients, to manage and access memories stored in a simple text file for enhanced context during conversations.

Mcp-Host-Use

Manages and connects to multiple Model Context Protocol (MCP) servers through a unified HTTP API.

Seq

Provides Model Context Protocol (MCP) access to Seq's API endpoints for interacting with a logging and monitoring system.

Pytest Results Context

Updates large language models with context about the most recent pytest results.

Face Generator

Generates synthetic human face images with configurable shapes and sizes.

Orchestrator

Intelligently orchestrates multiple Model Context Protocol (MCP) servers, enhancing workflows with AI automation and robust context analysis.

Unit Converter

Precisely converts values between various units of measurement.

Agents MCP Usage

Demonstrates the use of a Model Context Protocol (MCP) server with various agent frameworks like Google ADK, LangGraph, OpenAI Agents, and Pydantic-AI.

Image Description

Enables AI assistants to analyze images using xAI's Grok vision API, supporting web URLs and local files with integrated OCR capabilities.

Typesense

Interfaces with Typesense as a Model Context Protocol (MCP) Server.

Rollbar

Enables LLMs to interact with Rollbar error tracking data.

Stape

Enables interaction with the Stape API using AI assistants and AI-powered IDEs.

Swift Model Context

Implements the Model Context Protocol (MCP) in Swift for AI agent interaction, including client and server components.

Unstructured

Processes unstructured documents to enable LLMs to extract and utilize their content.